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ICIP
2009
IEEE
13 years 5 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
ICPR
2006
IEEE
14 years 8 months ago
Robust Appearance-based Tracking using a sparse Bayesian classifier
An appearance-based approach to track an object that may undergo appearance change is proposed. Unlike recent methods that store a detailed representation of object's appeara...
Kwan-Yee Kenneth Wong, Roberto Cipolla, Shu-Fai Wo...
ICIP
2009
IEEE
13 years 5 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...
CVPR
2008
IEEE
14 years 9 months ago
Visual tracking with histograms and articulating blocks
We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histo...
S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang
ECCV
2004
Springer
14 years 9 months ago
Tracking Aspects of the Foreground against the Background
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...
Hieu Tat Nguyen, Arnold W. M. Smeulders