Feature point tracking for incomplete trajectories
Feature point tracking for incomplete trajectories
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DOI：
10.1007/s006070050027
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发表时间：
1999-01-01
期刊：
影响因子：
3.7
通讯作者：
Verestóy, J
中科院分区：
文献类型：
--
作者：
Chetverikov, D;Verestóy, J
提出了一种基于特征点的长序列图像运动跟踪算法。动态场景与多个，独立移动的对象被认为是其中的特征点可能会暂时消失，进入和离开视场。现有的特征点跟踪方法在处理不完整轨迹时能力有限，特别是当特征点数量和速度较大，且轨迹模糊频繁时。该算法的目的是有效地解决这些歧义。移动点之间的对应关系是在竞争性链接过程中建立的，该过程随着轨迹的增长而发展。出现和消失的点被视为在一个自然的方式，不连接的点，所提出的算法相比，毫不逊色，在性能评估研究中选择和测试的有效的替代算法。
A new algorithm is presented for feature point based motion tracking in long image sequences. Dynamic scenes with multiple, independently moving objects are considered in which feature points may temporarily disappear, enter and leave the view field. This situation is typical for surveillance and scene monitoring applications.Most of the existing approaches to feature point tracking have limited capabilities in handling incomplete trajectories, especially when the number of points and their speeds are large, and trajectory ambiguities are frequent. The proposed algorithm was designed to efficiently resolve these ambiguities. Correspondences between moving points are established in a competitive linking process that develops as the trajectories grow. Appearing and disappearing points are treated in a natural way as the points that do not link.The proposed algorithm compares favorably to efficient alternative algorithms selected and tested in a performance evaluation study.