Robust Object Tracking Using Joint Color-Texture Histogram

@article{Ning2009RobustOT,
  title={Robust Object Tracking Using Joint Color-Texture Histogram},
  author={Jifeng Ning and Lei Zhang and David Zhang and Chengke Wu},
  journal={Int. J. Pattern Recognit. Artif. Intell.},
  year={2009},
  volume={23},
  pages={1245-1263}
}
A novel object tracking algorithm is presented in this paper by using the joint color-texture histogram to represent a target and then applying it to the mean shift framework. Apart from the conventional color histogram features, the texture features of the object are also extracted by using the local binary pattern (LBP) technique to represent the object. The major uniform LBP patterns are exploited to form a mask for joint color-texture feature selection. Compared with the traditional color… 
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