Long-Term Face Tracking for Crowded Video-Surveillance Scenarios

@article{Barquero2020LongTermFT,
  title={Long-Term Face Tracking for Crowded Video-Surveillance Scenarios},
  author={Germ{\'a}n Barquero and Carles Fern{\'a}ndez Tena and I. Hupont},
  journal={2020 IEEE International Joint Conference on Biometrics (IJCB)},
  year={2020},
  pages={1-8}
}
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that do not operate in real-time, often making them impractical for video-surveillance. In this paper, we present a longterm multi-face tracking architecture conceived for working in crowded contexts, particularly unconstrained in terms of movement and occlusions, and where the face is often the only visible part of the person. Our system benefits from advances in the fields of face… Expand

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