On-line evolutionary head pose measurement by feedforward stereo model matching

Wei Song, Mamoru Minami, Yasushi Mae, Seiji Aoyagi

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

22 Citations (Scopus)

Abstract

This paper presents a method to estimate the 3D pose of a human's head using two images input from stereo cameras. The proposed method utilizes an evolutionary search technique of genetic algorithm (GA) and a fitness evaluation based on a stereo model matching. To improve the dynamics of recognition, a motion-feedforward method is proposed for the hand-eye system. The effectiveness of the method is confirmed by the experiments where the motion of the hand-eye camera compensated for the relative motion of the object in camera frame, resulting robust recognition against the hand-eye motion.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Robotics and Automation, ICRA'07
Pages4394-4400
Number of pages7
DOIs
Publication statusPublished - Nov 27 2007
Externally publishedYes
Event2007 IEEE International Conference on Robotics and Automation, ICRA'07 - Rome, Italy
Duration: Apr 10 2007Apr 14 2007

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2007 IEEE International Conference on Robotics and Automation, ICRA'07
CountryItaly
CityRome
Period4/10/074/14/07

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Song, W., Minami, M., Mae, Y., & Aoyagi, S. (2007). On-line evolutionary head pose measurement by feedforward stereo model matching. In 2007 IEEE International Conference on Robotics and Automation, ICRA'07 (pp. 4394-4400). [4209774] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2007.364156