Fusing Edge Cues to Handle Colour Problems in Image Segmentation

This paper presents a new background subtraction algorithm for mobile objects segmentation from a static background scene. Firstly, a case analysis of colour-motion segmentation problems is presented. Secondly, an architecture which fuses colour, intensity and edge cues is developed to cope the motion segmentation problems presented in the case analysis. Our approach first combines both colour and intensity cues in order to solve problems, such as saturation or the lack of the colour when the background model is built. Nonetheless, some colours problems presented in the case analysis are not solved yet, such as the camouflage in chroma. Then, in order to solve this problems a new cue based on edges 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.