Feature extractions for estimating human behaviors via a binocular vision head

Keigo Watanabe, Kiyotaka Izumi, Kohei Kamohara, Eisuke Yamada

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

6 Citations (Scopus)

Abstract

We try to construct an estimation system of human behaviors, confining only the human behaviors that a robot vision head has met on, by extracting valuable information on the human behaviors from the binocular camera. Thus, in the present approach the human actions and objects related to the human behaviors are estimated by the images obtained from the camera, and their information are utilized for the human behavior estimation. Here, assume that, for the present estimation system of human behaviors, the information on a two-dimensional map that the human acts and behaves is known in advance and available.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages634-639
Number of pages6
DOIs
Publication statusPublished - Dec 1 2007
Externally publishedYes
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: Oct 17 2007Oct 20 2007

Publication series

NameICCAS 2007 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period10/17/0710/20/07

Keywords

  • Binocular vision head
  • Estimation of human behaviors
  • Feature extraction of human postures

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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