Title :
A self-learning video-based face recognition system
Author :
Mou, Dengpan ; Schweer, Rainer ; Rothermel, Albrecht
Author_Institution :
Harman-Becker Automotive Syst. GmbH, Villingen
Abstract :
This paper presents a self-learning video-based face recognition system, which is targeted for the future intelligent home security or entertainment application. Unsupervised learning methods, temporal information, and the video context related logic rules are combined to keep the system running in an unsupervised way. Experiments demonstrate the robustness of the proposed prototype in unconstraint backgrounds
Keywords :
face recognition; unsupervised learning; entertainment application; intelligent home security; self-learning video-based face recognition system; temporal information; unsupervised learning methods; Face detection; Face recognition; Filters; Humans; Image recognition; Logic; Robustness; Security; Spatial databases; Unsupervised learning;
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-9459-3
DOI :
10.1109/ICCE.2006.1598328
