Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection

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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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DTI Management of Information LINK Project: ICONS I ncident re CO gnitio N for surveillance and S ecurity funded by DTI, EPSRC, Home Office (March 2000 - March 2003). Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection British Telecom - PowerPoint PPT Presentation

Transcript of Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection

Page 1: Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection

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

Page 2: Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection

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

Page 3: Queen Mary Westfield College, University of London Safehouse Technologies Heritage Protection

• 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).