CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Visual Event Detection
Frame-Rate Omnidirectional Surveillance & Tracking of Camouflaged and Occluded Targets
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Detecting unusual activity in video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Visual event recognition using decision trees
Multimedia Tools and Applications
Non-parametric anomaly detection exploiting space-time features
Proceedings of the international conference on Multimedia
Dense spatio-temporal features for non-parametric anomaly detection and localization
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
A micro wireless video transmission system
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Unsupervised fast anomaly detection in crowds
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Computer Vision and Image Understanding
Review: on the use of agent technology in intelligent, multisensory and distributed surveillance
The Knowledge Engineering Review
On collaborative people detection and tracking in complex scenarios
Image and Vision Computing
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Panopticon: a parallel video overview system
Proceedings of the 26th annual ACM symposium on User interface software and technology
Computer Vision and Image Understanding
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Over the past 10 years, computer vision research has matured significantly. Although some of the core problems, such as object recognition and shape estimation are far from solved, many applications have made considerable progress. Video Surveillance is a thriving example of such an application. On the one hand, worldwide the number of cameras is expected to continue to grow exponentially and security budgets for governments, corporations and the private sector are increasing accordingly. On the other hand, technological advances in target detection, tracking, classification, and behavior analysis improve accuracy and reliability. Simple video surveillance systems that connect cameras via wireless video servers to Home PCs offer simple motion detection capabilities and are on sale at hardware and consumer electronics stores for under $300. The impact of these advances in video surveillance is pervasive. Progress is reported in technical and security publications, abilities are hyped and exaggerated by industry and media, benefits are glamorized and dangers dramatized in movies and politics. This exposure, in turn, enables the expansion of the vocabulary of video surveillance systems paving the way for more general automated video analysis.