Fusing Color and Gradient Features for Background Model

Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel approach that uses fuzzy integral to fuse the gradient and color features for background model. The method could handle various small motions of background objects such as swaying tree branches and bushes. The model adapts quickly to changes in the scene that enables very sensitive detection of moving targets. The results show that the proposed method is effective and efficient in real-time and accurate background maintenance in complex environment