Real-time image processing of human face identification for home service robot

Author

Wang, Ying-Hao ; Shih, Yen-Te ; Cheng, K. -C ; Lin, Chih-Jui ; Li, Tzuu-Hseng S.

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2011

fDate

20-22 Dec. 2011

Firstpage

1171

Lastpage

1176

Abstract

This paper presents a real-time image processing of human face identification for home service robot (HSR). This vision system is set up by two individual sub-systems. The first one is face detection and tracking sub-system based on adaptive skin detector, condensation filter with parallel computing particles, and Haar-like classifier. And a simple and fast motion predictor is also proposed for face tracking. The second is face recognition system based on embedded HMM (EHMM) with parallel training and recognition procedures. In order to reach a fast, robust, efficient, this study used extensible parallel integrated vision system (PIVS). Finally, real-time experimental results on different humans in different unknown scenes demonstrate that the proposed PIVS is indeed feasible, simple and safe.

Keywords

Haar transforms; face recognition; filtering theory; hidden Markov models; motion compensation; object tracking; robot vision; service robots; EHMM; HSR; Haar-like classifier; PIVS; adaptive skin detector; condensation filter; embedded HMM; extensible parallel integrated vision system; face detection; face recognition system; face tracking subsystem; home service robot; human face identification; individual subsystems; motion predictor; parallel computing particles; parallel training; real-time image processing; recognition procedures; Face; Face detection; Face recognition; Hidden Markov models; Humans; Image color analysis; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

System Integration (SII), 2011 IEEE/SICE International Symposium on

Conference_Location

Kyoto

Print_ISBN

978-1-4577-1523-5

Type

conf

DOI

10.1109/SII.2011.6147615

Filename

6147615