Multi-scale Deep Learning Architectures for Person Re-identification

@article{Qian2017MultiscaleDL,
  title={Multi-scale Deep Learning Architectures for Person Re-identification},
  author={Xuelin Qian and Yanwei Fu and Yu-Gang Jiang and Tao Xiang and Xiangyang Xue},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={5409-5418}
}
Person Re-identification (re-id) aims to match people across non-overlapping camera views in a public space. It is a challenging problem because many people captured in surveillance videos wear similar clothes. Consequently, the differences in their appearance are often subtle and only detectable at the right location and scales. Existing re-id models, particularly the recently proposed deep learning based ones match people at a single scale. In contrast, in this paper, a novel multi-scale deep… CONTINUE READING