Structured partial least squares for simultaneous object tracking and segmentation

@article{Zhong2014StructuredPL,
  title={Structured partial least squares for simultaneous object tracking and segmentation},
  author={Bineng Zhong and Xiao-Tong Yuan and Rongrong Ji and Yan Yan and Zhen Cui and Xiaopeng Hong and Yan Li Chen and Tian Wang and Duansheng Chen and Jiaxin Yu},
  journal={Neurocomputing},
  year={2014},
  volume={133},
  pages={317-327}
}
Segmentation-based tracking methods are a class of powerful tracking methods that have been highly successful in alleviating model drift during online-learning of the trackers. These methods typically include a detection component and a segmentation component, in which the tracked objects are first located by detection; then the results from detection are used to guide the process of segmentation to reduce the noises in the training data. However, one of the limitations is that the processes of… CONTINUE READING

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