Moving object detection based on correlation rate subtraction using local region template matching

Kunihiro Goto; Fumihiko Saitoh; Kazuhiko Yamamoto; Kunihito Kato

doi:10.1117/12.736746

29 May 2007 Moving object detection based on correlation rate subtraction using local region template matching

Kunihiro Goto, Fumihiko Saitoh, Kazuhiko Yamamoto, Kunihito Kato

Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560Y (2007) https://doi.org/10.1117/12.736746
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France

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.

Citation Download Citation

Kunihiro Goto, Fumihiko Saitoh, Kazuhiko Yamamoto, and Kunihito Kato "Moving object detection based on correlation rate subtraction using local region template matching", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560Y (29 May 2007); https://doi.org/10.1117/12.736746

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