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Visual Signal Analysis and Processing Center(VSAP)

Visual Signal Analysis and Processing Center (VSAP)

VSAP Logo

The Visual Signal Analysis and Processing (VSAP) Research Center is a joint initiative between Khalifa University and the University of Bristol, U.K. It aims to provide a focus for all imaging and video research within Khalifa University. 

The center’s mission is to be a recognized leader in image and video analysis and processing and to promote the creation of transformative technologies that will benefit the knowledge based economy and improve the well-being of individuals in the society.
                                                      - Dr. Mohammed Ebrahim Al-Mualla, VSAP Director

VSAP research is centered around three main application domains: Surveillance and Machine Vision; Video Communications and Image Security; Biometrics and Bio-Imaging.

Research Areas

VSAP's objectives are:

  • To reach national and international prominence as an academic source of high quality scientific and technological research and development in practise and service.
  • To support and guide the university in educating the next generation of leaders, innovators and research professionals.
  • To enhance the reputation of the center and advance research growth through strategic academic partnerships and industrial / governmental outreach.
  • To build research capacity through individuals, collaborators, and network to meet current and future evolving needs of the center.
  • To establish and maintain a sustainable, diverse and productive research centre with state-of-the art laboratories and infrastructure to support cutting edge research and academic integration.
  • To showcase and create awareness of the centre to promote its value to the community and society. 

Contact Us

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Visual Signal Analysis and Processing Center

Room: 329, F Building, Khalifa University
Abu Dhabi, U.A.E

Email: 

Phone: +971 (0)2 501 8370

 

VSAP Brochure             VSAP Flyer

 

Director

Dr. Mohammed Al Mualla

Faculty

Prof. Hussain Al Ahmad Prof. Jorge Dias
Dr. Ali Dawood Dr. Andzej Stefan Sluzek
Dr. Naoufel Werghi Dr. Harish Bhaskar
Dr. Hassan Al-Muhairi Dr. Fatma Taher 
Dr. Husameldin Mukhtar  

Visiting Faculty

Prof. David Bull Dr. Paul Hill

Researchers 

Ms. Dina Atia Dr. Marwa Chendeb

Graduate Students

Essa Baseed Ms. Yasmeen Saleh Abu-Kheil (PhD student)
Ms. Sohailah Makhmasi (PhD student) Mr. Khalfan Al Marashda (PhD student)
Mr. Buti Mohammad Al Delail (PhD student)  Ms. Nour Osama Abdallah Abura'ed (MSc student)
Mr. Mohammed Sami (PhD student) Mr. Hamdan Al Shekalli 
Mr. Claudio Tortorici  

Previous researchers and collaborators 

Dr Artur Loza (Postdoctoral fellow, 2012-14; Now at European Patent Office in Netherlands)

Mr. Tao Zhou( PhD Intern from Shanghai Jian Tong University, China, 2015)

Mr. Kartik Dwivedi (BSc. Intern from IIT Guwahati, India, 2013)

 

  

VSAP research is centered around three main application domains: Surveillance and Machine Vision; Video Communications and Image Security; and Biometrics and Bio-imaging.

surveillance machine vision

Current projects: 

  • Remote Sensing Image Segmentation using Convolutional Neural Network and Its Applications to Pan sharpening and Detection, Ph.D. Project of Mr. Essa Basaeed, Supervised by Dr.Mohammed Al-Mualla and co-supervised by: Dr.Harish Bhaskar, Buhooth Scholarship, 2011–2016

  • Action/Gesture Recognition under Dynamic Illumination Conditions, Ph.D. Project of Mr. Buti Al-Delail, Supervised by Dr.Harish Bhaskar and co-supervised by: Dr.Jamal Zemerly and Dr.Mohammed Al-Mualla, Buhooth Scholarship, 2014–2018

  • Crowd Emotion Detection and Visualization from Stationary Video Feeds, Ph.D. Project of Ms. Sohailah Alyammahi, Supervised by Dr.Harish Bhaskar and co-supervised by: Dr.Dymitr Ruta and Dr. Mohammed Al-Mualla, Buhooth Scholarship, 2014–2018

  • Visual Data Mining during Aerial Surveillance, M.Sc. Project of  Mr. Hamdan Al Shekalli,  Supervised by Dr.Andrzej Sluzek and co-supervised by: Dr.Harish Bhaskar, EARTH/ETIC Scholarship, 2015-2017

  • A Quantum-based Approach to De-noising High ISO Images, M.Sc. Project of Ms. Nour Abura’ed, Supervised by Dr.Faisal Shah Khan and co-supervised by: Dr.Harish Bhaskar, Teaching Assistantship Scholarship, 2015-2016

  • Optimization-based Technique for Body-parts Localization in Video, Ms. Dina Atia, Supervised by Dr. Mohammed Al-Mualla and co-supervised by: Dr.Harish Bhaskar, Visual Signal Analysis and Processing (VSAP) Research Center, 2015–2017

Completed projects:

  • Sensor fusion-based big data analytics for intelligent healthcare surveillance system, AED 354245, Khalifa University-Korean Advanced Institute of Science and Technology KAIST, 2015

  • Compliant Exoskeleton: Shared Autonomous Mobile Robot Manipulation Using a Compliant Exoskeleton, AED 2,210,000, Khalifa University Internal Research Fund Level 2, 2014-2015

  • Wireless Baseband: SoC for Biomedical and Surveillance Applications, AED 1,650,000, Semiconductor Research Center (SRC) , 2013-2014

  • Crowd Analysis in Surveillance Environments, AED 199250, Khalifa University Internal Research Fund Level 1, 2013

  • Intelligent Multi-Sensor Surveillance System for Elderly Care, AED 250000, Khalifa University-Korean Advanced Institute of Science and Technology KAIST, 2013

  • Autonomous Human Target Identification and Tracking using Multiple Cameras in Crowded Environments, AED 176354, Khalifa University Internal Research Fund Level 1, 2012

  • Efficient algorithms and architectures for feature point detection

  • Target detection, tracking and Identification using multiple cameras (static/moving)

  • Autonomous human target identification and tracking using multiple cameras in crowded environments

  • Low light image enhancement – fog/haze removal

Facilities:

  • Indoor surveillance environment consisting of 6 cisco cameras with a 4TB Rack Server
  • Dark room environment for lighting controlled data collection and experimentation
  • Cameras: Canon 1D, Lytro Illum, FLIR Thermal camera, USB FLEA, Kinect, among others.

Expertise:

  • Low-level image enhancement RR Contrast enhancement RR Perceptual image processing
  • Target detection, tracking, reidentification and motion analysis
  • Multi-camera modeling, calibration, tracking
  • Moving camera target detection and tracking
  • Visual search and classification.

Current projects: 

  • Securing Video Transmission of Remote Surveillance using Selectively Combined In-Compression and Encryption Techniques, Ph.D. Project of Mr. Khalfan Al-Marashada, Supervised by Dr.Mohammed Al-Mualla and co-supervised by: Dr.Harish Bhaskar and Dr.Thomas Martin, EARTH Scholarship, 2013–2017
  • Digital image watermarking for medical images, Prof. Hussein Al-Ahmad and Dr. Fatma Taher, 2014-2018

Completed projects:

  • Link adaptation for wireless video communication systems, Ph.D. Project of Mr. Husameldin Mukhtar, Supervised by Dr. Mohammed Al-Mualla and co-supervised by Dr. Arafat Al-Dweik, 2011-2014

  • Digital image watermarking for satellite images

Facilities:

  • VSAP hosts HPC facilities through its IBM Server (IBM System x3650 M3). Samsung SUR40 with Microsoft® PixelSense™
  • VSAP strongly partners with University of Bristol and Khalifa University Robotics Institute
  • (KURI) for data acquisition, field-testing and operations
  • VSAP works together with the Information Security group at KU on some projects

Expertise:

  • Scalable video coding, transcoding
  • Link adaptation
  • Wireless video communication efficiency, complexity and resilience
  • Digital watermarking.

Biometrics and Bio-imaging

Biometrics

Current projects 

  • Automatic polyp detection in endoscopy videos, AED 152571, Al Jalila Foundations, 2016-2017

  • Enhanced imaging techniques for identification of calcification in Abdominal Aortic Aneurysm (AAAs), AED 270541, Al Jalila Foundations, 2016-2017

  • Computer-Aided Diagnosis System for Early and Automated Detection of Infantile Dysmorphic Syndromes in the UAE, AED 1674000, Khalifa University Internal Research Fund Level 2, 2015-2016

  • Detecting Down Syndrome in Infants Using Facial 2D and 3D Images, AED 190000 Khalifa University Internal Research Fund Level 1, 2014

  • Capsule localization using multiple images in capsule endoscopy, Ph.D. Project of Ms. Yasmeen, Supervised by Prof. Jorge Dias and co-supervised by Dr. Harish Bhaskar, and Prof. Paulo Dario, 2014 – 2017

Completed projects

  • Computer-Aided Diagnosis System for Early Detection of Cervix Cancer from Pap Smear images, AED 46000, Terry Fox Foundation, 2014
  • People identification from Partially Hidden 3D Facial Images, AED 160000, National Research Foundations, 2014
  • A Grading System for Assessing Posterior Capsule Opacifiaction using Medical  Images, AED 190000, National Research Foundation, 2012

Facilities

  • Dedicated Biometrics lab space within the VSAP center.
  • 3D Face scanners, Bumblebee Stereo camera, Multispectral Fingerprint scanner, Fujitsu PalmSecure Palm Vein Scanner and Gazepoint Eye Tracker.
  • VSAP strongly partners with University of Bristol and Biomedical Engineering Department at KU for field testing and operations.
  • VSAP also has strong links with key medical institutions and clinics that provide necessary support and data on several projects.

Expertise

  • 2D/3D Face analysis
  • Face Expression Analysis
  • Macro-scale / Micro-scale object motion capture, detection, tracking and analysis Segmentation and detection
  • 2D, 3D modeling and reconstruction
  • Visualization and assessment of medical digital images

Patent: 

  • E.Salahat, H.Saleh, A.Sluzek, M.Elnaggar, ARCHITECTURE FOR REAL-TIME EXTRACTION OF EXTENDED MAXIMALLY STABLE EXTREMAL REGIONS (X-MSERs), US Patent 9,600,739, granted 21 March 2017.
  • E.Salahat, H.Saleh, S.Salahat, A.Sluzek, M.Al-Qutayri, B.Mohammad, M.Elnaggar, OBJECT DETECTION AND TRACKING USING DEPTH DATA, US Patent 9,639,951, granted 2 May 2017.
  • S.Alyammahi, E.Salahat, H.Saleh, A.Sluzek, M.Elnaggar, HARDWARE ARCHITECTURE FOR LINEAR-TIME EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERs), US Patent Application 20170017853, published 19 January 2017.
  • E.Salahat, H.Slaeh, A.S.Sluzek, M.Al-Qutayri, B.Mohammad, M.Elnaggar, Novel Automatic MSER-based Exudates Detection in Fundus Images for Diabetic Retinopathy, US Patent Application filed 28 April 2017.

Journals:

  •   H.Saleh, A.Sluzek, B.Mohammad, M.Al-Qutayri, T.Assaf, E.Salahat, M.Ismail, High-Speed MSER Detection Algorithm for Industrial Inspection Applications, IEEE Transactions on Industrial Electronics (submitted 2017).
  • Y.Liu, B.S.Lee, D.Rajan, A.Sluzek, M.McKeown, CamType: Assistive Text Entry Using Gaze with an Off-the-shelf Webcam, Machine Vision & Applications (submitted 2017).
  • Pablo Lanillos, João Filipe Ferreira, Jorge Dias, A Bayesian Hierarchy for Robust Gaze Estimation in Human-Robot Interaction, Int. J. of Approximate. Reasoning, Spec. Issue on Unconventional Computing for Bayesian Inference (2017) DOI: 10.1016/j.ijar.2017.04.007
  • João Quintas, Paulo Menezes, Jorge Dias, Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-physical Human-Machine Systems, IEEE Transactions on Human-Machine Systems, Volume: 47, Issue: 3, 323 - 331, 2017 DOI: 10.1109/THMS.2016.2634923.
  • Juan C. García, Bruno Patrão, Luís Almeida, Javier Pérez, Paulo Menezes, Jorge Dias, Pedro J. Sanz - "Design and Evaluation of a Natural Interface for Remote Operation of Underwater Robots", IEEE Computer Graphics and Applications, 37, 1, 34-43, 2017 DOI: 10.1109/MCG.2015.118
  • Hadi Aliak., João F. Ferreira, V. B. Surya Prasath, Kannappan Palaniappan, Guna Seetharaman, Jorge Dias, A Probabilistic Framework for 3D Reconstruction Using Heterogeneous Sensors, IEEE Sensors Volume: 17 Issue: 9 DOI: 10.1109/JSEN.2017.2679187

 

Conference: 

  • R.Kozera, A.Prokopenya, L.Noakes, A.Sluzek, Bifurcations in Two-Image Photometric Stereo for Orthogonal Illuminations, AIP Conference Proceedings 1863, 400009 (July 2017), ICNAAM 2016, doi: 10.1063/1.4992578
  • A.Sluzek, MSER and SIMSER Regions: A Link between Local Features and Image Segmentation, CGDIP’17 Conference, July 2017, Prague, ACM, doi: 10.1145/3110224.3110227.
  • M.S.Zitouni, H.Bhaskar, A.Sluzek, Dynamic Textures Based Target Detection for PTZ Camera Sequences, IEEE Conf. on Systems, Man, and Cybernetics (SMC’2017), Banff (Canada).
  • Bilal Taha, Naoufel Werghi, Jorge Dias, "'Screening cervical-cancer using pap-smear images: A CONVOLUTIONAL NEURAL NETWORK Approach", Medical Image Understanding and Analysis (MIUA) 2017, Edinburgh, UK, 11-13 July, 2017 (accepted)
  • Yasmeen Abu-Kheil, Lakmal Seneviratne and Jorge Dias. "A SIMULATION ENVIRONMENT FOR ACTIVE ENDOSCOPIC CAPSULES", 30th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2017), Thessaloniki, Greece.
  • Yasmeen Abu-Kheil, Lakmal Seneviratne and Jorge Dias. "A Simulation Environment for a Magnetically Actuated Capsule Endoscopy". Won the best paper award in the mechanical and robotics track at the UAE Graduate Student Research Conference (GSRC 2017), Abu-Dhabi, UAE

 

Patent: 

  • E.Salahat, H.Saleh, A.Sluzek, M.Al-Qutayri, B.Mohammad, M.Elnaggar, HARDWARE ARCHITECTURE FOR REAL-TIME EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERs), US Patent 9,489,578, granted 8 November 2016.

Journals: 

      • A.Ĺšluzek, Machine Vision in Food Recognition: Attempts to Enhance CBVIR Tools, Annals of Computer Science and Information Systems, vol. 9, pp 57-61, 2016, doi: 10.15439/2016F579.
      • Cai Guowei, Tarek Taha, Jorge Dias, Lakmal Seneviratne, A Framework of Frequency-Domain Flight Dynamics Modeling for Multi-Rotor Aerial Vehicles, Journal of Aerospace Engineering, eISSN: 20413025| ISSN: 09544100
      • R. Almadhoun, T. Taha, L. Seneviratne, J. Dias, and G. Cai, "A survey on inspecting structures using robotic systems," International Journal of Advanced Robotic Systems, vol. 13, no. 6, Nov. 2016 DOI: 1729881416663664
      • Ricardo Martins, João Filipe Ferreira, Miguel Castelo-Branco, Jorge Dias, Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces, Neurocomputing, ISSN: 0925-2312.
      • K. K. Roud.; J. Dias; P. Peixoto; V. Metsis; U. Nunes, "A Multilevel Body Motion-based Human Activity Analysis Methodology," in IEEE Transactions on Cognitive and Developmental Systems , vol.PP, no.99, pp.1-1 DOI: 10.1109/TCDS.2016.2607154
      • K. K. Roud., U. Nunes and J. Dias, "Probabilistic Social Behavior Analysis by Exploring Body Motion-Based Patterns," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 8, pp. 1679-1691, Aug. 1 2016. DOI: 10.1109/TPAMI.2015.2496209
      • Shafiqul Islam, Peter X. Liu, Jorge Dias, Lakmal D. Seneviratne, "Adaptive Control for Robot Manipulators Using Multiple Parameter Models", International Journal of Control and Automation Systems, ISSN: 2005-4092
      • H. Mukhtar, A. Al-Dweik, and A. Shami, “Turbo Product Codes: Applications, Challenges and Future Directions,” IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 3052-3069, July 2016.
      • N. Werghi, C. Tortorici, S. Berretti, A. Del Bimbo, ‘’ Boosting 3D LBP-based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh’’, IEEE Transactions on Information Forensics & Security, 2016.
      • E Basaeed, H Bhaskar, P Hill, M Al-Mualla, D Bull, A supervised hierarchical segmentation of remote-sensing images using a committee of multi-scale convolutional neural networks, International Journal of Remote Sensing 37 (7), 1671-1691, 2016
      • MS Zitouni, H Bhaskar, J Dias, ME Al-Mualla, Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques, Neurocomputing, 2016

Conference: 

  • A.Sluzek, A.Alali, A.Alzaabi, A.Aljasmi, Visual Target Tracking Using a Low-Cost Methodology Based on Visual Words, Int. Conf. on Computer Vision & Graphics ICCVG 2016 (LNCS 9972, pp 498-508), Sept. 2016, doi: 10.1007/978-3-319-46418-3_44.
  • A.Sluzek, Near-duplicate Fragments in Simultaneously Captured Videos: A Study on Real-time Detection using CBVIR Approach, 13th Int. Conf. on Informatics in Control, Automation and Robotics (ICINCO’16), August 2016, Lisbon, pp 232-237, doi: 10.5220/0005971902320237. .
  • L.Yi, B.S. Lee, A.Sluzek, D.Rajan, M.McKeown, Feasibility Analysis of Eye Typing with a Standard Webcam, ECCV 2016 Workshops (ACVR), LNCS 9914, October 2016, Amsterdam, pp 254-268, doi: 10.1007/978-3-319-48881-3_18.
  • A.Sluzek, Improving performances of MSER features in matching and retrieval tasks, ECCV 2016 Workshops (DESCRW), LNCS 9915, October 2016, Amsterdam, pp 759-770, doi: 10.1007/978-3-319-49409-8_63.
  • A.Sluzek, H.Saleh, Algorithmic foundations for hardware implementation of scale-insensitive MSER features, 59th IEEE Int. Midwest Symposium on Circuits and Systems (MWSCAS), November 2016, Abu Dhabi, doi: 10.1109/MWSCAS.2016.7869972.
  • H. Mukhtar, A. Al-Dweik, and M. Al-Mualla, “Content-aware and occupancy-based hybrid ARQ for video transmission,” in IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Abu Dhabi, UAE, Oct. 2016.
  • R. Almadhoun, T. Taha, L. Seneviratne, J. Dias, and G. Cai, "Aircraft inspection using unmanned aerial vehicles," in International micro air vechicle competition and conference 2016, Beijing, PR of China, 2016, pp. 43-49. .
  • Luís Santos and Jorge Dias, User Routine Model using a Cloud-Connected Social Robot, 5th IEEE International Conference on Cloud Networking
  •  H. Fernandes and M. A. Aslam and J. Lobo and J. F. Ferreira and J. Dias, Bayesian inference implemented on FPGA with stochastic bitstreams for an autonomous robot, 26th International Conference on Field Programmable Logic and Applications (FPL) DOI: 10.1109/FPL.2016.7577312
  • D. M. Gan, J. S. Dai, Jorge Dias, and L. D. Seneviratne, "Optimal Design of of a Metamorphic Parallel Mechanism with Reconfigurable 1T2R and 3R Motion Based on Unified Motion/Force Transmissibility", Proceedings of the ASME 2016 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Charlotte, North Carolina, USA, August 21-24, 2016.
  • Guowei Cai, Adnan Saeed, Ahmad Younes, Tarek Taha, Jorge Dias, Lakmal Seneviratne, First-Principles Modeling of A Miniature Tilt-Rotor Convertiplane in Low-Speed Operation, AIAA Modeling and Simulation Technologies Conference, AIAA Aviation and Aeronautics Forum and Exposition 2016
  • R. Almadhoun, T. Taha, L. Seneviratne, J. Dias and G. Cai, "GPU accelerated coverage path planning optimized for accuracy in robotic inspection applications," 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), Abu Dhabi, 2016, pp. 1-4.
  • R. Ashour, T. Taha, F. Mohamed, E. Hableel, Y. Abu Kheil, M. Elsalamouny, M. Kadadha, K. Rangan, J. Dias, L. Seneviratne, G. Cai, "Site inspection drone: A solution for inspecting and regulating construction sites," 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), Abu Dhabi, 2016, pp. 1-4.
  • Y. Abu-Kheil, M. Mura, G. Ciuti, P. Dario, L. Seneviratne and J. Dias, "Trajectory analysis of endoscopic capsule images: A feasibility study," 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), Abu Dhabi, 2016, pp. 1-4.
  • M.C. El-Rai, C Tortorici, H Al-Muhairi, HA Safar, N Werghi, “Landmarks Detection on 3D Face Scans Using Local Histogram Descriptors”, IEEE 18TH Mediterranean Electrotechnical Conference, Melecon 2016, Cyprus, 2016
  • N. Medimegh, S. Belaid, N. Werghi, “Statistical Robust Watermarking for 3D Mesh Models Based on Salient Points”, 2nd international Conference on Advanced Technologies for Signal & Image Processing ATSIP’2016
  • H. Mukhtar, A. Al-Dweik, and M. Al-Mualla, “Low complexity hybrid ARQ using extended turbo product codes self-detection,” in IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, Dec. 2015.

Book Chapters:

    • H Bhaskar, D La Torre, M Al-Mualla, Exaggeration Quantified: An Intensity-Based Analysis of Posed Facial Expressions, Advances in Face Detection and Facial Image Analysis, 101-128

Journals:

  • E.Farahzadeh, T.-J.Cham, A.Sluzek, Scene recognition by semantic visual words, Signal, Image & Video Processing, vol. 9 (no.8), 2015, pp 1935-1944, doi: 10.1007/s11760-014-0687-7.
  • P.-Y.Kong, A.Sluzek, Average Packet Delay Analysis for a Mobile User in a Two-Tier Heterogeneous Cellular Network, dx.doi.org/10.1109/JSYST.2015.2438096, IEEE Systems Journal, published online 12 June 2015.
  • N. Werghi, S. Berretti, A. Del Bimbo, “The mesh-LBP: a Framework for Extracting Local Binary Patterns from Discrete Manifolds”, IEEE transactions on image processing, Vol. 24, No. 1, pp. 220-235, 2015.
  • N. Werghi, C. Tortorici, S. Berretti, A. Del Bimbo, “Local Binary Patterns on Triangular Meshes: Concept and Applications”, Computer Vision and Image Understanding, 2015
  • S. Berretti, N. Werghi, A.D. Bimbo P. Pala, “Selecting stable keypoints and local descriptors for person identification using 3D face scans”, The Visual Computer, springer, 2014
  • H.Bhaskar, K.Dwivedi, D.P.Dogra, M.Al-Mualla, L.Mihaylova, “Autonomous detection and tracking Autonomous Detection and Tracking under illumination changes, occlusions and moving Camera.”, Elsevier Journal of Signal Processing. Vol. 117, pp. 343–354, Dec. 2015.
  • D.P.Dogra, A.Ahmed, H.Bhaskar, “Smart video summarization using mealy machine-based trajectory modelling for surveillance applications.”, Springer Journal of Multimedia Tools and Application, pp. 1-29, Apr. 2015.
  • T.Zhou, J.Yang, A.Loza, H.Bhaskar, M.Al-Mualla, “Crowd modeling framework using fast head detection and shape-aware matching.”, SPIE Journal of Electronic Imaging, Vol. 24, Number 2, Mar. 2015.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Computer Aided Diagnosis System for Early Lung Cancer Detection”, accepted to be published in Algorithms Journal of Medical Imaging, October, 2015.
  • Kamrad Khoshhal Roudposhti, Urbano Nunes, and Jorge Dias, "Probabilistic Social Behavior Analysis by Exploring Body Motion-based Patterns”, Transactions on Pattern Analysis and Machine Intelligence (PAMI) - [Accepted]
  • Shafiqul Islam, Peter X. Liu, Jorge Dias, Lakmal D. Seneviratne, "Adaptive Control for Robot Manipulators Using Multiple Parameter Models", International Journal of Control and Automation Systems, ISSN: 2005-4092 [In Press]
  • Juan C. García, Bruno Patrão, Luís Almeida, Javier Pérez, Paulo Menezes, Jorge Dias, Pedro J. Sanz - "Design and Evaluation of a Natural Interface for Remote Operation of Underwater Robots", Journal of Computer Graphics and Applications, JUNE 2015 [In Press]
  • Rebeca Marfil, Jorge Dias, Francisco Escolano, Recognition and action for scene understanding, Neurocomputing, Volume 161, 5 August 2015, Pages 1-2, DOI: 10.1016/j.neucom.2015.02.054

Conferences:

  • E.Salahat, H.Saleh, A.Sluzek, M.Al-Qutayri, B.Mohammed, M.El-Naggar, "A Novel MERS-CoV Biosurveillance System", Proc. IEEE Conf. on Consumer Electronics (ICCE'2015), Las Vegas.
  • A.Sluzek, Multi-distinctive MSER Features and Their Descriptors: A Low-Complexity Tool for Image Matching, ACIVS 2015 Conf. (LNCS 9386, pp 672-680), Oct. 2015, doi 10.1007/978-3-319-25903-1_58.
  • A.Sluzek, Visual Retrieval of Known Objects using Supplementary Depth Data, 13th Int. Conf. on Numerical Analysis & Applied Maths. ICNAAM 2015 (Workshop on Numerical and Symbolic Computation in Computer Vision), Sept. 2015 (in print).
  • A.Sluzek, Visual Detection of Objects by Mobile Agents using CBVIR Techniques of Low Complexity, Fed. Conf. on Comp. Science and Inf. Systems FedCSIS 2015 (1st Int. AIMaViG Workshop), Annals of Computer Science and Information Systems, vol. 5, pp 241-246, 2015, doi: 10.15439/2015F85.
  • T.Alkhidir, A.Sluzek, M.Yapici, Simple Method for Adaptive Filtering of Motion Artifacts in E-Textile Wearable ECG Sensors, 37th IEEE Cong. Engineering in Medicine and Biology EMBC’15, Milan, Aug. 2015.
  • E.Salahat, H.Saleh, A.Sluzek, B.Mohammed, M.Al-Qutayri, M.Elnaggar, Novel MSER-guided Street Extraction from Satellite Images, IEEE Int. Geoscience and Remote Sensing Symposium IGARSS’2015, Milan, July 2015.
  • E.Salahat, H.Saleh, M.S.Zitouni, A.S.Sluzek, B.Mohammad, M.Al-Qutayri, M.Elnaggar, A Robust Histogram-Based Image Segmentation ASIC Design for System-on-Chip using 65nm Technology, dx.doi.org/10.1109/ICCSPA.2015.7081298, Int. Conf. on Communications, Signal Processing and their Applications ICCSPA’15, Sharyah (UAE), 2015.
  • E.Salahat, H.Saleh, A.Sluzek, M.Al-Qutayri, B.Mohammed, M.Elnaggar, A Novel MERS-CoV Biosurveillance System, IEEE Int. Conf. on Consumer Electronics ICCE’15, Las Vegas, pp 320-323, 2015.
  • A.Sluzek, Contextual Descriptors Improving Credibility of Keypoint Matching: Harris-Affine, Hessian-Affine and SIFT feasibility study, 13th Int. Conf. on Control, Automation, Robotics and Vision ICARCV’2014, pp 117-122, Singapore, Dec. 2014, doi: 10.1109/ICARCV.2014.7064290.
  • A.Sluzek, Extended Keypoint Description and the Corresponding Improvements in Image Retrieval, LNCS vol. 9008, pp 698-709, (Selected Papers of ACCV 2014 Workshops, Singapore, Nov. 2014), doi: 10.1007/978-3-319-16628-5_50.
  • M.C. El-Rai, N Werghi, C Tortorici, H Al-Muhairi, HA Safar, “Landmark Detection from 3D Mesh Facial Models for Image-based”, IEEE Conf. Engineering in Medicine and Biology Society, Milan, Italy, 2015.
  • N. Werghi, C. Tortorici, S. Berretti, “Boosting 3D LBP-based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh”, IEEE Int. Conf. Image Processing, 2015, Quebec city, Canada, 2015.
  • N. Werghi, C. Tortorici, S. Berretti, A. Del Bimbo , Representing 3D Texture on Mesh Manifolds for Retrieval and Recognition Applications, IEEE Conf. Computer Vision and Pattern Recognition, pp. p. 2521-2530, Boston, USA, 2015
  • B.Al Delail, H.Bhaskar, J.Zemerly and M.Al-Mualla, “Illumination Invariant Robust Likelihood Estimator for Particle Filtering based Target Tracking.”, International Symposium on Visual Computing (ISVC), 2015.
  • M.S.Zitouni, J.Dias, M.Al-Mualla, H.Bhaskar, “Hierarchical Crowd Detection and Representation for Big Data Analytics in Visual Surveillance”, IEEE International Conference on Systems Man and Cybetnetics (SMC), 2015.
  • T.Zhao, H.Bhaskar, J.Yang, P.Shi, “Online learning of multi-feature weights for robust object tracking.”, International Conference on Image Processing, (ICIP), 2015.
  • A.Sikdar, S.K.Behera, D.P.Dogra and H.Bhaskar, “Contactless Vision-based Pulse Rate Detection of Infants under Neurological Examinations.”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2015.
  • E.Basaeed, H.Bhaskar, M.Al-Mualla, “CNN-based multi-band fused boundary detection for remotely sensed images.“, International Conference on Imaging for Crime Detection and Prevention(ICDP), 2015.
  • K.Al-Marashada, A.Dawood, T.Martin, M.Al-Mualla, H.Bhaskar, “An Optimised Selective Encryption for Video Confidentiality.“, International Conference on Image Analysis and Recognition (ICIAR), LNCS 9164, pp. 109-118, Mar. 2015.
  • H.Bhaskar, D.La Torre, M.Al-Mualla, “Posed Facial Expression Detection using Reflection Symmetry and Structural Similarity.”, International Conference on Image Analysis and Recognition (ICIAR), LNCS 9164, pp. 218-228, Mar. 2015.
  • D.P.Dogra, A.Ahmed, R.D.Reddy, K.Subramanyam, H.Bhaskar, “Scene 119) representation and anomalous activity detection using weighted region association graph.”, International Conference on Computer Vision Theory and Applications (VISAPP), Mar. 2015.
  • A.Ahmed, D.P.Dogra, H.Bhaskar, “Interest area localization using trajectory analysis in surveillance scenes.”, International Conference on Computer Vision Theory and Applications (VISAPP), Mar. 2015.
  • S. Makhmasi, F. Taher, Hussain Al-Ahmad and T. McGloughlin, "A Novel Multiple Watermarking Algorithm for Patient Identification and Integrity Control", proceeding of the 17th UKSIM-AMSS International Conference on Modelling and Simulation, pp. 310-315, Cambridge, UK, March. 25-27, 2015.
  • M. Darweesh, M. Al Zubaidi, A. Kunhu, H. Al-Ahmad and F. Taher, “Colorization of Gray Scale Natural Still Images by Using ANN to Predict the Low Frequency DCT Components of the RGB Channels”, proceeding of the IEEE International Conference on Information and Communication Technology Research, pp. 303-306, Abu Dhabi, UAE, May. 17-19, 2015.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Classification of Sputum Images for Early Lung Cancer Diagnosis”, proceeding of the 21IEEE International Conference on Systems, Signals and Image Processing (IWSSIP 2015) pp. 1-4, UK, London, Sept. 10-12, 2015.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Rule Based Classification of Sputum Images for Early Lung Cancer Detection”, accepted to be published in 22nd IEEE International Conference on Electronics, Circuits, and Systems (2015 ICECS), Cairo, Egypt, Dec. 06-09, 2015.
  • Lanillos, P., Ferreira, J.F., Dias, J.: Designing an artificial attention system for social robots. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
  • Lanillos, P., Ferreira, J.F., Dias, J.: Multisensory 3d saliency for artficial attention systems. In: 3rd Workshop on Recognition and Action for Scene Understanding (REACTS), 16th International Conference of Computer Analysis of Images and Patterns (CAIP) (2015)
  • Islam, S.; Faraz, M.; Ashour, R.K.; Dias, J.; Seneviratne, L.D., "Robust adaptive control of quadrotor unmanned aerial vehicle with uncertainty," in Robotics and Automation (ICRA), 2015 IEEE International Conference on , vol., no., pp.1704-1709, 26-30 May 2015 DOI: 10.1109/ICRA.2015.7139417
  • Islam, S.; Faraz, M.; Ashour, R.K.; Cai, G.; Dias, J.; Seneviratne, L., "Adaptive sliding mode control design for quadrotor unmanned aerial vehicle," in Unmanned Aircraft Systems (ICUAS), 2015 International Conference on , vol., no., pp.34-39, 9-12 June 2015 DOI: 10.1109/ICUAS.2015.7152272
  • Saeed, A.S.; Younes, A.B.; Islam, S.; Dias, J.; Seneviratne, L.; Guowei Cai, "A review on the platform design, dynamic modeling and control of hybrid UAVs," in Unmanned Aircraft Systems (ICUAS), 2015 International Conference on , vol., no., pp.806-815, 9-12 June 2015 DOI: 10.1109/ICUAS.2015.7152365
  • Islam, S.; Dias, J.; Seneviratne, L.D., "Adaptive tracking control for quadrotor unmanned flying vehicle," in Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME International Conference on , vol., no., pp.441-445, 8-11 July 2014 DOI: 10.1109/AIM.2014.6878117
  • A. Kunhu, F. Taher and H. Al-Ahmad, “A New Multi Watermarking Algorithm for Medical Images using DWT and Hash Functions”, accepted to be published in the 11th IEEE International Conference on Innovations in Information Technology (IIT’15), Dubai, UAE, Nov. 1-3, 2015.

Journals:

  • E.Farahzadeh, T.J.Cham, A.Sluzek, "Scene recognition by semantic visual words”, Signal, Image & Video Processing, Oct. 2014.
  • N. Werghi, N. Medimegh, S. Gazzah, “Watermarking of 3D Triangular Mesh Models using Ordered Ring Facets, Transactions on Systems, Signals & Devices, Issues on Communication & Signal Processing, vol. 9, No. 3
  • J. F. Ferreira and J. Dias - "Attentional Mechanisms for Socially Interactive Robots - A Survey". IEEE Transactions on Autonomous Mental Development, Volume 6, Issue 2, p. 110-125, 2014.DOI: 10.1109/TAMD.2014.2303072
  • G. Cai, J. Dias, L. Seneviratne - "A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends". Unmanned Systems, Vol. 2, No. 2 (2014) 1–26, World Scientific Publishing Company, 2014.
  • D. R. Faria, P. Trindade, J. Lobo, J. Dias - "Knowledge-based Reasoning from Human Grasp Demonstrations for Robot Grasp Synthesis". Robotics and Autonomous Systems, ISSN 0921-8890, 2014.DOI: 10.1016/j.robot.2014.02.003
  • G. Cai, H. Al Mehairi, H. Al-Hosani, J. Dias, L. Seneviratne - "Frequency-Domain Flight Dynamics Model Identification of MAVs - Miniature Quad-Rotor Aerial Vehicles". 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, USA, Sept. 14-18, 2014.
  • R. Martins, J. F. Ferreira, J. Dias - "Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces". 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, USA, Sept. 14-18, 2014. DOI: 10.1109/IROS.2014.6942711
  • L.Santos, E. Christodoulou, J.Dias "The role of people identification in a social robot" .International RoMan Workshop on Interactive Robots (IRAIP2014),Edinburgh,Scotland,UK, August 25-29, 2014.
  • P.Menezes, J.Quintas,J.Dias "The Role of Context Information in Human-Robot Interaction" .International RoMan Workshop on Interactive Robots (IRAIP2014),Edinburgh,Scotland,UK, August 25-29, 2014.
  • J.Dias, L.Santos, P. Trindade "Assistive Robots for Elderly People".International RoMan Workshop on Interactive Robots (IRAIP2014),Edinburgh,Scotland,UK, August 25-29, 2014.

Conferences:

  • A.Sluzek, R.Kozera, “Improving Performances of BoW-based Image Retrieval by Using Contextual Keypoint Descriptors”, Proc. Int. Conf. Machine Vision and Machine Learning MVML’2014, Prague.
  • A.Sluzek, "Extended Keypoint Description and the Corresponding Improvements in Image Retrieval", Proc. ACCV 2014, Singapore.
  • A.Sluzek, "Contextual Descriptors Improving Credibility of Keypoint Matching: Harris-Affine, Hessian-Affine and SIFT feasibility study", Proc. ICARCV 2014, Singapore.
  • Z. Qian, N.Werghi, et al , “Ensemble Learning for the Detection of Facial Dysmorphology”, Proc. IEEE Engineering in Medicine and Biology, Chicago, USA
  • N. Werghi, S. Berretti, A.D. Bimbo, “Computing Local Binary Patterns on Discrete Manifolds”, Proc. Int. Conf. Pattern Recognition, ICPR 2014, Stockholm , Sweden
  • S. Al Nuaimi, H. Al-Ahmad & M. Al-Mualla, Design and Analysis of 2D sub-optimum filters for sharpening interpolated satellite images, proceedings of the IEEE Mediterranean Electrotechnical Conference, Lebanon, April 2014, pp 488-492.
  • S. Al Nuaimi, H. Al-Ahmad & M. Al-Mualla, 2D sub-optimum filters for sharpening interpolated satellite images by optimizing the structural similarity index measure, Proceedings of the IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), UK, July 2014.
  • W. Alakk, A. Kunhu & H. Al-Ahmad, A new watermarking algorithm for scanned grey pdf files using DWT and hash function, Proceedings of the IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), UK, July 2014.
  • "micro-UAV Tracking for Surveillance and Exploration", H.Bhaskar, J.Dias, L.Seneviratne, M.Al-Mualla, International Symposium on Visual Computing (ISVC), 2014
  • A Low-Power 65-nm ASIC Design for Background Subtraction in System-on-Chip, M.S.Zitouni, H.Saleh, H.Bhaskar, E. Salahat, M.Ismail, International Conference on Innovations in Information Technology, 2014,
  • E.Farahzadeh, T.J.Cham, A.Sluzek, "Scene recognition by semantic visual words”, Signal, Image & Video Processing, Oct. 2014.
  • S. Berretti, N. Werghi, A.D. Bimbo P. Pala, “Selecting stable keypoints and local descriptors for person identification using 3D face scans”, The Visual Computer, Springer
  • N. Werghi, N. Medimegh, S. Gazzah, “Watermarking of 3D Triangular Mesh Models using Ordered Ring Facets, Transactions on Systems, Signals & Devices, Issues on Communication & Signal Processing, vol. 9, No. 3
  • E.Salahat, H.Saleh, A.Sluzek, M.Al-Qutayri, B.Mohammed, M.El-Naggar, "A Novel MERS-CoV Biosurveillance System", Proc. IEEE Conf. on Consumer Electronics (ICCE'2015), Las Vegas.
Book Chapters:
  • A.Sluzek, "Local Detection and Identification of Visual Data: Selected Techniques and Applications, LAP, Saarbrucken, 2013, ISBN 978-3-659-47133-9.

Journals:
  • A. Sluzek, “A Fast Scheme for Detecting, Localizing and Grouping Similarly Looking Faces in Random Images”, Int. Journal of Computer and Information Technology, vol. 2(4).
  • Automatic Sputum Color Image Segmentation for Lung Cancer Diagnosis", KSII Transactions on Internet and Information System, F. Taher, Naoufel Werghi, Hussain Al-Ahmad.
  • Extraction and Segmentation of sputum cells for Lung cancer Early Diagnosis, Algorithms Journal of Machine Learning for Medical Imaging, F . Taher, N. Werghi, H. Al-Ahmad and C. Donner
  • S. Berretti, N. Werghi, A.D. Bimbo P. Pala, Matching 3D Face Scans using Interest Points and Local Histogram Descriptors”, Computers & Graphics, Elsevier.
  • F Taher, N Werghi, H. Al-Ahmad, C Donner, “Extraction and Segmentation of Sputum Cells for Lung Cancer Early Diagnosis”, Algorithms 6 (3)
  • F. Taher, N. Werghi& H. Al Ahmad, Automatic sputum color image segmentation for lung cancer diagnosis, KSII Transaction on Internet and Information System (TIIS), Vol. 7, No.1, Jan. 2013, pp 68-80.
  • K. Ahmed, H. Al-Ahmad & P. Gaydecki, Robust grey-scale image watermarking using two dimensional Walsh coding, Information Engineering, Vol. 2, June 2013, pp 15-21.
  • A. AbouAlaml, R.A. Abd-Alhameed, K. Al-Ansari, H. Al-Ahmad, C.H. See, S.M.R Jones & J.M. Noras, Statistical Analysis of refractivity gradient and b0 parameter in the Gulf region, IEEE Trans on Antenna and Propagation, vol. 61, no. 12, December 2013, pp 6250-6254.
  • "Articulated human body parts detection based on cluster background subtraction and foreground matching.", Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, Neurocomputing 100: 58-73 (2013)

Conferences:

  • A.Sluzek, “Inverted Indexing in Image Fragment Retrieval using Huge Keypoint-Based Vocabularies”, Proc. 11th Int. Workshop on Content-based Multimedia Indexing (CBMI), pp 167-172, Veszprem.
  • A.Sluzek, “Affine-invariant Description of Keypoint Bundles for Detecting Partial Near-duplicates in Random Images”, Proc. IEEE Int. Conf. on Electronics, Circuits, and Systems ICECS 2013,Abu Dhabi.
  • E.Salahat, H.Saleh, M.Baker, A.Sluzek, M.Al-Qutayri, M.Ismail, “Automated Real-Time Video Surveillance Algorithms for SoC Implementation: A Survey”,Proc. IEEE Int. Conf. on Electronics, Circuits, and Systems ICECS 2013, Abu Dhabi.
  • A. Sluzek, “A Novel Approach to Retrieval of Similar Patterns in Biological Images”, LNCS vol.8034 (Proc. ISVC 2013), Rhetymnion.
  • A.Sluzek, “Partial Near-duplicate Detection in Random Images by a Combination of Detectors”, LNCS vol.8192 (Proc. ACIVS 2013), Poznan.
  • N. Werghi, S. Berretti, A.D. Bimbo P. Pala, “The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds”, Proc. ICCV 2013 workshop on 3D Representation and Recognition (3dRR-13)
  • S Berretti, N Werghi, A Del Bimbo, P Pala, “Geometric histograms of 3D keypoints for face identification with missing parts”, Eurographics 2013 Workshop on 3D Object Retrieval.
  • N. Werghi, S. Berretti, A.D. Bimbo P. Pala, “Local Descriptors matching or 3D Face Recognition”, IEEE Int, Conference on Image Processing , ICIP 2013, Melbourne, Australia.
  • T. Jassim, R. Abd-Alhameed & H. Al Ahmad, A new robust and fragile watermarking scheme for images captured by mobile phone cameras, Proceedings of the International Conference on Communication, Signal Processing and their Applications (ICCSPA), UAE, Feb. 2013, pp 1-5.
  • A. Kunhu & H. Al-Ahmad, Multi watermarking algorithm based on DCT and hash functions for color satellite images, Proceedings of the Innovation in IT (IIT) Conference, UAE, March 2013.
  • T. Jassim, R. Abd-Alhameed & H. Al Ahmad, A new robust and fragile watermarking scheme for colour images captured by mobile phone cameras, Proceedings of the International Conference on Modelling and Simulation, UK, April 2013, pp 465-469.
  • F. Taher, N. Werghi, H. Al-Ahmad, Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm, Proceedings of the IEEE AFRICON Conference, Mauritius, Sept. 2013, pp 1-6.
  • A. Kunhu & H. Al-Ahmad, A new multi watermarking algorithm based on DWT and hash functions for color satellite images, Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS), UAE 2013, pp 429-432.
  • A. Vivekanand, N. Werghi, H. Al-Ahmad, Automated image assessment of posterior capsule opafication using Holder exponents, Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS), UAE 2013, pp 538-541.
  • F. Taher, N. Werghi, H. Al-Ahmad, Comparison of Hopefield neural network and mean shift algorithm in segmenting sputum color images, Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS), UAE 2013, pp 649-652.
  • “Variational Articulated Object Tracking using Particle Filtering Framework”, H.Bhaskar, K.Dwivedi and A.Loza, International Conference on Digital Image Processing (ICDIP), 2013
  • “Fast Algorithm for Restoration of Foggy Images”, A.Loza, H.Bhaskar, M.Al-Mualla, IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2013
  • E. Basaeed, H. Bhaskar, and M. Al-Mualla, “Comparative Analysis of Pan-sharpening Techniques on DubaiSat-1 images,” in The 16th International Conference on Information Fusion, Istanbul, Turkey, 9-12 Jul. 2013, pp. 227–234.
  • E. Basaeed, H. Bhaskar, and M. Al-Mualla, “A spectral water index based on visual bands,” in Image and Signal Processing for Remote Sensing XIX, Dresden, Germany, 23-26 Sep. 2013, vol. 8892, p. 889219.
  • “Spontaneous vs. Posed Facial Expression Analysis Using Deformable Feature Models and Aggregated Classifiers.”, H.Bhaskar and M.Al-Mualla, FUSION 2013
  • Comparison of Hopfield Neural Network and Mean Shift algorithm in Segmenting Sputum Color Images for Lung Cancer Diagnosis, 20th IEEE International Conference on Electronics, Circuits, 1. F. Taher, N. Werghi and H. Al-Ahmad.
  • Early Lung Cancer Detection by using a Histogram Technique Based on Bayesian Classification”, proceeding of the BCS International IT Conference Towards 21st Century Innovations, F. Taher, N. Werghi and H. Al-Ahmad.
  • Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm,” proceeding of the IEEE AFRICON, F. Taher, N. Werghi and H. Al-Ahmad.
Book Chapters:
  • A.Sluzek, M.Paradowski, “Towards Vision-Based Understanding of Unknown Environments”, Advances in Intelligent and Soft Computing, Vol.98/2012, pp 387-402, Springer Verlag, Berlin-Heidelberg.
  • “The Spiral Facets: A compact 3D facial mesh surface representation and its applications”, N. Werghi, H.Bhaskar, M.K.Naqbi, Y.Meguebli, H.Boukadia, Computer Vision, Imaging and Computer Graphics, Theory and Applications, Springer Lecture Notes, 2012

Journals:

  • F. Taher, N. Werghi, H. Al-Ahmad & Rachid Sammaouda, Lung cancer detection by using artificial neural network and fuzzy clustering methods, American Journal of Biomedical Engineering, vol. 2, no.3, June 2012, pp 136-142.
  • A. Sluzek, “A framework for junction detection using local Hough transforms”, Int. Journal of Computer and Information Technology , vol. 1(2).
  • A.Sluzek, M.Paradowski, “Visual Similarity Issues in Face Recognition”, International Journal of Biometrics, vol 4(1),
  • Lung Cancer Detection by Using Artificial Neural Network and Fuzzy Clustering Methods”, American Journal of Biomedical Engineering, F. Taher, N. Werghi, H. Al-Ahmad and R. Sammouda
  • N. Werghi, M. Rahayem, J. Kjellander. “An ordered topological representation of 3D triangular mesh facial surface: Concept and applications”, EURASIP Journal on Advances in Signal Processing, pp.144, 2012.
  • Fatma Taher, Naoufel Werghi, Hussain Al-Ahmad and Rachid Sammouda, “Lung Cancer Detection by Using Artificial Neural Network and Fuzzy Clustering Methods”, American Journal of Biomedical Engineering, Vol. 2, No. 3, June 2012.
  • M Rahayem, N Werghi, J Kjellander, “Best ellipse and cylinder parameters estimation from laser profile scan sections”, Optics and Lasers in Engineering , 50 (9), 1242-1259, 2012
  • K. Ahmed, H. Al-Ahmad & P. Gaydecki, 1-D Walsh coded watermarking techniques for colour images using the Y channel, American Journal of Signal Processing, Vol.2 No.5, Dec. 2012, pp 139-144.

Conferences

  • A.Sluzek, M.Paradowski, “Towards Vision-Based Understanding of Unknown Environments”, Advances in Intelligent and Soft Computing, Vol.98/2012, pp 387-402, Springer Verlag, Berlin-Heidelberg.
  • A.Sluzek, M.Paradowski, “Is Visual Similarity Sufficient for Semantic Object Recognition?”, 7th Int. Symp. Advances in Artificial Intelligence and Applications (AAIA'12), Wroclaw.
  • A. Sluzek, M. Paradowski, D. Yang, “Reinforcement of Keypoint Matching by Co-segmentation in Object Retrieval: Face Recognition Case Study”, LNCS vol.7667, (Proc. ICONIP 2012), Doha.
  • A. Sluzek, “Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches”, LNCS vol.7583, (Proc. ECCV'2012), Florence.
  • A. Sluzek, M. Paradowski, “Detection of Near-duplicate Patches in Random Images using Keypoint-based Features”, LNCS vol.7517, (Proc. ACIVS 2012), Brno.
  • N.Werghi, C.Donner, F.Taher, H.AlAhamad, “Detection and segmentation of sputum cell for early lung cancer detection” IEEE International Conference on Image Processing, Orlando, USA 2012.
  • F. Taher, N. Werghi & H. Al-Ahmad, Extraction of sputum cells using thresholding techniques for lung cancer detection, Proceedings of the 8th IEEE International Conference on Innovation in Information Technology (IIT), UAE, March 2012, pp 36-41.
  • J. Jeedella, H. Al Ahmad & O. Al Shehhi, Watermarking mobile phone colour images with Reed Solomon error correction code, Proceedings of the 16th IEEE Mediterranean Electrotechnical Conference, Tunisia, March 2012, pp 375-378.
  • C. Donner, N. Werghi, F. Taher & H. Al-Ahmad, Cell extraction from sputum images for early lung cancer detection, Proceedings of the 16th IEEE Mediterranean Electrotechnical Conference, Tunisia, March 2012, pp 485-488.
  • K. Ahmed, H. Al-Ahmad & P. Gaydecki, A new algorithm for watermarking colour images using the green channel, Proceedings of the 4th International Conference on Networked Digital Technologies (NDT), 2012, Part II pp 302-311.
  • C.H. See, R.A. Abd-Alhameed, S.W.J. Chung, D. Zhou, H. Al-Ahmad, and P.S. Excell, The design of a resistively loaded bowtie antenna for applications in breast cancer detection systems, IEEE Trans on Antenna and Propagation, vol. 60, no. 5, May 2012, pp 2526-2530.
  • T. Jassim, H. Al-Ahmad, R.A. Abd-Alhameed & A. Al-Gindy, A block based wavelet algorithm for watermarking still colour images captured by mobile phone cameras, Proceedings of the 8th International Conference on Information Science and Digital Content Technology, Korea, June 2012, pp 287-292.
  • K. Ahmed, H. Al-Ahmad & P. Gaydecki, Watermarking of images captured by mobile phone cameras using 2-D Walsh coding in the Y-channel, Proceedings of the 8th International Conference on Information Science and Digital Content Technology, Korea, June 2012, pp 227-230.
  • F. Taher, N. Werghi & H. Al-Ahmad, A thresholding approach for detection of sputum cell for lung cancer early diagnosis, Proceedings of the IET Image Processing Conference, UK, July 2012, pp 1-6
  • N. Werghi, C. Donner, F. Taher & H. Al-Ahmad, Segmentation of sputum cell image for early lung cancer detection, proceedings of the IET Image Processing Conference, UK, July 2012, pp 1-6
  • K. Ahmed, H. Al-Ahmad & P. Gaydecki, Robust image watermarking using two dimensional Walsh coding, Proceedings of the IET Image Processing Conference, UK, July 2012, pp 1-5.
  • F. Taher, N. Werghi & H. Al-Ahmad, Sputum image detection and extraction for lung cancer early diagnosis, accepted in the 11th International Conference on Information Science, Signal Processing and their Application, Canada, July 2012, pp 864-869.
  • “Integrated Human Target Detection, Identification and Tracking for Surveillance Applications.”, H.Bhaskar, IEEE Intelligent Systems (IS) Conference, Sofia, Bulgaria, 6-8 Sep. 2012. [Best Paper Award]
  • “Beyond Pan-sharpening: Pixel-level Fusion in Remote Sensing Applications,” E.Basaeed, H.Bhaskar, and M.Al-Mualla, In the 8th International Conference on Innovations in Information Technology (Innovations’12), Al-Ain, UAE, 18-20 Mar. 2012.
  • Bayesian Classification and Artificial Neural Network Methods for Lung Cancer Early Diagnosis”, proceeding of the 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), F. Taher, N. Werghi and H. Al-Ahmad.
  • Segmentation of Sputum Cell Image for Early Lung Cancer Detection”, proceeding of the IET Conference on Image Processing (IPR 2012), N. Werghi, F. Taher and H. Al-Ahmad.
  • Cell Extraction from Sputum Images for Early lung Cancer Detection”, proceeding of the 16th IEEE Mediterranean Electrotechnical Conference, C. Donner, N. Werghi, F. Taher and H. Al-Ahmad
  • Extraction of Sputum Cells using Thresholding Techniques for Lung Cancer Detection”, proceeding of the 8th International Conference on innovation in Information Technology, F. Taher, N. Werghi and H. Al-Ahmad.
Book Chapters:
  • 1) A.Sluzek, M.Paradowski, “Improved Credibility of Keypoint Matching by Using Co-affine Pairs of Ellipses”, Advances in Intelligent and Soft Computing, 2011, Vol.102/2011), pp 67-75,Springer Verlag, Berlin-Heidelberg.

Journals:

  • Y.H. Chua, C.S. Tan, Zh.H. Lee, T.Y. Chai, G. Seet, A. Sluzek “Using MTF with fixed-zoning method for automated gated imaging system in turbid medium”, Indian Journal of Geo-marine Sciences, vol 40(2).
  • N. Werghi, “Extracting Ordered Patterns from a Triangular Mesh Surface: Approach and Potential Applications”, IEEE Potentials, Vol. 30, No.6, pp.34-43, November 2011.
  • N.Werghi, “Assessing the Regularity of 3D Triangular Mesh Tessellation Using a Topological Structured Pattern”, Computer-Aided Design and Applications, Vol. 8, No.5, pp.633-648, 2011.
  • F. Kamoun, N. Werghi, M. Al Blushi, “On the Appropriateness of Incident Management Systems in Developing Countries: A Case from the UAE”, Journal of Technology Management & Innovation, Vol. 5(4), pp.57-69, 2011.
  • “Combined Data Association and Evolving Population Particle Filter for Multiple Articulated Target Tracking”, H.Bhaskar, L.Mihaylova, EURASIP Journal on Image and Video Processing Volume 2011 (2011), Article ID 642532, 12 pages doi:10.1155/2011/642532, Jan. 2011.

Conferences:

  • A. Sluzek, M. Paradowski, “Assessment of Visibility Quality in Adverse Weather and Illumination Conditions”, LNCS vol.6835, (Proc. DAGM 2011), Frankfurt.
  • M.Paradowski, A.Sluzek, “Automatic Image Annotation by Image Fragment Matching”, 6th Int. Symp. Advances in Artificial Intelligence and Applications (AAIA'11), Szczecin.
  • Z.H.Lee, Y.H.Chua, C.S.Tan, X.Wang, C.W.Teoh, G.Seet, A.Sluzek, “Post-processing of Gated Images By Using Seed Growing Fusion Approach”, Proc. 2011 IEEE Conf. on Sustainable Utilization and Development in Engineering and Technology (2011 IEEE STUDENT), Cyberjaya
  • N.Werghi, M. Naqbi, “A Novel Surface Pattern for 3D Facial Surface Encoding and Alignment”, IEEE Conference on Systems, Man and Cybernetics (SMC2011), Anchorage, Alaska, USA, 2011.
  • N. Werghi, H.Bhaskar, Y.Meguebli, H.Boukadia, “The Spiral Facets: A Unified Framework for the Analysis and Description of 3D Facial Mesh Surfaces”, Proc. Int. Conference Computer Vision Theory and Applications (VISAPP) 2011, pp. 30-39, Algrave Portugal, 2011
  • “Coastline Detection Using Coupled Variational Level-Set Formulation”, H.Bhaskar, 4th International IET Conference on Imaging for Crime Detection and Prevention (ICDP), 2011
  • “Virtual Mouse - Human Eye Controlled Assistive Mouse Movements”, S.Alsharif, H. Bhaskar and Y. Iraqi, Undergraduate Conference on Applied Computing (URC), Dubai, 2011. [Best Paper Award]
  • “Rectangular Empty Parking Space Detection Using SIFT Based Classification”, H.Bhaskar, N.Werghi, S. Al Mansoori, VISAPP 2011.
  • “Comparing Hough and Radon Transform based Parallelogram Detection”, H. Bhaskar, N.Werghi, IEEE GCC Conference, Dubai, 2011
  • “Extraction and Alignment of Facial Regions for 3D Facial Image-Based Recognition”, N.Werghi, H.Bhaskar, A.Malek, IEEE GCC Conference, Dubai, 2011
  • Lung Cancer Detection by using Artificial Neural Network and Fuzzy Clustering Methods , Proceeding of the 2011 IEEE GCC Conference and Exhibitions, F. Taher and R. Sammouda
  • Lung Cancer Detection based on the Analysis of Sputum Color Images, Proceeding in the International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'10:WORLDCOMP 2010), F. Taher and R. Sammouda

VSAP maintains a state-of-the-art laboratory with the lastest equipment to foster cutting-edge research. The Center is divided into three studio environments. 

Intelligent Surveillance Studio

 A brief list of the equipment used in the surveillance studio:

  • Cisco IP Cameras 
  • USB 3 FLEA Cameras
  • Rasberry Pi Starter Kit with Rasberry PI Camera and Rasberry Pi Infrared Camera
  • Google Glass
  • Panono Ball Camera

Darkroom Studio 

A brief list of the equipment used in the darkroom studio:

  • Canon 1D Camera Base with Canon EF 100-400mm f/4.5-5.6L IS USM (Telephoto Zoom) 
  • Canon EF 16-35mm f/2.8L II USM (Ultra Wide Zoom)
  • Indoor Flash Lighting Equipment Kit
  • Lytro Illum Camera 
  • Sekonic Light Meter

Biometrics Studio

A brief list of the equipment used in the biometrics studio:

  • Bumblebee XB5
  • Kinect Sensor
  • Lumidigm V-Series V302 Multispectral Fingerprint Scanners
  • Fujitsu PalmSecure Palm Vein Scanner
  • Gazepoint
  • 3D Face Scanner

 

  • Automatic polyp detection in endoscopy videos - Al Jalila Foundations, 2016 (AED 152,571) 
  • Enhanced imaging techniques for identification of calcification in Abdominal Aortal Aneurysm - Al Jalila Foundations, 2016 (AED 270,541) 
  • Computer-Aided Diagnosis System for Early and AutomatedDetection of Infantile Dysmorphic Syndromes in the UAE - Khalifa University, 2015 (AED 1,674,000) 
  • Sensor fusion-based big data analytics for intelligent healthcare surveillance system - KU-KAIST, 2015 (AED 354,245) 
  • Compliant Exoskeleton: Shared Autonomous Mobile Robot Manipulation Using a Compliant Exoskeleton - KUIRF L2, 2014 (AED 2,210,000)
  • Computer-Aided Diagnosis System for Early Detection of Cervix Cancer from Pap Smear images - Terry Fox Foundation, 2014 (AED 46,000) 
  • People identification from partially hidden 3D facial images - National Research Foundation, 2014 (AED 160,000) 
  • Detecting Down Syndrome in Infants Using Facial 2D and 3D Images - Khalifa University, 2014 (AED 190,000) 
  • Wireless Baseband: SoC for Biomedical and Surveillance Applications - SRC, 2013 (AED 1,650,000) 
  • Crowd Analysis in Surveillance Environments - KUIRF L1, 2013 (AED 199,250) 
  • Intelligent Multi-Sensor Surveillance System for Elderly Care - KU-KAIST, 2013 (AED 250,000) 
  • A Grading System for Assessing Posterior Capsule Opacification using Medical Images - National Research Foundation, 2012 (AED 190,000) 
  • Autonomous Human Target Identification and Tracking Using Multiple Cameras in Crowded Environments - KUIRF L1, 2012 (AED 176,354) 
  • ICASSP 2016: The research team within VSAP has had two papers accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing.
  • Al-Jalila Foundation Grants: VSAP members have successfully acquired two one-year grants from Al-Jalila Foundations to fund projects focusing on medical imaging for 2016-17. 

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Industrial Collaborators: 

C4 Advanced Solutions EIASTEmirates Advanced Inverstments             

Academic Collaborator: 

Postdoctoral Fellow

The Visual Signal Analysis and Processing (VSAP) research center invites applications for a postdoctoral research fellow to join its highly dynamic research team. An ideal candidate will have a Ph.D. in computer science, in any field within computer vision, image processing and visual signal processing. The position is to be filled as soon as possible.

For further details and to apply online click here

Student Internships

The Visual Signal Analysis and Processing (VSAP) research center invites applications from international students who wish to undertake a research internship for upto 3 months. Subject to the availability of project-specific funding, VSAP will be willing to consider students at both the undergraduate and graduate levels for internships. To learn more about current vacancies, submit an expression of research interest along with a complete CV to .