By Topic

Real time human motion recognition based on a motion history image and an eigenspace

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ogata, T. ; Kyushu Inst. of Technol., Fukuoka, Japan ; Rahman, M.M. ; Joo Kooi Tan ; Ishikawa, S.

In this paper, we propose an efficient real time motion recognition technique based on the eigenspace method. In the proposed system, we use a motion history image (MHI) (Bobick and Davis, 2001) and a superposed motion image (SMI) to realize real time motion recognition employing an eigenspace. Application fields of the present technique may include a surveillance system tracking a person who behaves in a suspicious manner, or an intelligent rescue robot helping an elder person who is carrying a heavy bag or sitting down on the road as he/she feels bad.

Published in:

SICE 2004 Annual Conference  (Volume:2 )

Date of Conference:

4-6 Aug. 2004