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» Adaptive summarisation of surveillance video sequences
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ICIP
2009
IEEE
13 years 4 months ago
Shadow detection in video surveillance by maximizing agreement between independent detectors
This paper starts from the idea of automatically choosing the appropriate thresholds for a shadow detection algorithm. It is based on the maximization of the agreement between two...
Juan C. SanMiguel, José M. Martinez
IWINAC
2011
Springer
12 years 10 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
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 10 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...
CVPR
2007
IEEE
14 years 9 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur