基于区域形心及其矢量方向的视频对象跟踪  

Tracking video object based on regional-centroid and vector-direction

作　　者：张贝贝[1] 肖国强[1] 江健民[1] 

机构地区：[1]西南大学计算机与信息科学学院,重庆400715

出　　处：《计算机应用》2007年第6期1502-1504,共3页journal of Computer Applications

基　　金：重庆市科委自然科学基金资助项目(CSTC2006BD2309)

摘　　要：提出了一种新的基于区域形心及其矢量方向的视频对象跟踪算法。视频对象分割后,使用区域增长法将视频对象分成若干个区域,然后利用视频序列连续两帧中每个区域的形心及形心间矢量的方向,快速、有效地自动跟踪多个目标对象。实验结果表明,该算法对运动物体的出现和消失,以及非刚性物体的尺度变化和变形,具有较强的鲁棒性。An algorithm was proposed to track moving objects based on centroid and vector in this paper. After segmenting video objects, video objects were divided into several regions by region-growing method. Then with the help of centroid and direction of vector of each region in two successive frames of a video sequence, it is able to track multi-nonrlgid moving objects fast, effectively and automatically. The experimental results show that the presented method is robust to deal with the problems in multi-targets tracking such as new target entering, target leaving, scaling and deforming of nonrigid objects.

关 键 词：运动目标 视频对象 跟踪 形心 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]