标题:
张量投票在目标跟踪中的应用Application of Tensor Voting in Object Tracking
作者:
邵晓芳, 李大龙
关键字:
目标跟踪, 轨迹校正, 目标检测Object Tracking, Track Alignment, Object Detection
期刊名称:
《Computer Science and Application》, Vol.5 No.8, 2015-09-24
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。
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.