• Corpus ID: 244488191

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking

@article{Nguyen2021LMGPLM,
  title={LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking},
  author={Duy M. H. Nguyen and Roberto Henschel and Bodo Rosenhahn and Daniel Sonntag and Paul Swoboda},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.11892}
}
Multi-Camera Multi-Object Tracking is currently draw-ing attention in the computer vision field due to its supe-rior performance in real-world applications such as video surveillance with crowded scenes or in wide spaces. In this work, we propose a mathematically elegant multi-camera multiple object tracking approach based on a spatial-temporal lifted multicut formulation. Our model utilizes state-of-the-art tracklets produced by single-camera trackers as proposals. As these tracklets may… 

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