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基于尺度空间的改进均值偏移目标跟踪

Improved Mean Shift Tracking Algorithm Based on Scales-spaces
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摘要 针对在均值偏移算法中颜色直方图不能够很好地对跟踪目标进行描述,提出了基于尺度空间的改进性均值偏移算法。使用跟踪目标的颜色特征和尺度空间特征对其统计直方图进行改进,并且通过尺度因子对目标的位置和大小进行了调整和修正。实验表明改进算法对目标在运动过程中放大变化具有很好的跟踪效果。 The color histogram can＇t describe objective well in mean-shift tracking algorithm. An improved mean-shift tracking algorithm based on scales-spaces is proposed. The spatial histogram is improved by color and scales-spaces features of the tracking target, and the target＇ s position and size are adjusted and corrected by a scale factor. Experiment proves that the present method has better tracking performance for target which is moving.
作者 王成儒 郑永飞
机构地区 燕山大学信息科学与工程学院
出处 《电视技术》 北大核心 2012年第17期148-151,共4页 Video Engineering
关键词 Mean SHIFT 目标跟踪 尺度空间 统计直方图 Mean Shift target tracking scales-spaces spatial histogram
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献8

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二级参考文献18

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电视技术
2012年 第17期

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