Title :
Video-based face recognition technology for automotive security
Author :
Chen, Rongbao ; Zhang, ShiJie
Author_Institution :
Sch. of Electr. Eng. & Autom., HeFei Univ. of Technol., HeFei, China
Abstract :
In this paper, face recognition technology is applied to automotive security. Because the face system is totally non-intrusive, it can therefore make an existing security system more effective without bothering the user in any way. This paper introduce a video-based face recognition systems for auto security, and describe the face recognition systems and algorithm in detail.
Keywords :
face recognition; feature extraction; security; automotive security; face system; feature extraction; video based face recognition; Automation; Automotive engineering; Eyes; Face detection; Face recognition; Feature extraction; Nearest neighbor searches; Object detection; Security; Video sequences; 2DFLD; AdaBoost; Nearest Neighbor Rule; auto security; face recognition;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536506
