Detecting and tracking of small moving target under the background of sea level

Target detecting and tracking based on video is one of the significant research field of computer vision, in this paper some research has been done on the small moving target under the background of sea level. In the process of target detecting, the moving targets detecting algorithm combining the method of background subtraction with the method of symmetrical difference is proposed in this paper. In the process of target tracking, using mean shift combining Kalman filter. Kalman filter can predict the possible position on the next frame of the video image, and using the mean shift algorithm to search in this neighboring range, this method is effective on fast moving target. The experiment shows that itpsilas a good algorithm to track the small target in the circumstance of low signal noise rate.