Motion Detection System Using Adoptive Background Updating

[[abstract]]We proposed a simple and robust method to detect moving objects in real-time video. Instead of using statistics to train out a background model in the past, we use a method which is less complexity and don’t need any pre-saved background images to patch and update the background. Then find out the motion information of moving objects in the frames by background subtraction. The proposed method also can determine a proper updating rate dynamically by combining the motion information of the moving objects, which can not only update the background precisely but also suitable for the PTZ camera and provide a better choice for many real-time detection system or surveillance system. (Ex: a parking lot)