An intelligent framework for spatio-temporal vehicle tracking

S. C. Chen, Mei-Ling Shyu, C. Zhang

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

33 Scopus citations

Abstract

Recently, the Intelligent Transportation Systems (ITS) have been identified as the new paradigm to address the growing mobility problems, and to alleviate congestion and segment the quality of vehicular flow. This paper presents an intelligent and automatic framework for spatio-temporal vehicle tracking in video sequences in order to provide useful information to the traffic control center. The spatio-temporal relationships of the objects are captured automatically via a proposed unsupervised image/video segmentation method and multimedia input strings. A traffic video sequence is used to demonstrate the effectiveness of the proposed framework to identify and track the vehicle objects in the video sequence.

Original languageEnglish
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Pages213-218
Number of pages6
StatePublished - Jan 1 2001
Externally publishedYes
Event2001 IEEE Intelligent Transportation Systems Proceedings - Oakland, CA, United States
Duration: Aug 25 2001Aug 29 2001

Other

Other2001 IEEE Intelligent Transportation Systems Proceedings
CountryUnited States
CityOakland, CA
Period8/25/018/29/01

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Keywords

  • ATIS
  • ATMS
  • ITS
  • Spatio-temporal relationships
  • Vehicle tracking

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chen, S. C., Shyu, M-L., & Zhang, C. (2001). An intelligent framework for spatio-temporal vehicle tracking. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 213-218)