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CVPR
2005
IEEE
13 years 10 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
ICIP
2009
IEEE
14 years 5 months ago
Online Subjective Feature Selection For Occlusion Management In Tracking Applications
Most of the state-of-the-art tracking algorithms are prone to error when dealing with occlusions, especially when the involved moving objects are hardly discernible in appearance....
ACCV
2006
Springer
13 years 10 months ago
Attractor-Guided Particle Filtering for Lip Contour Tracking
Abstract. We present a lip contour tracking algorithm using attractorguided particle filtering. Usually it is difficult to robustly track the lip contour because the lip contour i...
Yong-Dian Jian, Wen-Yan Chang, Chu-Song Chen
ICCV
2003
IEEE
14 years 6 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu
ICPR
2008
IEEE
14 years 12 days ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+