Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach

We propose an edge segment based statistical background modeling algorithm and a moving edge detection framework for the detection of moving objects. We analyze the performance of the proposed segment based statistical background model with traditional pixel based, edge pixel based and edge segment based approaches. Existing edge based moving object detection algorithms fetches difficulty due to the change in background motion, object shape, illumination variation and noise. The proposed algorithm makes efficient use of statistical background model using the edge-segment structure. Experiments with natural image sequences show that our method can detect moving objects efficiently under the above mentioned environments.