| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士班 === 93 === In the field of object tracking, there have many scholars proposed methods which is to predict and match object in each frame for enhanced the correctness of the object tracking technique. Kalman filter and Condensation algorithm were used generally. The former is used object’s motion information to predict object’s position in next frame and the latter is used object’s information of color distribution to match object in next frame.
In this project, we proposed a technique which combine many image processing methods like gray-level, closing operator, median filter, etc. to assist system can analyze more correct information of foreground object. Then we used object segmentation and object analysis technique to extract every object’s information and feature in present time and use object’s motion vector and the information of color distribution to tracking object correctly.
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