Real time tracking with occlusion and illumination variations

Author

Chateau, Thierry ; Lapresté, Jean Thierry

Author_Institution

LASMEA, Univ. Blaise Pascal, France

Volume

4

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

763

Abstract

The authors present a robust real time object tracking by image processing. A planar model defined by a center and few interest points of the object is used. This model choice allows to be robust to light variations and partial occlusions and a particle filter based tracker allows to recover from total occlusion of the object during a few seconds. This algorithm works at 15 Hz on a personal computer under Linux and is robust concerning both geometrical aspects as planar rotation and scale modification. Real experimentations prove the validity of the method for outdoor applications like vehicle tracking for adaptive cruise control.

Keywords

adaptive control; hidden feature removal; object detection; tracking; 15 Hz; Linux; adaptive cruise control; illumination variation; image processing; light variations; object tracking; particle filter; planar model; planar rotation; real time tracking; scale modification; vehicle tracking; Application software; Image processing; Lighting; Linux; Microcomputers; Particle filters; Particle tracking; Programmable control; Robustness; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1333884

Filename

1333884