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» Capturing People in Surveillance Video
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AVSS
2009
IEEE
14 years 2 months ago
Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors
Abstract—Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor...
Jeroen Lichtenauer, Michel François Valstar...
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...

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
ICIP
2010
IEEE
13 years 5 months ago
ESUR: A system for Events detection in SURveillance video
In this paper, we present our eSur (Event detection system on SURveillance video) system, which is derived from TRECVID'09 surveillance tasks. Currently, eSur attempts to det...
Yaowei Wang, YongHong Tian, Lingyu Duan, Zhipeng H...