Person recognition by stereo model-based matching

Daisuke Itou, Jianing Zhu, Yasushi Mae, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


This paper describes a method for detecting persons and measuring the 3D position in real time by stereo camera. We employ an unprocessed input color image termed here as raw-image to execute recognition process by model-based matching method. A person on the image is detected by Model-based matching and Genetic Algorithm. Face is defined as a circular skin color model for times of the image is evaluated by the face model. The maximum of evaluation value is searched by Genetic Algorithm. The position with the maximum evaluation value is detected as target person's face. The distance from the camera to the person is calculated by the disparity of detected person on the stereo images. The method obtains the person's position and height. Experimental results show the effectiveness of our proposed system.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Number of pages6
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: Oct 18 2006Oct 21 2006

Publication series

Name2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of


  • Person recognition
  • Real-time recognition
  • Stereo model-based matching

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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