Title :
VIVIE: A video-surveillance indexer via identity extraction
Author :
Abate, A.F. ; De Marsico, Maria ; Nappi, Michele ; Daniel, Riccio
Author_Institution :
Univ. di Salerno, Fisciano, Italy
Abstract :
VIVIE is a system for video sequence indexing. Video frames are annotated according to the identities of appearing subjects. Different interacting modules perform different processing steps, and each can be possibly substituted with a different one performing the same task using a different method. Classification and clustering are the most challenging activities. Differently from most existing similar systems, VIVIE accounts for the concomitant appearance of two identities in the same clip, and exploits such information for identity mapping. VIVIE was tested on 7 video clips and on a subset of the SCFace database to assess its performances.
Keywords :
face recognition; image sequences; indexing; video signal processing; video surveillance; VIVIE accounts; identity extraction; video sequence indexing; video surveillance indexer; Accuracy; Face; Face detection; Face recognition; Feature extraction; Nose; Video sequences; Face Recognition; Video Indexing;
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2011.6012238