• Corpus ID: 215786215

Multi-Object Tracking with Siamese Track-RCNN

@article{Shuai2020MultiObjectTW,
  title={Multi-Object Tracking with Siamese Track-RCNN},
  author={Bing Shuai and Andrew G. Berneshawi and Davide Modolo and Joseph Tighe},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.07786}
}
Multi-object tracking systems often consist of a combination of a detector, a short term linker, a re-identification feature extractor and a solver that takes the output from these separate components and makes a final prediction. Differently, this work aims to unify all these in a single tracking system. Towards this, we propose Siamese Track-RCNN, a two stage detect-and-track framework which consists of three functional branches: (1) the detection branch localizes object instances; (2) the… 

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