Color-based tracking of heads and other mobile objects at video frame rates

Author

Fieguth, Paul ; Terzopoulos, Demctri

Author_Institution

Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada

fYear

1997

fDate

17-19 Jun 1997

Firstpage

21

Lastpage

27

Abstract

We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our algorithm is capable of simultaneously tracking objects at full frame size (640×480 pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via can explicit hypothesis-tree model of the occlusion process. We demonstrate the efficacy of our technique in the challenging task of tracking people, especially tracking human heads and hands

Keywords

colour vision; computer vision; motion estimation; tracking; Indy system; IndyCam; Silicon Graphics R4600; color information; digitized video images; object tracking; occlusion; tracking people; video frame rates; Bandwidth; Design engineering; Graphics; Humans; Magnetic heads; Robustness; Silicon; Surveillance; Systems engineering and theory; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609292

Filename

609292