The method of background extraction and background updating based on traffic video

Chao Han, Jia Hao Deng, Min Han

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

Abstract

In order to improve the degree and real-time of the vehicle image detection, a background extraction method based on the probability mean value method and the background update based on the weighted coefficient method through divided area are proposed through the acquisition of real-time traffic information and processing of video images for intelligent transportation systems. Finally a prototype of background extraction and background update is got, and it achieves the detection of moving vehicles. The experimental results show that this method is simple, small amount of calculation and it has a good robustness; it can extract a good background image quickly and detect a complete shadow of vehicles. So this method can meet the requirements of real-time detection of multiple moving targets.

Original languageEnglish
Title of host publicationInformation Technology Applications in Industry II
Pages1299-1304
Number of pages6
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Information Technology and Management Innovation, ICITMI 2013 - Zhuhai, China
Duration: 23 Jul 201324 Jul 2013

Publication series

NameApplied Mechanics and Materials
Volume411-414
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Information Technology and Management Innovation, ICITMI 2013
Country/TerritoryChina
CityZhuhai
Period23/07/1324/07/13

Keywords

  • Background extraction
  • Background update
  • Divided area
  • Intelligent transportation

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