Multl-resolution background subtraction for dynamic scenes

Abstract

Dynamic scenes (e.g. waving trees, ripples in water, illumination changes, camera jitters etc.) challenge many traditional background subtraction methods. In this paper, we present a novel background subtraction approach for dynamic scenes, in which the background is modeled in a multi-resolution framework. First, for each level of the pyramid, we run an independent mixture of Gaussians Models (GMM) that outputs a background subtraction map. Second, these background subtraction maps are combined via AND operator to finally get a more robust and accurate background subtraction map. This is a natural fusion because the original resolution and low resolution images have complementary strengths, which original resolution image contains rich information and low resolution image is insensitive to the noises and the small movement of dynamic scene. Experimental result shows that this real-time algorithm is able to detect moving objects accurately even in dynamic scenes.