轨迹相似性测度综述

Nehal Magdy, M. Sakr, T. Mostafa, Khaled El-Bahnasy
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引用次数: 68

摘要

可用于跟踪移动对象的设备的可用性急剧增加,导致几乎每个应用领域的移动数据都有很大的增长。因此,人们对提出索引、分类、聚类、查询和测量移动对象数据之间相似性的新方法越来越感兴趣。在广泛的应用领域中,测量两个运动物体轨迹之间的相似性是主要功能之一。在本文中,我们对广泛使用的轨迹相似度量进行了比较研究,观察了这些度量的优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on trajectory similarity measures
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.
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