Moving object detection with mobile stereo omni-directional system (SOS) based on motion compensatory inter-frame depth subtraction

Abstract

Moving object detection with a mobile image sensor is an important task when considering mobile robots for use in human environments. In this paper, we propose a novel method/or effectively solving the problem of detecting moving objects for mobile robots by using the stereo omni-directional system (SOS) which has a complete spherical FOV. We first predict the depth image for the present time from the self-motion of the SOS and the depth image obtained at the previous time, and then detect the moving objects by comparing the predicted depth image with the actual one obtained at the present time. Experiments in the real world show the effectiveness of the proposed method.