Detection of Moving Objects from Dynamic Image Sequence

The background of dynamic image sequence is very complex due to the factors in imaging process. To cope with this problem, an adaptive image segmentation method for detecting the foreground objects is proposed. First, a Gaussian distribution model for image pixel is proposed. The parameters contained in the model are adaptively updated based on the information from the current and historical frames. Then, every frame is mapped from spatial domain to statistical domain incorporating the factors such as the difference image from the consecutive frames and the prior distribution of a pixel density. Finally, the foreground objects are robustly segmented in the statistical domain. Experimental results show the feasibility of the proposed methods.