An Efficient Background Extraction and Object Segmentation Algorithm for Realtime Applications

An efficient real-time background extraction and moving object detection is proposed. This paper presents an algorithm to extract the background pixel from the input image sequence with less memory usage. With the algorithm accurately extracted the background, motion objects can be detected correctly and quickly. To remove the noise produced after motion object detection, we use post-processing to detect and remove noise. Moreover, this paper adopts a simplified region filling algorithm to fill the holes in object with fixed executing time per frame. Experimental results for various environmental to demonstrate the accuracy and effectiveness of the proposed algorithm.