Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools

Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools

In this paper, we propose to improve trajectory shape analysis by explicitly considering the speed attribute of trajectory data, and to successfully achieve anomaly detection. The shape of object motion trajectory is modeled using Kernel Density Estimation (KDE), making use of both the angle attribu...

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Bibliographic Details
Main Authors: Yuejun Guo, Qing Xu, Peng Li, Mateu Sbert, Yu Yang
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Entropy
Subjects:
trajectory shape analysis
trajectory clustering
anomaly detection
Kernel Density Estimation
Mutual Information
Shannon entropy
Online Access:http://www.mdpi.com/1099-4300/19/7/323

Internet

http://www.mdpi.com/1099-4300/19/7/323

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