Title :
Real time human motion recognition based on a motion history image and an eigenspace
Author :
Ogata, Takehito ; Rahman, M. Masudur ; Tan, Joo Kooi ; Ishikawa, Seiji
Author_Institution :
Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
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.
Keywords :
computer vision; eigenvalues and eigenfunctions; image motion analysis; image recognition; real-time systems; computer vision; eigenfunctions; eigenspace; eigenvalues; image motion analysis; image recognition; motion history image; real time human motion recognition; superposed motion image;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
