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Review on trajectory similarity measures

机译:轨迹相似性测评

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摘要

The availability of devices that can be used to track moving objects has increased dramatically leading to a great growth in movement data from almost every application domain. Therefore, there has been an increasing interest in proposing new methodologies for indexing, classifying, clustering, querying and measuring similarity between moving objects' data. One of the main functions for a wide range of application domains is to measure the similarity between two moving objects' trajectories. In this paper, we present a comparative study between widely used trajectory similarity measures observing the advantages and disadvantages of these measures.
机译:可用于跟踪运动对象的设备的可用性已大大提高,从而导致来自几乎每个应用程序域的运动数据都大大增长。因此,对于提出用于对运动对象的数据之间的索引,分类,聚类,查询和测量相似性的新方法提出越来越多的兴趣。广泛的应用领域的主要功能之一是测量两个运动物体的轨迹之间的相似度。在本文中,我们将对广泛使用的轨迹相似性度量进行比较研究,以观察这些度量的优缺点。

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