| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系 === 90 === An algorithm of video segmentation and tracking based on background construction is proposed. Rough background can be constructed by using this algorithm. Applying rough background, the moving object can be segmented by using the characteristic of gradient vector flow (GVF). Morphing active contours is used to track the object that has been segmented. Finally, reliable background is constructed from the every segmentation result. In this thesis, the abilities of GVF in the complicate background have been improved by using construct reliable background. According the rough background, only the smaller area of moving object is used to segmentation. The area of tracking is reduced by motion estimation and the coding efficiency is improved because the construction of reliable background.
In this thesis, several real videos are experimented: Under the assumption of the size and speed of object, efficient segmentation and tracking on multi-objects can be implemented by the algorithm proposed in this thesis.
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