| 基于Kalman滤波的均值漂移目标跟踪算法 |
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| 引用本文： | 刘柯,魏纳新,刘飞.基于Kalman滤波的均值漂移目标跟踪算法[J].电子科技,2014,27(9):37. |
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| 作者姓名： | 刘柯 魏纳新 刘飞 |
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| 作者单位： | (1.江南大学 自动化研究所,江苏 无锡 214000;2.中国船舶重工集团公司第702研究所,江苏 无锡 214082) |
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| 摘 要： | 为解决目标追踪中目标被遮挡的问题,文中设计了一种基于卡拉曼滤波的均值漂移目标跟踪算法。在选定目标的情况下,利用均值漂移算法迭代求得目标的位置,当目标被遮挡时,根据前一时刻目标的位置和速度等信息采用卡尔曼滤波预测,得到目标的位置。实验结果表明,该算法在有遮挡的情况下,准确性和实用性更强
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| 关 键 词： | 追踪算法 均值漂移 卡尔曼滤波 |
Mean Shift Object Tracking Algorithm Based on Kalman Filtering |
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| LIU Ke,WEI Naxin,LIU Fei.Mean Shift Object Tracking Algorithm Based on Kalman Filtering[J].Electronic Science and Technology,2014,27(9):37. |
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| Authors: | LIU Ke WEI Naxin LIU Fei |
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| Affiliation: | (1.Automation Research Institute,Jiangnan University,Wuxi 214000,China;
2.China Ship Scientific Research Center,Wuxi 214082,China) |
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| Abstract: | Mean shift object tracking algorithm based on Kalman filtering is designed to solve the object occlusion problem in the object tracking field.The target location is obtained by mean shift algorithm for the selected targets,and by Kalman filtering forecasting according to the location and speed of the previous time for the blocked targets.Experimental results show that designed algorithm is more accuracy and practical when the target is blocked. |
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| Keywords: | tracking algorithm mean shift Kalman filtering |
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