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Cooperative detection based on auto-evaluation about multi-source image

  • Northwestern Polytechnical University Xian

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

Abstract

A cooperative drive vector in the paper is proposed on the basis of the three evaluation factors of the target detection, which are area inertia, number inertia and neighborhood similarity. The cooperative detection is performed through the auto-evaluation of target detection results about the cooperative drive vector. The experiments show that the method of automatic evaluation of detection result is effective.

Original languageEnglish
Title of host publicationICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
PagesV2381-V2384
DOIs
StatePublished - 2010
Event2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010 - Chengdu, China
Duration: 16 Apr 201018 Apr 2010

Publication series

NameICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
Volume2

Conference

Conference2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010
Country/TerritoryChina
CityChengdu
Period16/04/1018/04/10

Keywords

  • Auto-evaluation
  • Cooperative detection
  • Feedback
  • Multi-source image

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