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基于Camshift与Kalman滤波算法的动态目标跟踪 被引量：4

Target Tracking Based on Camshift and Kalman Filter Algorithm
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摘要 提出了一种结合连续自适应均值漂移(Camshift)与卡尔曼(Kalman)滤波的目标跟踪算法,针对目标受干扰情况,对两种算法的跟踪结果进行线性的加权,从而得到目标的最终位置。实验结果显示,该方法具有良好的目标跟踪效果,且具有很强的稳健性。 A new object tracking algorithm combining Camshift and Kalman filtering algorithm is proposed in this paper, according to the disturbance level, accurately estimate the target location by using the liner weight method with different scale factors. The experiment results show that the new algorithm has very good performance and robustness.
作者 邹小东 于鸿洋 张萍
机构地区 电子科技大学电子科学技术研究院 电子科技大学电子工程学院
出处 《电视技术》 北大核心 2012年第15期120-123,共4页 Video Engineering
基金 广东省科技计划项目(2009A010100001)
关键词 均值漂移 连续自适应均值漂移 卡尔曼滤波 目标跟踪 Meanshift Camshift Kalman filter target tracking
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献9

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二级参考文献7

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共引文献37

同被引文献36

  • 1朱胜利,朱善安,李旭超.快速运动目标的Mean shift跟踪算法[J].光电工程,2006,33(5):66-70. 被引量：50
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电视技术
2012年 第15期

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