Visual tracking with occlusion handling for visual servo control

Yasushi Iwatani, Kei Watanabe, Koichi Hashimoto

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

9 Citations (Scopus)

Abstract

This paper proposes a visual tracking method which is robust to occlusion. This paper also integrates the visual tracking method and visual servo control into a vision-based control method with occlusion handling. The proposed method chooses a set of correctly extracted image features, and it then obtains an estimate of all the image features from the correctly extracted image features. The estimation procedure makes it possible to track image features even when occlusion occurs. The method has low computational complexity, since the image Jacobian is used for the image feature selection and estimation. In addition, even when the controller fails to track a moving image feature, it can find the failed image feature without a global search over the entire image plane. As a result, it can track the failed image feature again quickly.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages101-106
Number of pages6
DOIs
Publication statusPublished - 2008 Sep 18
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: 2008 May 192008 May 23

Publication series

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

Other

Other2008 IEEE International Conference on Robotics and Automation, ICRA 2008
CountryUnited States
CityPasadena, CA
Period08/5/1908/5/23

ASJC Scopus subject areas

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

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