With emerging of new video coding standard MPEG 4

segmentation and tracking of video moving object is a key research topic in the field of interactive multimedia. In order to support content based functions in the visual standard of MPEG 4

each frame of video sequences should be represented in terms of video object planes (VOP's). Segmentation and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence. This paper introduces spatio temporal information to automatically segment and track video moving objects. Firstly

a fourth orders statistic hypothesis testing in inter frame difference is used to automatically separate the moving areas from the background in a general video sequence. Secondly

Change areas are extracted as markers of the corresponding moving object. Using the marker

watershed algorithm can locate the precise boundary of moving object. Lastly

using segment moving object as the initial model

moving object can be tracked by Hausdorff distance on a sequence of video

and the model is updated every frame to accommodate for changes in shape. Experimental results demonstrate that this method is effective to segment and track video moving objects. More

the number of parameters updated is the least.