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

• Autore: Herrmann Christian
• Pubblicazione: KIT Scientific Publishing, 2018
• Descrizione fisica: 1 electronic resource (IX, 153 p. p.)
• Soggetto non controllato: face; recognition; video; Videoverarbeitung; Gesichtswiederkennung
• Sommario/riassunto: 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.
• Titolo autorizzato: Video-to-Video Face Recognition for Low-Quality Surveillance Data
• ISBN: 1000083168
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346953203321
• Lo trovi qui: Univ. Federico II