Recognizing 3-D Objects Using Surface Descriptions
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support for effective use of multiple video streams in security
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Spatial querying for retrieval of locomotion patterns in smart environments
Proceedings of the 15th international conference on Multimedia
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Dynamic Environment for Video Surveillance
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Towards surveillance video search by natural language query
Proceedings of the ACM International Conference on Image and Video Retrieval
Grounding spatial prepositions for video search
Proceedings of the 2009 international conference on Multimodal interfaces
A distributed many-camera system for multi-person tracking
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
Surveillance video synopsis in the compressed domain for fast video browsing
Journal of Visual Communication and Image Representation
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An interactive interface is presented for near-synchronized and distributed multi-camera surveillance systems. Human tracking using multiple cameras is conducted employing a particle filter in conjunction with linear least-square trajectory extrapolation and color histogram matching. Spatial and temporal statistical information such as histograms of the number of pedestrians on a timeline-basis, pedestrians' trajectories over a certain period, pedestrian flow, and so forth is efficiently summarized and visualized. In addition, a sketch-based retrieval interface is also developed. As a result, our system facilitates operators to easily extract and access to important scenes from a huge amount of surveillance data. The real-life experiments in the public street demonstrated the validity of our system.