A robust visual servo based headtracker with auto-zooming in cluttered environment
Resource
American Control Conference, 2003. Proceedings of the 2003
Journal
American Control Conference, 2003
Pages
-
Date Issued
2003-06
Date
2003-06
Author(s)
DOI
0743-1619
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.
Type
conference paper
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