Real-time vehicle tracking on a highway

Wei Lieh Hsu, Hsiao Rong Tyan, Y. U.Ming Liang, Bor Shenn Jeng, Kuo Chin Fan

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We propose a method which can be used to perform real-time tracking of moving vehicles on highways. In addition to tracking regular cars, the proposed method can also track a vehicle performing a lane change. The proposed method consists of two sections: a detection and a tracking. In the detection section, we use entropy-based features to check for the existence of vehicles. Then, we perform tracking based on the entropy features derived in the detection section. By conducting a great number of experiments, we have demonstrated the efficiency as well as the effectiveness of the proposed system.

Original languageEnglish
Pages (from-to)733-752
Number of pages20
JournalJournal of Information Science and Engineering
Volume21
Issue number4
StatePublished - Jul 2005

Keywords

  • Entropy
  • Intelligent transportation system
  • Real-time
  • Surveillance system
  • Vehicle tracking

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