research themes - khalifa university 2.pdf · the vsap research center aims to provide a focus for...
TRANSCRIPT
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