Image-based turn ratio measurement at road intersection

Kai-Tai Song*, Jen Chao Tai

*Corresponding author for this work

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

2 Scopus citations

Abstract

The measurement of vehicle turn ratio and based on that a prediction of the probability of a car to make a turn at an intersection are useful information for advanced traffic prediction and control. Conventional vision-based vehicle detection procedures that merely count the number of passing vehicles are not sufficient for turn ratio measurement, because they cannot tell where the vehicles come from at an intersection. This paper presents an image-based system for real-time turn ratio measurement. A method is proposed to estimate automatically the turn ratio of an intersection by using the techniques of detection window and optical flow calculation of motion vectors. A stand-alone image measurement system has been installed at a busy road junction in Hsinchu Science Park. Experimental results reveal that the average measurement error is within 2%.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages1077-1080
Number of pages4
DOIs
StatePublished - 1 Dec 2005
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 11 Sep 200514 Sep 2005

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period11/09/0514/09/05

Keywords

  • Motion vector estimation
  • Optical flow
  • Traffic monitoring
  • Turn ratio
  • Vehicle detection

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  • Cite this

    Song, K-T., & Tai, J. C. (2005). Image-based turn ratio measurement at road intersection. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 1077-1080). [1529941] (Proceedings - International Conference on Image Processing, ICIP; Vol. 1). https://doi.org/10.1109/ICIP.2005.1529941