A pedestrian tracking algorithm based on background unrelated head detection

@article{Zhang2017APT,
  title={A pedestrian tracking algorithm based on background unrelated head detection},
  author={Yibing Zhang and Tao Fan},
  journal={4th International Conference on Smart and Sustainable City (ICSSC 2017)},
  year={2017},
  pages={1-6}
}
Aiming at the problem that pedestrian tracking algorithm is prone to target tracking error in complex background, this paper proposes a pedestrian tracking algorithm based on human head detection to adapt to pedestrian tracking in many complex scenes. Firstly, the foreground segmentation technique is used to extract the motion foreground quickly. In the Adaboost classifier, the human body negative sample is added, and the Haar-like feature is used to detect the head on the basis of the movement… CONTINUE READING

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