Automatic Video Object Segmentation and Tracking Using An Improved Active Contour
基于改进活动轮廓的视频对象自动分割及跟踪算法

In order to extract the moving video object accurately,a novel algorithm for automatic segmentation and tracking moving object is proposed in this paper.Firstly,a fourth-order statistic hypothesis testing in inter-frame difference is used to automatically separate the moving areas from the background in a general video sequence.Then the morphological filter is used to remove the noises and holes.Based on the intersection operation of the two moving areas which obtained from three consecutive frames,the covered/uncovered background may be detected and moving object model can be obtained.Secondly,after determining the initial contour of the moving object,an improved active contour which uses the gradient vector as the external force guides the initial contour moving to the video object contour.Lastly,the motion compensation is made to the video object contour to obtain the initial contour of the next frame and the improved active contour is used again to correct the video object contour of the next frame.Thus,video object tracking can be realized.Our method can not only obtain the accurate contour of the video object but also make the segmentation and tracking for multiple objects.