A Moving Object Detection Algorithm Based on a Combination Optical Flow and Edge Detection

Abstract

Moving objectives detection is the basis for the application of computer vision technology, in intelligent video surveillance systems in many areas have a wide range of applications for dynamic in the context of the moving object detection, presented in this paper that will improve the pyramid optical flow law and the combination of edge detection moving object detection method. First of video pre-processing applications, Wavelet Threshold to remove noise; second, through the pyramid optical flow to achieve maximum displacement appears moving objectives; then uses a canny edge detection for the edge of an image information; and finally will get the optical flow of information and the edge of the characteristics of the information so the second value after the integration of the morphology through the follow-up to the campaign to get accurate target information. Lab results indicate that the algorithm real-time high, the versatile good, you can more accurately detect moving objectives.