Moving cast shadow suppression from a Gaussian mixture shadow model
基于混合高斯模型的运动阴影抑制算法

The background modeling of complex environment, moving object detection, and moving cast shadow suppression could be applied to a lot of fields such as intelligent surveillance, robot vision and videoeonference ect. In moving foreground detection, an improved mixture Gaussian-based background modeling method was presented, which updated the parameters of Gaussians according to the frequency of pixel value changes, to reduce the cost of computation. In shadow suppression, a mixture Gaussian-based clustering algorithm was provided to detect and suppress shadow. This method firstly identifies whether a pixel value is probable shadow by shadow model in HSV color space, the pixel values detected as probable shadow are then put into mixture Gaussian shadow model to learn and cluster. The experimental results indicates that the oroDosed aooroach in this paper can process in real-time and remove shadow more effectively.