摘要
提出了一种彩色序列图像中的实时运动目标跟踪算法,该算法首先利用综合帧间差分法与背景差分法两种方法优点的动态背景更新算法来检测各种运动目标,在后续的图像序列中,利用运动检测算法来确定目标跟踪的起始点,并利用Mean Shift算法来跟踪运动物体;然后再更新Mean Shift的目标模板。实验结果表明,该算法能够克服Mean Shift算法对尺度变化的物体的跟踪效果较差且不能检测突然出现在图像序列中的物体的不足,快速准确地跟踪各种物体。
Real-time object tracking method is proposed in this paper. It provides the ability to track the moving object in color image sequences. Firstly, an improved motion detection method is used to acquire potential regions with moving object regions in the image. Then it tracks the object by combining the Mean Shift algorithm and moving detection algorithm. The experiment results show that the algorithm which can track the moving objects quickly and precisely, and the algorithm is robust to size changes of the moving objects and can track sudden appearance of objects.
出处
《中国图象图形学报》
CSCD
北大核心
2008年第11期2181-2186,共6页
Journal of Image and Graphics
基金
福建省教育厅基金资助项目(JB05043)
