Viewpoint-oriented human activity recognition in a cluttered outdoor environment

Author

Eftakhar, S. M Ashik ; Tan, Joo Kooi ; Kim, Hyongseop ; Ishikawa, Seiji

Author_Institution

Dept. of Control Eng., Kyushu Inst. of Technol., Fukuoka, Japan

fYear

2010

fDate

18-21 Aug. 2010

Firstpage

1506

Lastpage

1511

Abstract

Motion analysis in a cluttered outdoor scenario is a real challenging task. In this paper, a suitable human activity recognition approach is proposed that adapts with the noisy environment and with variable viewpoints. The recognition approach encompasses some motion processing methodologies having high precision for specific analysis, among those are: motion segmentation, optical flow computation, Motion History Image (MHI) generation, structured database development, and so on. Estimating the subject´s moving body region, 4-directional MHIs of each activity are generated. An efficient pre-developed motion database aids in recognition of the activities. The proposed approach proves its significant precision in recognition for various activities from varying viewpoints.

Keywords

image motion analysis; image segmentation; image sequences; pattern recognition; MHI generation; cluttered outdoor environment; cluttered outdoor scenario; human activity recognition approach; motion analysis; motion database; motion history image generation; motion processing methodology; motion segmentation; noisy environment; optical flow computation; structured database development; viewpoint-oriented human activity recognition; Computer vision; Databases; Humans; Image motion analysis; Motion segmentation; Optical computing; Optical imaging; cluttered outdoor; human activity recognition; motion history image; motion segmentation; optical flow;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference 2010, Proceedings of

Conference_Location

Taipei

Print_ISBN

978-1-4244-7642-8

Type

conf

Filename

5602534