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» Closed-loop Adaptation for Robust Tracking
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PAMI
2012
11 years 7 months ago
Scribble Tracker: A Matting-Based Approach for Robust Tracking
—Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degra...
Jialue Fan, Xiaohui Shen, Ying Wu
TCOM
2010
141views more  TCOM 2010»
13 years 3 months ago
Communications over the Best Singular Mode of a Reciprocal MIMO Channel
We consider two nodes equipped with multiple antennas that intend to communicate i.e. both of which transmit and receive data. We model the responses of the communication channels...
Saeed Gazor, Khalid AlSuhaili
ICPR
2006
IEEE
14 years 6 months ago
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking
In this paper, we present a system for simultaneous tracking of multiple persons in a smartroom using multiple cameras. Robust person tracks are created, continuously adapted, and...
Keni Bernardin, Alexander Elbs, Rainer Stiefelhage...
CVPR
2007
IEEE
14 years 7 months ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji
CVPR
2010
IEEE
12 years 2 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