Real-time embedded face recognition for smart home

被引:66
作者
Zuo, F
de With, PHN
机构
[1] Eindhoven Univ Technol, NL-5600 MB Eindhoven, Netherlands
[2] Eindhoven Univ Technol, Signal Proc Syst Grp, NL-5600 MB Eindhoven, Netherlands
[3] LogicaCMG Eindhoven, NL-5605 JB Eindhoven, Netherlands
关键词
biometrics; face detection; face recognition; facial feature extraction; smart home;
D O I
10.1109/TCE.2005.1405718
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose a near real-time face recognition system for embedding in consumer applications. The system is embedded in a networked home environment and enables personalized services by automatic identification of users. The aim of our research is to design and build a face recognition system that is robust for natural consumer environments and can be executed on low-cost hardware. For enabling distribution of computations, we propose a processing pipeline for face. recognition, which consists of (1) face detection by stepwise pruning; (2) coarse-to-fine facial feature extraction for face normalization; and (3) face identification by cascaded discriminant analysis. The system has been applied in varying environments, such as an experimental home network, and achieves over 95% recognition rate and 34frames/s processing speed(1).
引用
收藏
页码:183 / 190
页数:8
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