Moving Object Detection System In Aerial Video Surveillance

Moving object detection in aerial video, in which the camera is moving, is a complicated task. In this paper, we present a system to solve this problem by using scale invariant feature transform(SIFT) and Kalman Filter. Moving objects are detected by a feature point tracking method based on SIFT extraction and matching algorithm. In order to increase the precision of detection, some pre-processing methods are added to the surveillance system such as video stabilization and canny edge detection. Experimental results indicate that the suggested method of moving object detection can be achieved with a high detection ratio.