Abstract
There is a problem that the detecting and tracking method by using the image processing cannot the fast moving object. Many adaptive detecting and tracking method for fast moving object are proposed. However, these methods are not compared quantitatively because there are not the standardized evaluation methods. Moreover, the quantitative evaluations of these methods are not enough. In this paper, the quantitative evaluation methods are proposed and 2 methods are compared by the proposed methods. One of methods is the method using the HSV color space and updating the histogram. another is the MeanShift. The proposed methods consist of "Tracking Error," and "Limit Speed". The results of quantitatively Evaluation show that the proposed method is useful.
