Mixed Gaussian Model Based Video Foreground Object Detection

Video1 surveillance has been applied to various industries and business, but the video surveillance is mainly to provide video capture and display services at current, and does not care about video content. In some applications, users want to be able to monitor the video content and implement automatic prompting and alarming functions. Therefore, this paper uses the hybrid Gaussian model (GMM) to achieve the separation of the foreground and the background of the video and the experiments validate the effectiveness of the algorithm.