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Proceedings Paper

Moving object detection based on correlation rate subtraction using local region template matching
Author(s): Kunihiro Goto; Fumihiko Saitoh; Kazuhiko Yamamoto; Kunihito Kato
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Paper Abstract

This paper proposes a method to detect moving objects by the background subtraction using the normalized correlation matching. The normalized correlation matching is known as one of general-purposed template matching methods. And the method is robust against change of brightness. Therefore, it is expected that the stable detection of moving objects will be performed by using the normalized correlation matching against changing brightness of background. The proposed method regards the background image as the template image and evaluates correlation rates between the background image and the scene image in order to extract moving objects. We also adopt the integration technique of the correlation rate to realize more stable detection.

Paper Details

Date Published: 29 May 2007
PDF: 8 pages
Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560Y (29 May 2007); doi: 10.1117/12.736746
Show Author Affiliations
Kunihiro Goto, Gifu Univ. (Japan)
Fumihiko Saitoh, Gifu Univ. (Japan)
Kazuhiko Yamamoto, Gifu Univ. (Japan)
Kunihito Kato, Gifu Univ. (Japan)

Published in SPIE Proceedings Vol. 6356:
Eighth International Conference on Quality Control by Artificial Vision
David Fofi; Fabrice Meriaudeau, Editor(s)

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