Intra-Clip Aggregation For Video Person Re-Identification

@article{Isobe2020IntraClipAF,
  title={Intra-Clip Aggregation For Video Person Re-Identification},
  author={Takashi Isobe and Jian Han and Fang Zhu and Yali Li and Shengjin Wang},
  journal={2020 IEEE International Conference on Image Processing (ICIP)},
  year={2020},
  pages={2336-2340}
}
  • Takashi Isobe, Jian Han, +2 authors S. Wang
  • Published 5 May 2019
  • Computer Science
  • 2020 IEEE International Conference on Image Processing (ICIP)
Video-based person re-identification has drawn massive attention in recent years due to its extensive applications in video surveillance. While deep learning based methods have led to significant progress, these methods are limited by ineffectively using complementary information, which is blamed on necessary data augmentation in training process. Data augmentation has been widely used to mitigate the overfitting trap and improve the ability of network representation. However, the previous… 

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