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Proceedings Paper

Detection of moving individuals in cluttered scenes
Author(s): G. Christogiannopoulos; R. C. Young; C. R. Chatwin
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Paper Abstract

This paper describes a system for the detection of people moving in a video scene. The system is ultimately intended to allow tracking of the major parts of the human body. Objects are detected utilising a background subtraction method which is based on the movements of objects within the scene. The background removal algorithm is designed in a way that allows the background to be constantly updated automatically, allowing it to be used over a long period of time. Several methods for improving the outcome from the background removal algorithm are used which include addressing problems caused by variable shading. Mathematical morphology techniques are subsequently employed in order to improve the segmentation achieved in each frame.

Paper Details

Date Published: 17 April 2006
PDF: 15 pages
Proc. SPIE 6245, Optical Pattern Recognition XVII, 624504 (17 April 2006); doi: 10.1117/12.664891
Show Author Affiliations
G. Christogiannopoulos, Univ. of Sussex (United Kingdom)
R. C. Young, Univ. of Sussex (United Kingdom)
C. R. Chatwin, Univ. of Sussex (United Kingdom)


Published in SPIE Proceedings Vol. 6245:
Optical Pattern Recognition XVII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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