Dual hand extraction using skin color and stereo information

  • Thien Cong Pham
  • , Xuan Dai Pham
  • , Dung Duc Nguyen
  • , Seung Hun Jin
  • , Jae Wook Jeon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Extracting the positions of hands is an important step in Human Computer Interaction and Robot Vision applications. Posture and gesture can be extracted from hand positions and the appropriate task can be performed. In this paper, we propose an approach to extract hand images using skin color and stereo information. Our method does not require clear hand-size or high-quality disparity. With a sound training database and an adequate working environment, we obtain nearly 100 percent accuracy. The run time, ignoring calculation of disparity generation time, is also acceptable.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
PublisherIEEE Computer Society
Pages330-335
Number of pages6
ISBN (Print)9781424426799
DOIs
StatePublished - 2009
Event2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
Duration: 21 Feb 200926 Feb 2009

Publication series

Name2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Conference

Conference2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
Country/TerritoryThailand
CityBangkok
Period21/02/0926/02/09

Keywords

  • Hand extraction
  • Skin detection
  • Stereo vision

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