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» KLD-Sampling: Adaptive Particle Filters
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IWSAS
2001
Springer
15 years 1 months ago
Adaptive Agent Based System for State Estimation Using Dynamic Multidimensional Information Sources
: This paper describes a new approach for the creation of an adaptive system able to selectively combine dynamic multidimensional information sources to perform state estimation. T...
Alvaro Soto, Pradeep K. Khosla
ICCV
2007
IEEE
15 years 11 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
CVPR
2006
IEEE
15 years 11 months ago
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking
The detection and tracking of three-dimensional human body models has progressed rapidly but successful approaches typically rely on accurate foreground silhouettes obtained using...
Alexandru O. Balan, Michael J. Black
BMVC
2010
14 years 7 months ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool
CVPR
2010
IEEE
13 years 6 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu