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» Detection of Changes in Surveillance Videos
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CLEAR
2007
Springer
263views Biometrics» more  CLEAR 2007»
14 years 1 months ago
CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Evaluation of USC Human Tracking System for Surveillance Videos
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
ICPR
2006
IEEE
14 years 8 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
WACV
2005
IEEE
14 years 3 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
To facilitate accurate and efficient detection of motion patterns in video data, it is desirable to abstract from pixel intensity values to representations that explicitly and co...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos

Publication
195views
14 years 3 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel intensity values towards representations that explicitly and compactly ca...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos