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152
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
126
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
144
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
138
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
129
click to vote
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views....