The vision-based vehicle detection and incident detection system in Hsueh-Shan tunnel

Bing-Fei Wu*, Chih Chung Kao, Chih Chun Liu, Chung Jui Fan, Chao Jung Chen

*Corresponding author for this work

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

10 Scopus citations

Abstract

The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation of the camera setting. The presented vehicle detection algorithm is a block-based approach which is widely used in highway systems, urban roadways or tunnels. Different applications adopt the different detection zones where the vehicles will be tracked and identified in. The presented incident detection algorithm focuses on the car stopped, vehicle lane changing, and congestion condition, and the experimental results in Hsueh-Shan tunnel are addressed, which also demonstrate the stability and the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
Pages1394-1399
Number of pages6
DOIs
StatePublished - 29 Dec 2008
Event2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 - Cambridge, United Kingdom
Duration: 30 Jun 20082 Jul 2008

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
CountryUnited Kingdom
CityCambridge
Period30/06/082/07/08

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  • Cite this

    Wu, B-F., Kao, C. C., Liu, C. C., Fan, C. J., & Chen, C. J. (2008). The vision-based vehicle detection and incident detection system in Hsueh-Shan tunnel. In 2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 (pp. 1394-1399). [4677196] (IEEE International Symposium on Industrial Electronics). https://doi.org/10.1109/ISIE.2008.4677196