Trajectory Outlier Detection Library
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Trajectory Outlier Detection

Introduction

This is a library for trajectory outlier detection that uses the algorithm presented by Jae-Gil Lee and others in their paper Trajectory Outlier Detection: A Partition-and-Detect Framework [1].

This code is based heavily on the source code made available on Jae-Gil Lee's webpage. The code on on his website is a complete implementation of their algorithm, but like any good research prototype includes little documentation. Additionally, it was written with Microsoft Visual Studio - it uses Windows-specific visualization and proprietary Microsoft C++ structures. Therefore, the goal of this project was to take that implementation and rewrite it to be a cross-platform library.

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[1] Jae-Gil Lee, Jiawei Han, and Xiaolei Li. 2008. Trajectory Outlier Detection: A Partition-and-Detect Framework. In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE '08). IEEE Computer Society, Washington, DC, USA, 140-149.