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» Recursive Clustering for Multiple Object Tracking
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CVPR
2007
IEEE
14 years 9 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...
CVPR
2012
IEEE
11 years 9 months ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee
PAMI
2006
193views more  PAMI 2006»
13 years 7 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
CVPR
2008
IEEE
14 years 9 months ago
Correspondence-free multi-camera activity analysis and scene modeling
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. We assume that the topology of camera views is unknown and quite a...
Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
CVPR
2004
IEEE
14 years 9 months ago
Motion Segmentation with Missing Data Using PowerFactorization and GPCA
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...
René Vidal, Richard I. Hartley