Real-time Aerial Targets Detection Algorithm Based Background Subtraction

in his paper, we propose a square new square technique incorporates several innovative mechanisms for aerial target detection. The traditional algorithm has high time complexity, and when the target size changes, it has greater limitations. It is difficult to meet its critical real-time and accuracy requirements in practical application. Based on this, we propose the air target detection algorithm based background subtraction. Complete modeling of the video in the first frame, detect the target in second frame, the location and size of the target is obtained by connecting area detection. From the third frame, we use the size and position of target from last frame to open a window, and track the target in the window. Tracking target in the window, we can eliminate background interference and reduce the time consumption. Compared with the traditional algorithm, the proposed algorithm is experimentally proved real-time well, detecting and tracking efficient highly, and have a highly practical in practice.