期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：7
页码：193-200
DOI：10.14257/ijseia.2015.9.7.20
出版社：SERSC
摘要：Tracking objects in real time and exact tracking have long been challenging area in the field of computer vision. This paper describes a modified Continuously Adaptive Mean Shift (CAMshift) algorithm based on the Hue Saturation Value (HSV) color model for tracking an object in real time. The existing CAMshift can detect precisely when an object has a simple color. However, it has some disadvantages. When a CAMshift algorithm tracks an object, it does not consider direction and velocity, and it is difficult to track an object that has various colors and when the background contains color(s) similar to those of an object. In such case, CAMshift is worse than Meanshift. To overcome these disadvantages, a Kalman filter is used with CAMshift, as a Kalman filter can obtain direction vectors and it can make CAMshift exact, even under the aforementioned conditions.
关键词：CAMshift; HSV color model; Kalman Filter; Tracking
