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CVPR
2011
IEEE
13 years 1 months ago
How does Person Identity Recognition Help Multi-Person Tracking?
We address the problem of multi-person tracking in a complex scene from a single camera. Although trackletassociation methods have shown impressive results in several challenging ...
Cheng-Hao Kuo, Ram Nevatia
CVPR
2004
IEEE
15 years 2 days ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICPR
2004
IEEE
14 years 11 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...
AVSS
2005
IEEE
14 years 3 months ago
Rank-based multisensory fusion in multitarget video tracking
An attractive approach to improve tracking performance for visual surveillance is to use information from multiple visual sensory cues such as position, color, shape, etc. Previou...
Damian M. Lyons, D. Frank Hsu
CIVR
2009
Springer
229views Image Analysis» more  CIVR 2009»
14 years 4 months ago
A human-machine collaborative approach to tracking human movement in multi-camera video
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
Philip DeCamp, Deb Roy