使用基于图的方法检测车辆模式

2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI:10.1109/VAST.2017.8585667

Sirisha Velampalli, Lenin Mookiah, W. Eberle

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引用次数: 0

摘要

在2017年的VAST竞赛中，其中一个挑战是发现车辆交通模式，以了解玫瑰冠蓝Pipit筑巢对数量减少背后的原因。在这项工作中，我们提出了一种基于图的方法来分析数据中的结构模式。我们的方法首先报告数据中的规范模式，然后发现与先前发现的模式相关的任何异常模式。

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Detecting Vehicular Patterns Using a Graph-Based Approach

In the VAST 2017 competition, one of the challenges is to discover vehicular traffic patterns for understanding the reasons behind a decrease in the number of nesting pairs of Rose-Crested Blue Pipit. In this work, we present a graph-based approach that analyzes the data for structural patterns in the data. Our approach first reports the normative patterns in the data, and then discovers any anomalous patterns associated with the previously discovered patterns.

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2017 IEEE Conference on Visual Analytics Science and Technology (VAST)

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