Object tracking, as an important step in the Dynamic Image Analysis, is one important topic of Computer Vision., It has important and potential applications in the area of military affair and many new civil and commercial systems. There are many object tracking algorithms under complicated conditions, such as in dense visual clutter , partial occlusion or complete occlusion , but it is necessary to do further research. In this thesis, we improved the contour tracking based on Condensation algorithm with Shape Space Representation and do some further :research on this algorithm. Condensation algorithm is efficient, however, we can improve it from many aspects. The contributions of this thesis include: 1) We improve the Observation Model of the tracking system.In this model, we emphasis not only the invariability but the anti-disturbance ability of the model. Experiment results showed that it con obtain good tracking results even if the object is in dense visual clutter, partial occlusion. 2) Based on the work above, we deal with the complete occlusion, which Js a strong disturbance. Because the tracking system is robust, we take some hypothesis and use the shape space parameters to verdict, and at last we give a method to solve this problem.
修改评论