The moving object segmentation approach to vehicle extraction

Chao Jung Chen*, Chung Cheng Chiu, Bing-Fei Wu, Shin Ping Lin, Chia Da Huang

*Corresponding author for this work

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

6 Scopus citations

Abstract

In this study, we propose a moving object segmentation approach based on an efficient and real-time color background extraction. We use the statistical algorithm to obtain the color background and moving objects information efficiently. Then we perform the run-length algorithm to compensate the segmented objects and update the background real-time. The variation of the illuminative condition is also considered in our work. Several experimental results are illustrated to show the advantage of the proposed work on processing time and the segmented result.

Original languageEnglish
Title of host publicationConference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
Pages19-23
Number of pages5
DOIs
StatePublished - 28 Jun 2004
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 21 Mar 200423 Mar 2004

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume1

Conference

ConferenceConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
CountryTaiwan
CityTaipei
Period21/03/0423/03/04

Keywords

  • Background Extraction
  • Moving Object Segmentation

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