DocumentCode
3310424
Title
A self-learning video-based face recognition system
Author
Mou, Dengpan ; Schweer, Rainer ; Rothermel, Albrecht
Author_Institution
Harman-Becker Automotive Syst. GmbH, Villingen
fYear
2006
fDate
7-11 Jan. 2006
Firstpage
97
Lastpage
98
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCE.2006.1598328
Filename
1598328
Link To Document