Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video-Based Surveillance Systems: Computer Vision and Distributed Processing
Video-Based Surveillance Systems: Computer Vision and Distributed Processing
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Vendor Test 2002
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
View independent vehicle/person classification
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
IEEE Transactions on Image Processing
A framework for lab-based real-time video analysis on distributed camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
A multi-agent architecture for supporting distributed normality-based intelligent surveillance
Engineering Applications of Artificial Intelligence
Surveillance and human-computer interaction applications of self-growing models
Applied Soft Computing
Semantic web technologies for video surveillance metadata
Multimedia Tools and Applications
Effective distributed service architecture for ubiquitous video surveillance
Information Systems Frontiers
Automatic unconstrained online configuration of a master-slave camera system
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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The increasing need for sophisticated surveillance systems and the move to a digital infrastructure has transformed surveillance into a large scale data analysis and management challenge. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data. While the majority of the research and commercial systems have focused on the information extraction aspect of the challenge, very few systems have explored the use of extracted information in the search, retrieval, data management and investigation context. The IBM smart surveillance system (S3) is one of the few advanced surveillance systems which provides not only the capability to automatically monitor a scene but also the capability to manage the surveillance data, perform event based retrieval, receive real time event alerts thru standard web infrastructure and extract long term statistical patterns of activity. The IBM S3 is easily customized to fit the requirements of different applications by using an open-standards based architecture for surveillance.