Shaogang Gong

Professor of Visual Computation
School of Electronic Engineering and Computer Science

Queen Mary University of London

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

Fax: +44 (0)20-7882 7064

Email: sgg@eecs.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. I am interested 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)

BOOKS

 


S. Gong, T. Xiang. Visual Analysis of Behaviour: From Pixels to Semantics, 376 pages, Springer, May 2011.

(order from amazon.co.uk, amazon.com, eBook on SpringerLink or download preface, table of contents, introduction and index)

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

EDITED BOOKS

S. Zhou, W. Zhao, X. Tang, 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, 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, W. Zhao (Eds.). Analysis and Modelling of Faces and Gestures, 239 pages, IEEE Computer Society, 2003.

RECENT PUBLICATIONS (a full listing with pdf)

T. Hospedales, S. Gong and T. Xiang. Video Behaviour Mining Using a Dynamic Topic Model. International Journal of Computer Vision, 2012.

C.C. Loy, T. Xiang and S. Gong. Incremental Activity Modelling in Multiple Disjoint Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.

M. Bregonzio, T. Xiang and S. Gong. Fusing Appearance and Distribution Information of Interest Points for Action Recognition. Pattern Recognition, Vol. 45, No. 3, pp. 1220-1234, March 2012.

S. Gong, C.C. Loy and T. Xiang. Security and Surveillance. In Moeslund, Hilton, Kruger and Sigal (Eds.), Visual Analysis of Humans: Looking at People, pp. 455-472, Springer, September 2011.

W. Zheng, S. Gong and T. Xiang. Quantifying and Transferring Contextual Information in Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.

J. Li, S. Gong and T. Xiang. Learning Behavioural Context. International Journal of Computer Vision, 2011.

T. Hospedales, S. Gong and T. Xiang. Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Transactions on Knowledge and Data Engineering, 2011.

T. Hospedales, J. Li, S. Gong and T. Xiang. Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 12, pp. 2451-2464, December 2011. 

T. Hospedales, S. Gong and T. Xiang. Learning Tags from Unsegmented Videos of Multiple Human Actions. In Proc. IEEE International Conference on Data Mining, Vancouver, Canada, December 2011.

W. Zheng, S. Gong and T. Xiang. Person Re-identification by Probabilistic Relative Distance Comparison. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 649-656, Colorado Springs, USA, June 2011.

T. Hospedales, S. Gong and T. Xiang. Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. In Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 296-308, Shenzhen, China, May 2011.

C.C. Loy, T. Xiang and S. Gong. Detecting and Discriminating Behavioural Anomalies. Pattern Recognition, Vol. 44, No. 1, pp. 117-132, January 2011.

J. Zhang and S. Gong. Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes. In Zhang, Shao, Zhang and Jones (Eds.), Intelligent Video Event Analysis and Understanding, pp. 111-125, Springer, January 2011.

sgg@dcs.qmul.ac.uk