An Improved GMM based Video Foreground Separation
Caixia Zhang, Qingyang Xu · 2019
Surveillance video analysis has applied to kinds of areas. Mixed GMM is a traditional target separation method. In order to overcome the object detection performance under dynamic scene, an improved algorithm is adopted to improve the mixed Gaussian model algorithm. A different initialization and model parameter updating strategy are adopted to detect the object under dynamic scene. The experiments validate the effectiveness of the algorithm at the lakeside and geyser.