文件名称:UKFMean_Shift
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- 上传时间：
- 2014-07-01
- 文件大小：
- 1.1mb
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- 0次
- 提 供 者：
- 小*
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提出一种多尺度理论与无味卡尔曼滤波
器(UKF)相结合的视频跟踪改进算法。利用多尺度理论统计跟踪窗内的信息量，使用 UKF 对得到的信息量进行预测，通过修正后的信息量
计算窗口变化比例系数，对尺度任意变化的目标进行跟踪。-An novel
method is proposed that is multi-scale space theory combined with Unscented Kalman Filter(UKF). UKF filter is introduced to predict the
information in the tracking window which is calculated by the multi-scale space theory. The proportion of the target image area is got by the
modified information. It is implemented by the combination of the Mean-Shift tracking algorithm and UKF to track targets.
器(UKF)相结合的视频跟踪改进算法。利用多尺度理论统计跟踪窗内的信息量，使用 UKF 对得到的信息量进行预测，通过修正后的信息量
计算窗口变化比例系数，对尺度任意变化的目标进行跟踪。-An novel
method is proposed that is multi-scale space theory combined with Unscented Kalman Filter(UKF). UKF filter is introduced to predict the
information in the tracking window which is calculated by the multi-scale space theory. The proportion of the target image area is got by the
modified information. It is implemented by the combination of the Mean-Shift tracking algorithm and UKF to track targets.
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下载文件列表
基于UKF的窗口自适应Mean_Shift算法_杨帆.caj