Vision-based traffic measurement system

J. M. Wang; Y. C. Chung; S. C. Lin; S. L. Chang; S. Cherng; S. W. Chen

doi:10.1109/ICPR.2004.1333777

Vision-based traffic measurement system

J. M. Wang^*, Y. C. Chung, S. C. Lin, S. L. Chang, S. Cherng, S. W. Chen

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

In this paper, we present a vision-based traffic measurement system. The system automatically counts the vehicles passing through a designated segment of roadway and measures their speeds. Based on the obtained number of vehicles and their speeds, a variety of traffic parameters are readily calculated. A number of experiments with the video sequences taken under different weather, illumination and traffic conditions have been conducted. The results have revealed that the proposed system could perform well under different conditions.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Editors	J. Kittler, M. Petrou, M. Nixon
Pages	360-363
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1333777
Publication status	Published - 2004
Event	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 2004 Aug 23 → 2004 Aug 26

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	4
ISSN (Print)	1051-4651

Conference

Conference	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	2004/08/23 → 2004/08/26

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2004.1333777

Cite this

Wang, J. M., Chung, Y. C., Lin, S. C., Chang, S. L., Cherng, S., & Chen, S. W. (2004). Vision-based traffic measurement system. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 360-363). (Proceedings - International Conference on Pattern Recognition; Vol. 4). https://doi.org/10.1109/ICPR.2004.1333777

Vision-based traffic measurement system. / Wang, J. M.; Chung, Y. C.; Lin, S. C. et al.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. ed. / J. Kittler; M. Petrou; M. Nixon. 2004. p. 360-363 (Proceedings - International Conference on Pattern Recognition; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, JM, Chung, YC, Lin, SC, Chang, SL, Cherng, S & Chen, SW 2004, Vision-based traffic measurement system. in J Kittler, M Petrou & M Nixon (eds), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 4, pp. 360-363, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 2004/08/23. https://doi.org/10.1109/ICPR.2004.1333777

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author = "Wang, {J. M.} and Chung, {Y. C.} and Lin, {S. C.} and Chang, {S. L.} and S. Cherng and Chen, {S. W.}",

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AU - Chen, S. W.

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AB - In this paper, we present a vision-based traffic measurement system. The system automatically counts the vehicles passing through a designated segment of roadway and measures their speeds. Based on the obtained number of vehicles and their speeds, a variety of traffic parameters are readily calculated. A number of experiments with the video sequences taken under different weather, illumination and traffic conditions have been conducted. The results have revealed that the proposed system could perform well under different conditions.

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Vision-based traffic measurement system

Abstract

Publication series

Conference

ASJC Scopus subject areas

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