/Multiview_ByteTrack

Primary LanguagePython

Multiview_ByteTrack

I extend ByteTrack from single-view to multi-view with centroids-reid as the association method between different views.

Demo

Note

  1. Follow the instructions in ByteTrack github page to set it up
  2. Command line input is in command.txt (remember to change the camid)
  3. Create a new folder named MultiView_ByteTrack/videos and put your videos in it
  4. Download the pretrained weights from github website of ByteTrack(put it in a new folder named MultiView_ByteTrack/pretrained/) and CTL(put it in a new folder named MultiView_ByteTrack/encoder_weights/)
  5. For CTL, I used r50-ibn. For r50, network and image input size should be changed.
  6. Only two views are supported for this code.

Reference:

@article{Wieczorek2021OnTU, title={On the Unreasonable Effectiveness of Centroids in Image Retrieval}, author={Mikolaj Wieczorek and Barbara Rychalska and Jacek Dabrowski}, journal={ArXiv}, year={2021}, volume={abs/2104.13643} }

@article{zhang2022bytetrack, title={ByteTrack: Multi-Object Tracking by Associating Every Detection Box}, author={Zhang, Yifu and Sun, Peize and Jiang, Yi and Yu, Dongdong and Weng, Fucheng and Yuan, Zehuan and Luo, Ping and Liu, Wenyu and Wang, Xinggang}, booktitle={Proceedings of the European Conference on Computer Vision (ECCV)}, year={2022} }