A technique for dynamic background segmentation using a robotic stereo vision head

Human-robot interaction approaches like face detection, face recognition, pedestrian detection are widely known in robotics field; however often they lead to performance problems. Additionally, false positive and false negative problems are commonly associated to bad illumination and strong featured images. Moreover background segmentation approaches are frequently used to solve this problem on static camera surveillance. Though all these approaches are unable to effectively deal with the constant background changes that certainly happens when the camera sensor is installed on a mobile robot. Hence, in this work we propose a stereo vision dynamic background segmentation solution to this problem.