Abstract: It is a hotspot that detecting moving objects from complex traffic video sequences in ITS field. Background-frame subtraction method is widely used currently. To generate and update qualified background images is the core of the whole method. This paper proposes an improved method based on traditional mixed Gaussian modeling algorithm. This method makes use of the relationship between neighbored pixels to adjust the learning rate of parameter estimation in Gaussian model, which strongly enhances the improved algorithm the ability of anti-interference. It also proposes an improved method of shadow removing based on statistical texture character in shadow region. Experimental results show that the combinations of the two methods can accurately detect moving objects from complex traffic video sequences.
mixed Gaussian model,