白蕾.基于meanshift的目标跟踪系统设计与实现[J].电子测量技术,2016,39(4):1-3
基于meanshift的目标跟踪系统设计与实现
Design and realization of the tracking system based on meanshift algorithm
  
DOI:
中文关键词:  计算机视觉  目标跟踪  meanshift算法  Bhattacharyya相似度
英文关键词:computer vision  target tracking  meanshift algorithm  Bhattacharyya similarity function
基金项目:
作者单位
白蕾 陕西工业职业技术学院电气工程学院咸阳712000 
AuthorInstitution
Bai Lei Department of Electrical Engineering, Shaanxi Polytechnic Institute, Xianyang 712000, China 
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中文摘要:
      目标跟踪是指在一段视频序列中寻找和指定目标最相似的部分,是计算机视觉的重要研究内容之一。本文针对视频中运动目标的跟踪问题,提出了一种基于meanshift的目标跟踪方法。在跟踪过程中,先确定出目标窗口并建立目标模型,再在视频序列的第N帧对应位置处计算候选目标模型,根据Bhattacharyya相似度,利用meanshift算法在后续帧中迭代地搜索目标模型的最佳候选区域。最后,在MATLAB平台上搭建了基于meanshift的目标跟踪系统,通过一系列实验表明,该方法具有很好的跟踪性能,且具有较低的时间复杂度,可满足实时处理的需要。
英文摘要:
      Target tracking is to search the most similar parts to target in video sequences,which is an important research in computer vision.Focus on the moving target tracking in video sequences, a method based on meanshift for target tracking is proposed. First, the target area is determined and the target model is constructed in the tracking process. Then, the candidate target model in the Nth frame is calculated. Based on the Bhattacharyya similarity function, meanshift algorithm searches iteratively for the beat candidate area of the target model in the subsequent frames. Finally, the target tracking system based on meanshift algorithm is built with MATLAB, and through a series of experiments show that this method has a good tracking performance, and has low time complexity, which can meet the need of real time processing.
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