Fast Aerial UAV Detection Using Improved Inter-frame Difference and SVM

Abstract

In order to detect UAV in real time, the paper choose to use a dynamic detection method based on two consecutive inter-frame differences method to extract the region of interest. The position of the target appeared on the image was obtained by the method of two consecutive inter-frame difference, and the UAV was detected by the trained SVM classifier. UAV could be detected quickly and accurately in complex background and in different position and angle circumstances. Compared to the traditional HOG + SVM sliding window detection method, the experimental results show that the detecting speed with the methods is obviously improved when the recognition accuracy is invariable.