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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2011 IEEE/SICE International Symposium on System Integration, SII 2011
Pages1171-1176
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE/SICE International Symposium on System Integration, SII 2011 - Kyoto, Japan
Duration: 2011 Dec 202011 Dec 22

Publication series

Name2011 IEEE/SICE International Symposium on System Integration, SII 2011

Other

Other2011 IEEE/SICE International Symposium on System Integration, SII 2011
CountryJapan
CityKyoto
Period11-12-2011-12-22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

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