A robust servo based headtracker with auto-zooming in cluttered environment

Author

Kuo, Teng-Kai ; Huang, Cheng-Ming ; Fu, Li-Chen ; Chen, Pei Ying

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

4

fYear

2003

fDate

4-6 June 2003

Firstpage

3107

Abstract

In this paper, we establish a nearly real-time surveillance tracking system, which is able to detect any person who intrudes to a prohibited area and lock his head image at the scene center. The entire underlying algorithm consists of a motion detector, a modified ellipse head tracking algorithm, auto-zooming ability, and a VPDA filter which is modified by probabilistic data association filter (PDA filter). The system operates about 35 ms and actively controls the camera platform pan and tilt motion to track a person in real environment. Finally, a number of experiments are conducted to validate the effective functionality of the head tracking system.

Keywords

clutter; image motion analysis; motion control; optical tracking; real-time systems; 35 ms; VPDA filter; autozooming ability; cluttered environment; ellipse head tacking algorithm; headtracker; motion detector; probabilistic data association filter; real-time surveillance tracking system; robust visual servo; tilt motion control; Detectors; Filters; Head; Layout; Motion detection; Real time systems; Robustness; Servomechanisms; Surveillance; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2003. Proceedings of the 2003

ISSN

0743-1619

Print_ISBN

0-7803-7896-2

Type

conf

DOI

10.1109/ACC.2003.1244006

Filename

1244006