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» On-Line Selection of Discriminative Tracking Features
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ICIP
2009
IEEE
13 years 2 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
ICCCN
2007
IEEE
13 years 5 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
ICIP
2007
IEEE
13 years 11 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
PAMI
2007
156views more  PAMI 2007»
13 years 4 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
ECCV
2010
Springer
13 years 2 months ago
Discriminative Nonorthogonal Binary Subspace Tracking
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
Ang Li, Feng Tang, Yanwen Guo, Hai Tao