The applications of automatic vision detection for the intersections

Chung Cheng Chiu, Sheng Yi Chiu, Meng Liang Chung, Bing-Fei Wu

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

Abstract

The intelligent transportation systems (ITS) aim to provide services to transport and traffic management and supply more information and safer to various users. The visual-based systems are the most popular solutions for ITS due to their highly maintainable, flexible, and intuitive features. This paper uses a background extraction algorithm to extract initial color backgrounds from surveillance video based on an entropy-analysis concept. The moving objects can then be segmented quickly and correctly by a robust object segmentation algorithm. The segmented object can be used to analyze the trajectory and to provide the collision between pedestrian and moving vehicle. A license plate detection algorithm is also provided to detect the license plate in this study.

Original languageEnglish
Title of host publication2013 CACS International Automatic Control Conference, CACS 2013 - Conference Digest
Pages164-169
Number of pages6
DOIs
StatePublished - 1 Dec 2013
Event2013 CACS International Automatic Control Conference, CACS 2013 - Nantou, Taiwan
Duration: 2 Dec 20134 Dec 2013

Publication series

Name2013 CACS International Automatic Control Conference, CACS 2013 - Conference Digest

Conference

Conference2013 CACS International Automatic Control Conference, CACS 2013
CountryTaiwan
CityNantou
Period2/12/134/12/13

Keywords

  • collision detection
  • initial background detection
  • license plate detection
  • object segmentation

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