An Effective Background Reconstruction Method for Video Objects Detection

The background subtraction is an important method to detect the moving objects, and effective background reconstruction is the key for the background subtraction. Based on the idea that the pixel average appearing with high frequency in an image series is the background points, the pixel intensity classification (PIC) algorithm can reconstruct background accurately. In this paper, a new background estimation method based on the PIC algorithm is proposed. Through normalization, quantitative statistic, quantization range extension of the pixels of the chosen image sequence is used to reconstruct the background. Based on the background reconstructed by the improved PIC algorithm, we build a moving object detection system with OpenCV. The experiments results show that the method proposed in this paper can reconstruct the background image quickly and can extract the moving objects from the video sequence successfully.