Moving object detection based on correlation rate subtraction using local region template matching
Kunihiro Goto, Fumihiko Saitoh, Kazuhiko Yamamoto, Kunihito Kato · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.