ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Human distribution estimation using shape projection model based on multiple-viewpoint observations
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata
Multimedia Tools and Applications
Pedestrian counting in video sequences using optical flow clustering
ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
Segmentation of Pedestrians with Confidence Level Computation
Journal of Signal Processing Systems
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We are interested in the content analysis of video from a collection of spatially distant cameras viewing a single environment. We address the task of counting the number of different people walking through such an environment, which requires that the system can identify which observations from different cameras show the same person. Our system achieves this by combining visual appearance matching with mutual content constraints between the cameras. We present results from a system with four very different camera views that counts people walking through and around a research lab.