dti management of information link project: icons incident recognition for surveillance and security...
TRANSCRIPT
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DTI Management of Information LINK Project:
ICONS
Incident reCOgnitioN for surveillance and Security
funded by DTI, EPSRC, Home Office
(March 2000 - March 2003)
Queen Mary Westfield College, University of London
Safehouse Technologies
Heritage Protection
British Telecom
British Airport Authority
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The Central Research Issue (Pre-competitive):
Recognition, Searching and Categorising
Spatio-Temporal Events of “Significance”
(Smart Content) in Video Data (on- or off-line)
• “Zero Motion” Detection
– Detecting and searching pre-defined significant events
(spatial and temporal) in a known scene
• “Abnormal Behaviour” Recognition
– Recognition and indexing human activities and temporal
signatures in space and over time
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• In Real-Time with limited resources (on PC)
• From all different views• Varying lighting, distance and racial colours
• Under partial and total occlusion
• Multiple subjects of interest
• Fault tolerant to missing frames
Robust Detection and Tracking of Multiple Subjects and their Faces in Real-Time
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Trackinghuman presence
Understandingscene layout
Behaviour Profiling and Categorisation
Modelling patterns of activities
Learning behaviour patterns
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Behaviour Recognition and Search
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Automatic Recognition of Human Gestures for Visually Mediated Interaction
and Intelligent Human-Machine Interface
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Other Currently Funded Research Projects
• Gesture Recognition in Visually Mediated Interaction (EPSRC)– Gong, Sherrah
• Advanced Incident Monitoring System (Industry)– Gong, Parkinson, Verity, Ong
• Learning Human Models from Live Video (British Council)– Ong, Gong
• Motion-based Recognition of Face and Behaviour (HEFCE)– Psarrou, Gong, Romdhani, Walter
• Tracking and Segmentation in Virtual Studios (BBC & EPSRC)– Raja, Gong, Paker
• Multi-Camera Data Fusion (Overseas)– Chang, Gong
• Visual Learning in Dynamic Scenes (University of London)– Ng, Lee, Gong
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Key References• S. Gong, S. McKenna, A. Psarrou. Dynamic Vision: From Images to Face
Recognition. World Scientific Publishing & Imperial College Press, March 2000.
• S. Gong, A. Psarrou, S. Romdhani. Multi-view Face Appearance Models. Invited article (1999 British Machine Vision Conference Best Scientific Paper Award), Image and Vision Computing, July 2000.
• S. Gong, A. Psarrou and M. Walter. Learning Stochastic Models of Human Behaviour. Invited article, Image and Vision Computing, July 2000 (also in ICCV’99, September 1999, Corfu, Greece).
• E. Ong, S. Gong. Modelling Nonlinear Dynamics of View Transformation: An Application to Tracking 3D Human Skeleton Models in Multiple Views. Invited article, Computer Vision and Image Understanding, October 2000 (also in IEEE Int. Workshop on Modelling People, 1999).
• S. Gong. Understanding head pose and body gestures for visually mediated interaction. Invited talk in IEE Colloquium on Computer Vision for Virtual Human Modelling. 1998, London (also in ECCV’98, Freiburg, Germany).
• S. McKenna, S. Gong. Recognising moving faces. In Wechsler, Philips and Bruce (Eds.) Face Recognition: From Theory to Applications, NATO ASI Series F, Springer-Verlag, July 1998.
• H. Buxton, S. Gong. Visual surveillance in a dynamic and uncertain world. Artificial Intelligence, Invited special volume on computer vision, Vol. 78, October 1995 (also in ICCV’95, June 1995, MIT, USA).