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

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Video-to-Video Face Recognition for Low-Quality Surveillance Data is written by Herrmann, Christian and published by KIT Scientific Publishing. It's available with International Standard Book Number or ISBN identification 3731507994 (ISBN 10) and 9783731507994 (ISBN 13).

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.