A New Method for Moving Object Segmentation Automatically in Video Sequence
一种视频序列中的运动对象自动分割算法

An automatic and accurate moving object segmentation algorithm is proposed in this paper. Firstly, to overcome the shortcoming of setting the value of background noise variance by experience, we estimate the value by histogram fitting. At the same time, we use the significance test to threshold the difference image and extract the moving areas. Then, the residual noise and the uncovered background due to the motions of objects are fast and effectively eliminated by morphological operations and intersection of two symmetrical moving areas. Thus the initial moving object and its contour can be obtained. However, the segmentation result is not very accurate. To solve this problem, an improved active contour which uses the gradient vector as the external force guides the initial contour moving to the actual video object contour. Experiment results testify that the proposed algorithm not only can obtain the closed and accurate video object contour but also has the properties of few parameters, robust to noise, and parallel processing