The VSAP research center 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.”

VSAPis a joint research initiative between Khalifa University, UAE and the University ofBristol,U.K.

Visual SignalAnalysis and Processing

VISION

R To reach national and international prominence as an academic source of high quality

scientific and technological research and development in practice and service.

R To support and guide the university in educating the next generation of leaders, innovators

and research professionals.

R To enhance the reputation of the center and advance research growth through strategic

academic partnerships and industrial / governmental outreach.

R To build research capacity through individuals, collaborators, and network to meet current and

future evolving needs of the center

R To establish and maintain a sustainable, diverse and productive research center with state-

of-the art laboratories and infrastructure to support cutting edge research and academic

integration.

R To showcase and create awareness of the center to promote its value to the community and

society

OBJECTIVES

PEOPLE - FACULTY

Dr. Mohammed Al-Mualla Dr. Ali Dawood Dr. Hassan Al-Muhairi

Prof. Hussain Al-Ahmad Prof. Jorge Dias Dr. Naoufel Werghi

Dr. Andrzej Sluzek Dr. Harish Bhaskar Dr. Fatma Taher

PEOPLE - VISITING

R Prof. David R Bull

R Dr. Paul Hill

R Mr. Essa Basaeed

R Dr. Husameldin Mukhtar

R Mr. Khalfan Al-Marashada

R Ms. Sohailah Alyammahi

R Ms. Yasmeen Saleh

R Mr. Mohammed Sami Zitouni

R Mr. Claudio Tortorici

R Mr.Alaa El Khatib

R Ms. Nour Aburaed

R Mr. Buti Al Delail

RESEARCHERS / STUDENTS

Intelligent Surveillance Studio

R 20 different camera types

R 2D/RGBD/3D/Panoramic Image Acquisition

R 15-1380fps Video capturing

R 3MP – 18.1MP imaging

R Low-level image enhancement

R Contrast enhancement

R Perceptual image processing

R Target detection, tracking,

re-identification and motion

analysis

R Multi-camera modeling,

calibration, tracking.

R Moving camera target detection

and tracking

R Visual search and classification

CAPABILITIES

Surveillance and Machine Vision

Expertise

R Illumination invariant gesture

recognition

R Sensor fusion-based big

data analytics for healthcare

surveillance system

R Crowd behavior and emotion

analysis for situation awareness

R Target detection in remote

sensing using image fusion

R Efficient image and video

denoising

Current Projects

R CIntelligent multi-sensor surveillance

system for elderly care

R Efficient algorithms and architectures

for feature point detection

R Target detection, tracking and

Identification using multiple cameras

(static/moving)

R Autonomous human target

identification and tracking using

multiple cameras in crowded

environments

R Low light image enhancement – fog/

haze removal

Completed Projects

RESEARCH CENTER INFRASTRUCTURE

General Purpose Studio

Biometrics Studio

R Lytro Illum

R Bumblebee XB5

R FLEA cameras

R FLIR Thermal Camera

R Lumidigm V-Series V302 Multispectral Fingerprint Scanner

R Fujitsu PalmSecure Palm Vein Scanner

SPECTRUM

RESEARCH THEMES

R Scalable video coding, Transcoding.

R Link adaptation. R Wireless video communication efficiency, complexity and resilience

R Digital watermarking.

Video Communications and Image Security

R Video security assurance

framework based on an efficient

joint encryption compression

approach

R Digital watermarking for medical

images

R Digital image

watermarking for satellite

images

R Link adaptation for wireless

video communication

systems

R 2D/3D face analysis

R Face expression analysis

R Macro-scale / Micro-scale

object motion capture,

detection, tracking and

analysis

R Segmentation and detection

R 2D, 3D modeling and

reconstruction

R Visualization and assessment

of medical digital images

Biometrics and Bio-Imaging

R Capsule localization using multiple

images in capsule endoscopy

R People identification from partially

hidden 3D facial images

R Computer-aided diagnosis system

for early and automated detection

of infantile dysmorphic syndrome

in the UAE

R Detecting Down Syndrome in

infants using 2D and 3D facial

images

R Volumetric detection and tracking

of cell particles

R A grading system for

assessing posterior capsule

opacifiaction using medical

images Detection and

segmentation of sputum cell

for early lung cancer detection

R Encoding and alignment of 3D

facial images

R Computer-aided diagnosis

system for early detection of

cervix cancer from pap smear

images

Expertise Current Projects Completed Projects Expertise Current Projects Completed Projects

HIGHLIGHTS

R Diverse expertise within various imaging

R International research collaboration

R Multidisciplinary research

R Joint projects with KURI, BME, ISRG, KSRC

R Industrial engagement

R Research supported by industrial partners such as EAI, EIAST, etc.

R State-of-the-art facilities and infrastructure

COLLABORATORS

INTERNAL

EXTERNAL

FUTURE PROJECT AREAS

R Gesture recognition and articulated object tracking

R Biometrics and interaction with robotic devices

R 3D feature-based search and retrieval

R Efficient algorithms and architectures for feature-based image processing

R Collaborative visual environments

R Perceptual image enhancement

R Low light and low contrast imaging

R Airborne video processing

R Underwater visual processing and communications

R Vision based robotic control

R Visual inspection of advanced manufacturing processes

R Medical image enhancement and classification

RESEARCH FUNDING AND GRANTS

KU Internal Research Fund (KUIRF) Terry Fox Foundations National Reseach Foundations (NRF)

Al Jalila Foundations U-KAIST Semiconductor Research Corporation

SELECTED PUBLICATIONS

R 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.

R 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.

R 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.

R 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, Milan, Italy.

R 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, Quebec city, Canada.

R 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.

R 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.

R 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.

R 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 (CVPR), pp. p. 2521-2530,

Boston, USA, 2015

R 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

R 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.

R 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

Conferences

R 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)

R 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.

R 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.

R Rebeca Marfil, Jorge Dias, Francisco Escolano, Recognition and action for scene understanding,

Neurocomputing, Volume 161, 5 August 2015, Pages 1-2

R N. Werghi, C. Tortorici, S. Berretti, A. Del Bimbo, “Local Binary Patterns on Triangular Meshes: Concept and

Applications”, Computer Vision and Image Understanding, , 2015

Journals

R P.-Y.Kong, A.Sluzek, Average Packet Delay Analysis for a Mobile User in a Two-Tier Heterogeneous Cellular

Network, IEEE Systems Journal, published online 12 June 2015.

R 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.

R 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.

R H.Bhaskar, L.Mihaylova, S.Maskell, “Articulated human body parts detection based on cluster background

subtraction and foreground matching.”, Elsevier Journal of Neurocomputing, Vol. 100, pp. 58 - 73, Jan. 2013.

R 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.

R 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.

R H.Bhaskar, Y.Iraqi, S.Al-Sharif, “Human eye controlled computer mouse interface.”, US Patent Pending,

US20130169530 A1, Filing Date: Dec. 2011, Issue Date: Jul. 2015.

Patent

DISSEMINATION STATISTICS

R IEEE Transactions in Image Processing

R IEEE Transactions in Circuits Systems and Video

Technology

R Elsevier Neurocomputing

R IEEE Transaction in Pattern Analysis and Machine

Intelligence (add it as the first)

R Elsevier Digital Signal Processing

Published Journals R IEEE Conference on Image Processing (ICIP)

R IEEE Conference on Intelligent Systems (IS)

R IEEE Systems Man and Cybernetics Conference

R European Conference on Computer Vision (ECCV)

R Asian Conference on Computer Vision (ACCV)

R IEEE Engineering in Medicine and Biology Society

Conference (EMBC)

Published Conferences

VSAP Publication Record