Motion-based vehicle detection in Hsuehshan Tunnel

Chun Ming Tsai, Jun-Wei Hsieh, Frank Y. Shih

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

3 Scopus citations

Abstract

In this paper, a motion-based vehicle detection is proposed to detect the vehicles in Hsuehshan Tunnel. Camera vision based vehicle detection in the long tunnel is a challenging problem. The video quality emerging from camera is affected by dynamic illumination environment, time variant, camera resolution, camera aging, camera position, camera view angle, heterogeneous camera, and vehicle speed. Besides, the color, shape, size, and appearance of vehicles are very variable. The proposed method provides illumination compensation, moving objects detection, and vehicles identification. Experimental results show that the proposed method can be effective to detect vehicles in Hsuehshan Tunnel with illumination compensation.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Advanced Computational Intelligence, ICACI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages385-389
Number of pages5
ISBN (Electronic)9781467377829
DOIs
StatePublished - 7 Apr 2016
Event8th International Conference on Advanced Computational Intelligence, ICACI 2016 - Chiang Mai, Thailand
Duration: 14 Feb 201616 Feb 2016

Publication series

NameProceedings of the 8th International Conference on Advanced Computational Intelligence, ICACI 2016

Conference

Conference8th International Conference on Advanced Computational Intelligence, ICACI 2016
CountryThailand
CityChiang Mai
Period14/02/1616/02/16

Keywords

  • Hsuehshan tunnel
  • illumination compensation
  • long tunnel
  • vehicle detection
  • vehicle identification

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