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计算机工程 ›› 2006, Vol. 32 ›› Issue (20): 25-27,3. doi: 10.3969/j.issn.1000-3428.2006.20.009

• 博士论文 • 上一篇    下一篇

基于改进直方图映射和均值移位目标跟踪算法

张立东1,2,毕笃彦2   

  1. (1. 空军装备研究院地面防空装备研究所,北京 100085;2. 空军工程大学工程学院四系,西安 710038)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-20 发布日期:2006-10-20

Object Tracking Using Improved Histogram Back-projection and Mean-shift

ZHANG Lidong1,2, BI Duyan2   

  1. (1. Dept. of Ground-based Air Defense Equipment, Research Inst. of Air Force Weaponry, Beijing 100085; 2. The Fourth Department, School of Engineering, Air Force Engineering University, Xi’an 710038)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-20 Published:2006-10-20

摘要: 提出了一种改进直方图映射和均值移位结合的目标跟踪算法,根据目标模型各成分直方图比例系数建立索引表,索引号为颜色值,索引内容为颜色对应的归一化目标模型直方图,在索引表中查询输入图像颜色值构建反映目标出现概率灰度图;均值移位算法在生成灰度图中快速定位目标位置。对比实验结果表明,改进的直方图映射算法从根本上抑止模型背景干扰,均值移位算法准确定位目标;系统能实时准确跟踪运动目标。

关键词: 目标跟踪, 改进直方图映射算法, 均值移位算法

Abstract: This problem is relieved in some measure, but not solved fundamentally. An improved back-projection is proposed in this paper that can suppress background interference of object model fundamentally. A normalized histogram is produced in object model. An indexed list is built, the index variable is the gray value and the index content is the histogram value. A back-projection gray image is created by searching the indexed list by the input image color value. Mean-shift finds the local maxima to locate the object near the neighborhood of object center in the previous frame. Experimental results show the algorithm can track the moving object precisely in real-time.

Key words: Object tracking, Improved histogram back-projection, Mean-shift algorithm

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