A Reinforcement Learning Approach to Target Tracking in a Camera Network

@article{Sharma2018ARL,
  title={A Reinforcement Learning Approach to Target Tracking in a Camera Network},
  author={Anil Sharma and Prabhat Kumar and Saket Anand and Sanjit K. Kaul},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.10336}
}
Target tracking in a camera network is an important task for surveillance and scene understanding. The task is challenging due to disjoint views and illumination variation in different cameras. In this direction, many graph-based methods were proposed using appearance-based features. However, the appearance information fades with high illumination variation in the different camera FOVs. We, in this paper, use spatial and temporal information as the state of the target to learn a policy that… CONTINUE READING
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