Vehicle classification and counting system

Chun Yu Chen, Yu Ming Liang, Sei Wang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Vehicle classification and counting play an important role in the intelligent transportation system, as they may serve to improve traffic congestion and safety problems. Therefore, this study has developed a real-time and vision-based vehicle classification and counting system. This will involve establishing Time-Spatial Images (TSI) from input video, removing the shadow portions in TSI through the use of Support Vector Machine (SVM) and Deterministic Non-Model Based Approach, detecting the Region of Interest (ROI) through a simple morphology process, and finally using the ROI accumulative curve method and Fuzzy Constraints Satisfaction Propagation (FCSP) to process occlusion problems and perform vehicle classification and counting. The experimental results have shown that the proposed method is feasible.

Original languageEnglish
Title of host publicationICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings
EditorsWanggen Wan, Fa-Long Luo, Xiaoqing Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages485-490
Number of pages6
ISBN (Electronic)9781479939022
DOIs
Publication statusPublished - 2015 Jan 13
Event4th International Conference on Audio, Language and Image Processing, ICALIP 2014 - Shanghai, China
Duration: 2014 Jul 72014 Jul 9

Publication series

NameICALIP 2014 - 2014 International Conference on Audio, Language and Image Processing, Proceedings

Conference

Conference4th International Conference on Audio, Language and Image Processing, ICALIP 2014
Country/TerritoryChina
CityShanghai
Period2014/07/072014/07/09

Keywords

  • Fuzzy Constraints Satisfaction Propagation
  • Time-Spatial Images
  • intelligent transportation system
  • vehicle classification and counting

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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