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» Adaptive Background Mixture Models for Real-Time Tracking
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ICIP
2004
IEEE
15 years 11 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
83
Voted
CLEAR
2007
Springer
263views Biometrics» more  CLEAR 2007»
15 years 3 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...
87
Voted
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
15 years 1 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»
15 years 1 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»
14 years 9 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