Detection And Tracking Of Moving Objects In Video Sequences,

Active contours and deformable templates have received a lot of attention from the computer vision community in the past decade. They are used both for segmentation and for tracking of objects of interest in images. Tracking the visible boundary of an object in an image sequence is an important problem with application to video object segmentation for object-based compression, digital visual effects, determination of life span of video objects, and object-to-object interactions for content-based video indexing.In order to support content-based functions in the object-based 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. In temporal segmentation a statistical model is used to automatically separate the moving areas from the background in a general video sequence. The spatial segmentation bases on the results of temporal segmentation and using region-growing algorithm in RGB space can locate precise boundary of moving object. Lastly, using segment moving object as the initial model, moving object can be tracked by matching an image to a model based on 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 can not only extract objects with precise boundary but also decrease the processing time in performing motion object dectation and tracking,...