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» Adaptive Background Mixture Models for Real-Time Tracking
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ICIP
2004
IEEE
14 years 9 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio
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...
ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
13 years 12 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
IJCV
2008
146views more  IJCV 2008»
13 years 7 months ago
Scanning Depth of Route Panorama Based on Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along long streets. A camera is mounted on a vehicle moving along a straight or a mildly curved path and a sa...
Jiang Yu Zheng, Min Shi