Integrated real-time vision-based preceding vehicle detection in urban roads

Yanwen Chong, Wu Chen, Zhilin Li, Hing Keung William Lam, Qingquan Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper presents a real-time algorithm for a vision-based preceding vehicle detection system. The algorithm contains two main components: vehicle detection with various vehicle features, and vehicle detection verification with dynamic tracking. Vehicle detection is achieved using vehicle shadow features to define a region of interest (ROI). After utilizing methods such as histogram equalization, ROI entropy and mean of edge image, the exact vehicle rear box is determined. In the vehicle tracking process, the predicted box is verified and updated. Test results demonstrate that the new system possesses good detection accuracy and can be implemented in real-time operation.
Original languageEnglish
Title of host publicationAdvanced Intelligent Computing - 7th International Conference, ICIC 2011, Revised Selected Papers
Pages270-275
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
Event7th International Conference on Intelligent Computing, ICIC 2011 - Zhengzhou, China
Duration: 11 Aug 201114 Aug 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6838 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Intelligent Computing, ICIC 2011
Country/TerritoryChina
CityZhengzhou
Period11/08/1114/08/11

Keywords

  • Feature extraction
  • Shadow boundary
  • Vehicle detection
  • Vision tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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