张量投票在目标跟踪中的应用
Application of Tensor Voting in Object Tracking
DOI: 10.12677/CSA.2015.58036, PDF, HTML, XML, 下载: 2,284  浏览: 10,043 
作者: 邵晓芳, 李大龙：海军航空工程学院青岛校区，山东 青岛
关键词: 目标跟踪；轨迹校正；目标检测；Object Tracking； Track Alignment； Object Detection
摘要: 目标跟踪就是在视频序列的每幅图像中找到所感兴趣的运动目标的位置，建立起运动目标在各幅图像中的联系。在分类总结相关工作的基础上，介绍了张量投票方法在目标跟踪中的应用，给出了算法流程和实验结果并进行了分析和展望。
Abstract: Object tracking is a process to locate an interested object in a series of image, so as to reconstruct the moving object’s track. This paper presents a summary of related works and introduces how to apply the tensor voting method in object tacking. The algorithm’s flowchart and typical experimental result are demonstrated. At last, we analyze the characteristics of the algorithm and suggest some future directions.
文章引用：邵晓芳, 李大龙. 张量投票在目标跟踪中的应用[J]. 计算机科学与应用, 2015, 5(8): 278-284. http://dx.doi.org/10.12677/CSA.2015.58036

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