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

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Christian Herrmann, "Video-to-Video Face Recognition for Low-Quality Surveillance Data"
English | ISBN: 3731507994 | 2018 | 182 pages | PDF | 4 MB
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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