Shaogang Gong

Professor of Visual Computation
Department of Computer Science

Queen Mary, University of London

London E1 4NS, United Kingdom
Tel: +44 (0)20-7882 5249

Fax: +44 (0)20-8980 6533

Email: sgg@dcs.qmul.ac.uk

 

I am Professor of Visual Computation at Queen Mary, University of London. I established the Queen Mary Vision Laboratory in 1993 and have enjoyed immensely working with research students and postdoctoral researchers. My research interest resides in Human Identity and Behaviour Recognition, Visually Mediated Interaction, Communication and Surveillance. Brief bio and publications.

PROJECTS

SAMURAI (Suspicious and Abnormal Behaviour Monitoring Using a Network of Cameras for Situation Awareness Enhancement)

BEWARE (Behaviour based Enhancement of Wide-Area Situational Awareness in a Distributed Network of CCTV Cameras)

VISTA (Video Analytics for Real-Time Human Profiling)

INSIGHT (Video Analysis and Selective Zooming using Semantic Models of Human Presence and Activity)

Fusion of Multimodal Biometrics for Non-Intrusive Person Identification in CCTV

ViTAB (Video-based Threat Assessment and Biometrics) Network

SERVE (Surveillance, Evaluation, Research, Validation, and Exploitation) Network

ICONS (Incident Recognition for Surveillance and Security)

ISCANIT (Recognising Intention in Real-Time for Visually Mediated Interaction)

Integrated Machine Vision Initiative

PAMONOP (Parallel Modelling of Neural Operators for Pattern Recognition)

MONOGRAPHS

S. Gong, S. McKenna and A. Psarrou. Dynamic Vision: From Images to Face Recognition, 364 pages, Imperial College Press, 2000.

EDITED BOOKS & SPECIAL ISSUES

S. Zhou, W. Zhao, X. Tang and S. Gong (Eds.). Analysis and Modelling of Faces and Gestures, Lecture Notes in Computer Science, Vol. 4778, 305 pages, Springer, 2007.

W. Zhao, S. Gong and X. Tang (Eds.). Analysis and Modelling of Faces and Gestures, Lecture Notes in Computer Science, Vol. 3723, 424 pages, Springer, 2005.

S. Gong, H. Zhang, S. Li, A. Senior, T. Vetter and W. Zhao (Eds.). IEEE International Workshop on Analysis and Modelling of Faces and Gestures, 239 pages, IEEE Computer Society, 2003.

S. Gong and H. Buxton (Eds.). Understanding Visual Behaviour, Vol. 20, No. 12, 91 pages, Image and Vision Computing, 2002.

RECENT PUBLICATIONS (a full listing with pdf)

J. Zhang and S. Gong. Action Categorisation with Modified Hidden Conditional Random Field. Pattern Recognition, Vol. 43, No. 1, pp. 197-203, January 2010.

W. Zheng, S. Gong and T. Xiang. Quantifying Contextual Information for Object Detection. In Proc. IEEE International Conference on Computer Vision, Kyoto, Japan, October 2009.

T. Hospedales, S. Gong and T. Xiang. A Markov Clustering Topic Model for Mining Behaviour in Video. In Proc. International Conference on Computer Vision, Kyoto, Japan, October 2009.

C. Loy, T. Xiang and S. Gong. Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model. In Proc. International Conference on Computer Vision, Kyoto, Japan, October 2009.

J. Li, S. Gong and T. Xiang. Discovering Multi-Camera Behaviour Correlations for On-the-Fly Global Activity Prediction and Anomaly Detection. In Proc. International Workshop on Visual Surveillance, Kyoto, Japan, October 2009.

S. Pachoud, S. Gong and A. Cavallaro. Space-Time Audio-Visual Speech Recognition with Multiple Multi-Class Probabilistic Support Vector Machines. In Proc. International Conference on Auditory-Visual Speech Processing, Norwich, UK, September 2009.

J. Orozco, S. Gong and T. Xiang. Head Pose Classification in Crowded Scenes. In Proc. British Machine Vision Conference, London, September 2009.

W. Zheng, S. Gong and T. Xiang. Associating Groups of People. In Proc. British Machine Vision Conference, London, September 2009.

K. Bashir, T. Xiang and S. Gong. Gait Representation Using Flow Fields. In Proc. British Machine Vision Conference, London, September 2009.

C. Loy, T. Xiang and S. Gong. Multi-Object Activity Modelling Using Gaussian Processes. In Proc. British Machine Vision Conference, London, September 2009.

E. Zelniker, T. Hospedales, S. Gong and T. Xiang. A Unified Approach for Adaptive Multiple Feature Tracking for Surveillance Applications. In Proc. British Machine Vision Conference, London, September 2009.

M. Bregonzio, S. Gong and T. Xiang. Recognising Action as Clouds of Space-Time Interest Points. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Miami, USA, June 2009.

C. Loy, T. Xiang and S. Gong. Multi-Camera Activity Correlation Analysis. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Miami, USA, June 2009.

C. Shan, S. Gong and P. McOwan. Facial Expression Recognition based on Local Binary Patterns: A Comprehensive Study. Image and Vision Computing, Vol. 27, No. 6, pp. 803-816, May 2009.

J. Zhang and S. Gong. People Detection in Low-Resolution Video with Non-Stationary Background. Image and Vision Computing, Vol. 27, No. 4, pp. 437-443, March 2009.

Y. Wang, T. Mei, S. Gong and X. Hua. Combining Global, Regional and Contextual Features for Automatic Image Annotation. Pattern Recognition, Vol. 42, No. 2, pp. 259-266, February 2009.

sgg@dcs.qmul.ac.uk