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Record Nr. |
UNINA9910346953203321 |
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Autore |
Herrmann Christian |
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Titolo |
Video-to-Video Face Recognition for Low-Quality Surveillance Data |
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Pubbl/distr/stampa |
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KIT Scientific Publishing, 2018 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (IX, 153 p. p.) |
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Collana |
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Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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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