Background subtraction fusing colour, intensity and edge cues

Abstract

This paper presents a new background subtraction algorithm for known mobile objects segmentation from a static background scene. Firstly, a casuistry of colour-motion segmentation problems is presented. Our approach first combines both colour and intensity cues in order to solve some of the colour motion segmentation problems presented in the casuistry, such as saturation or the lack of the colour when the background model is built. Nonetheless, some colours problems presented in the casuistry are not solved yet such as dark and light camouflage. Then, in order to solve this problems a new cue —edge cue— is proposed. Finally, our approach which fuses colour, intensity and edge cues is presented, thereby obtaining accurate motion segmentation in both indoor and outdoor scenes.