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Video-to-Video Face Recognition for Low-Quality Surveillance Data

Video-to-Video Face Recognition for Low-Quality Surveillance Data

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The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

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Keywords

  • Computer science
  • Computing & information technology
  • Face
  • Gesichtswiederkennung
  • recognition
  • video
  • Videoverarbeitung

Links

DOI: 10.5445/KSP/1000083168

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