A Disparity-Based Adaptive Multihomography Method for Moving Target Detection Based on Global Motion Compensation

Abstract

Moving target detection is an important technique in visual surveillance systems. If a camera is freely moving, it becomes more difficult to detect a moving target, especially in the environment of a wide-range background. To compensate for the global motion of a wide-range background, a disparity-based adaptive multi-homography method is proposed. The proposed method comprises four steps: 1) feature point extraction; 2) generation of adaptive multi-homography matrices using motion grouping; 3) generation of background model and detection of background; and 4) target detection. Experimental results show that the proposed method can robustly detect moving targets in sequences taken by a freely moving camera