Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment

Author

Osawa, Tatsuya ; Wu, Xiaojun ; Wakabayashi, Kaoru ; Yasuno, Takayuki

Author_Institution

NTT Cyber Space Labs., NTT Corp., Yokosuka

Volume

2

fYear

0

fDate

0-0 0

Firstpage

25

Lastpage

28

Abstract

This work presents a new approach based on particle filtering to directly estimate the 3D positions of humans. Our system can predict occlusions due to other movements because we track humans in a 3D space, not on a 2D image plane. In addition, we introduce a 3D environmental model as the background model for tracking. This makes it easier to handle occlusions due to fixed objects in the environment. The 3D environmental model is automatically constructed by our original method from video sequences. Experiments show that our system is stable under occlusions due to the movements of both other subjects and fixed objects

Keywords

image sequences; particle filtering (numerical methods); target tracking; video signal processing; 3D environmental model; 3D space; human tracking; occlusions; particle filtering; video sequences; Cameras; Filtering; Humans; Image reconstruction; Image sequences; Particle tracking; Security; Surveillance; Target tracking; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.641

Filename

1699140