Finite state machine for vehicle detection in highway surveillance systems

Do Hyunkim, Jangwoo Kwon, Ken Chen, Kyoungho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, a novel vehicle detection approach based on a finite state machine is presented. Vehicle detection is an essential function to build road monitoring and traffic surveillance systems. Based on an analysis of a selected road region, vehicle detection problem is attacked by constructing a finite state machine. The proposed system starts by selecting an AOI and checking statistics inside of the AOI. In the proposed system, the ratio of the foreground mask or the number of lighting pixels in the AOI is calculated and fed into the proposed finite state machine. Simulation results show that the proposed system is simple and robust and can be applicable for highway surveillance systems.

Original languageEnglish
Title of host publicationFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
Pages84-87
Number of pages4
DOIs
StatePublished - 2013
Event19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013 - Incheon, Korea, Republic of
Duration: 30 Jan 20131 Feb 2013

Publication series

NameFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision

Conference

Conference19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
Country/TerritoryKorea, Republic of
CityIncheon
Period30/01/131/02/13

Keywords

  • background subtraction
  • finite state machine
  • vehicle detection
  • video monitoring

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