01769nam 2200361z- 450 991034695320332120231214133029.01000083168(CKB)4920000000100990(oapen)https://directory.doabooks.org/handle/20.500.12854/62070(EXLCZ)99492000000010099020202102d2018 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierVideo-to-Video Face Recognition for Low-Quality Surveillance DataKIT Scientific Publishing20181 electronic resource (IX, 153 p. p.)Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe3-7315-0799-4 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.facerecognitionvideoVideoverarbeitungGesichtswiederkennungHerrmann Christianauth315734BOOK9910346953203321Video-to-Video Face Recognition for Low-Quality Surveillance Data3023514UNINA