Real-time image tracking for automatic traffic monitoring and enforcement applications

Jen Chao Tai*, Shung Tsang Tseng, Ching Po Lin, Kai-Tai Song

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

106 Scopus citations

Abstract

This paper presents an image tracking system and its applications for traffic monitoring and accident detection at road intersections. Locations of motorcycles as well as automobiles are obtained in real time using the active contour model approach. Image measurement is further incorporated with Kalman filtering techniques to track individual vehicle motion. To initialize image tracking of vehicles at a junction, we propose a contour initialization method based on the concept of contour growing. Using a specially designed circuit board, a stand-alone image tracker has been designed and created for automatic traffic monitoring. We successfully achieved real-time image tracking of multi-lane vehicles. Interesting experimental results are presented to demonstrate the effectiveness of the proposed system.

Original languageEnglish
Pages (from-to)485-501
Number of pages17
JournalImage and Vision Computing
Volume22
Issue number6
DOIs
StatePublished - 1 Jun 2004

Keywords

  • Active contour model
  • Image tracking
  • Traffic monitoring

Fingerprint Dive into the research topics of 'Real-time image tracking for automatic traffic monitoring and enforcement applications'. Together they form a unique fingerprint.

Cite this