An Abandoned Object Detection System Based on Dual Background and Motion Analysis

In this paper, a video-surveillance system for the detection of abandoned objects and its owner is proposed. The approach is based on dual background for the detection of static foreground and motion analysis for its owner. The static foreground detection performs in two steps: constructing and updating a pixel-based dual background to obtain the dual foreground, carrying a register for the evidence frame to give an alarm. Motion analysis establishes the correspondence of foreground objects between the successive frames using color histogram, in order to label the objects and record their characteristic and state. When the static foreground detection part find a possible target, the result of the motion analysis can be used to estimate the owner. We demonstrate that this abandoned object detection system solves successfully a high percentage of occlusions.