Young Seok Cho, Ju Shin Lee

The KIPS Transactions:PartB , Vol. 8, No. 5, pp. 539-548, Oct. 2001
10.3745/KIPSTB.2001.8.5.539,   PDF Download:

Abstract

In this paper, we propose that fast tracking algorithm for moving object is separated from background, using partial boundary line information. After detecting boundary line from input image, we track moving object by using the algorithm which takes boundary line information as feature of moving object. we extract moving vector on the input image which has environmental variation, using high-performance BMA, and we extract moving object on the basis of the moving vector. Next, we extract boundary line on the moving object as an initial feature-vector generating step for the moving object. Among these boundary lines, we consider a part of the boundary line in every direction as feature vector. And then, as a step of tracking moving object, we extract moving vector from feature vector generated under the information of the boundary line of the moving object on the previous frame , and we perform tracking moving object from the current frame. As a result, we show that the proposed algorithm using feature vector generated by each directional boundary line is simple tracking operation cost compared with the previous active contour tracking algorithm that changes processing time by boundary line size of moving object. The simulation for the proposed algorithm shows that BMA operation is reduced about 39% in real image and tracking error is less than 2 pixel when the size of feature vector is [10x5] using the information of each direction boundary line. Also the proposed algorithm just needs 200 times of search operation but processing cost is varies by the size of boundary line on the previous algorithm.

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