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卡尔曼滤波在跟踪运动目标中的应用及仿真 被引量:2

Application and Simulation of Kalman Filter in Moving Target Tracking
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摘要 在智能监控系统中,通过帧差法对运动物体的识别、定位,利用卡尔曼滤波算法对目标运动进行预测、跟踪,从而控制摄像头转动,跟踪目标物,使目标物体始终出现监控画面的中心。在此采用卡尔曼滤算法,进行目标运动的预估,利用Matlab对其仿真。仿真结果显示跟踪效果非常好,证明采用该算法来跟踪动目标物有效可行,具有一定的研究价值。 In the intelligence video monitor system, making use of the frame subtraction method to identify,locate the moving objects,Kalman filter is used to predict the moving object,in order to control the video camera turn and track the moving target, making the moving target in the center of the monitor image all along. Focusing on the tracking of moving targets throngh using Kalman filtering method, simulation results show that the effect of tracting is very pefect,it has good values.
出处 《现代电子技术》 2009年第20期54-56,共3页 Modern Electronics Technique
基金 国家自然科学基金资助项目(60272089) 广东省自然科学基金资助项目(04009464)
关键词 卡尔曼滤波 帧差法 运动目标跟踪 MATLAB Kalman filter frame subtraction method moving target tracking Matlab
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