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

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

doi:10.1109/SII.2011.6147615

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

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

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2011 IEEE/SICE International Symposium on System Integration, SII 2011
Pages	1171-1176
Number of pages	6
DOIs	https://doi.org/10.1109/SII.2011.6147615
Publication status	Published - 2011 Dec 1
Event	2011 IEEE/SICE International Symposium on System Integration, SII 2011 - Kyoto, Japan Duration: 2011 Dec 20 → 2011 Dec 22

Publication series

Name	2011 IEEE/SICE International Symposium on System Integration, SII 2011

Other

Other	2011 IEEE/SICE International Symposium on System Integration, SII 2011
Country	Japan
City	Kyoto
Period	11-12-20 → 11-12-22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/SII.2011.6147615

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Cite this

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title = "Real-time image processing of human face identification for home service robot",

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.",

author = "Wang, {Ying Hao} and Shih, {Yen Te} and Cheng, {K. C.} and Lin, {Chih Jui} and Li, {Tzuu-Hseng S.}",

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Wang, YH, Shih, YT, Cheng, KC, Lin, CJ & Li, T-HS 2011, Real-time image processing of human face identification for home service robot. in 2011 IEEE/SICE International Symposium on System Integration, SII 2011., 6147615, 2011 IEEE/SICE International Symposium on System Integration, SII 2011, pp. 1171-1176, 2011 IEEE/SICE International Symposium on System Integration, SII 2011, Kyoto, Japan, 11-12-20. https://doi.org/10.1109/SII.2011.6147615

Real-time image processing of human face identification for home service robot. / Wang, Ying Hao; Shih, Yen Te; Cheng, K. C.; Lin, Chih Jui; Li, Tzuu-Hseng S.

2011 IEEE/SICE International Symposium on System Integration, SII 2011. 2011. p. 1171-1176 6147615 (2011 IEEE/SICE International Symposium on System Integration, SII 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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