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» Closed-loop Adaptation for Robust Tracking
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CVPR
2011
IEEE
12 years 11 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
ICPR
2006
IEEE
14 years 8 months ago
A Target Dependent Colorspace for Robust Tracking
The selection of the appropriate colorspace for tracking applications has not been an issue previously considered in the literature. Many color representations have been suggested...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICASSP
2011
IEEE
12 years 11 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
CVPR
2012
IEEE
11 years 10 months ago
Robust visual tracking using autoregressive hidden Markov Model
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...
Dong Woo Park, Junseok Kwon, Kyoung Mu Lee