Anomaly Detection for Quaternion-Valued Traffic Signals

Li Li Wang, Henry Y T NGAN, Wei Liu, Nelson H.C. Yung

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, a novel anomaly detection method ispresented by using quaternion numbers to model traffic signals. A signal processing approach is proposed to deal with traffic surveillance. Traffic structures are depicted using directed graph models. The relationship among different traffic direction signals are represented through using quaternion numbers instead of individual representation of one particular direction. Multi- granularity local density-based method is adopted to perform anomaly detection for separate entry direction distribution (EDD) signals. Complex traffic signals are subsequently examined by exploring the relationship expressed with quaternion numbers. In such way, the anomaly detection complexity is reduced. Experimental results show that the proposed algorithm can achieve high detection rate. The overall average DSR of both AM and PM sessions is about 97.83%, which is better than the previous algorithm (96.67%) in the literature.

Original languageEnglish
Title of host publication2016 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2016
EditorsAlan Wee-Chung Liew, Jun Zhou, Yongsheng Gao, Zhiyong Wang, Clinton Fookes, Brian Lovell, Michael Blumenstein
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028962
DOIs
Publication statusPublished - 22 Dec 2016
Event2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016 - Gold Coast, Australia
Duration: 30 Nov 20162 Dec 2016

Publication series

Name2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016

Conference

Conference2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016
Country/TerritoryAustralia
CityGold Coast
Period30/11/162/12/16

Scopus Subject Areas

  • Computational Theory and Mathematics
  • Software
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

User-Defined Keywords

  • Anomaly detection
  • density based method
  • directed graph
  • quaternion
  • traffic data
  • traffic surveillance

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