计算机应用与软件Issue(1)：140-143,4.DOI:10.3969/j.issn.1000-386x.2014.01.036
一种新的Meanshift快速运动目标鲁棒跟踪方法
A NEW MEANSHIFT ROBUST TRACKING METHOD FOR FAST-MOVING TARGET
摘要
Abstract
Traditional Meanshift algorithm has problems in inaccurate tracking of fast-moving targets and easy to lose the targets enduringly tracked.In light of these,in the paper we present a new Meanshift robust tracking method for fast moving target.The new method combines Kalman filtering prediction and selects trusted regions from moving regions detected with frame difference method and carries out Meanshift colour similarity detection only once,if the similarity value does not meet the condition,then it conducts original Meanshift tracking in turn from other moving regions and finds out the best tracking region.The new method decrease the iteration times of colour matching in previous method,and can fast find back the original targets to track again once losing them during a long period tracking.In end of the paper,the results of tracking experiments also show that the new method computes faster with robustness in tracking.关键词
Meanshift/Kalman filter/目标跟踪/帧差法/快速跟踪Key words
Meanshift/Kalman filter/Target tracking/Frame difference method/Fast tracking分类
信息技术与安全科学引用本文复制引用
胡威..一种新的Meanshift快速运动目标鲁棒跟踪方法[J].计算机应用与软件,2014,(1):140-143,4.基金项目
国家自然科学基金项目（61272439）。 （）
