Vehicle detection segmentation based on adaboost and grabcut

  • Yan Gao*
  • , Mingang Chen
  • , Lizhuang Ma
  • *Corresponding author for this work

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

4 Scopus citations

Abstract

Segmentation of moving regions in image sequences is a fundamental step in many vision systems including automated visual surveillance, human-machine interface. In this paper, we combine background subtraction algorithm with adaboost classifier to obtain exact moving areas. Grabcut segmentation is then used to further accurately segment the moving target areas. Our experiments show that our algorithm can achieve high reliability target detection with low false positive rate in complex situations.

Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Pages896-900
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010 - Shanghai, China
Duration: 10 Dec 201012 Dec 2010

Publication series

NameProceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Volume2

Conference

Conference2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Country/TerritoryChina
CityShanghai
Period10/12/1012/12/10

Keywords

  • Adaboost
  • Grabcut
  • Vehicle detection
  • Vehicle segmentation

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