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Target detection based on binocular stereo vision

  • Xiaopeng Cui
  • , Mingjiang Wang
  • , Binwen Fan*
  • , Jingyu Yi
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

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

Abstract

This paper mainly studies the target detection algorithm based on binocular camera. In this paper, the binocular RGB camera is used to detect the foreground of the human body in the indoor scene. Firstly, the right and left images are corrected by the binocular calibration. Then, the stereo matching is carried out by using the corrected image, and the most suitable stereo matching algorithm will be selected. After that, the depth map obtained by stereo matching algorithm is proposed. Finally, combining with the color information of monocular camera, the separation of the target to be detected from the background is realized.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Computer Technology, Electronics and Communication, ICCTEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1093-1097
Number of pages5
ISBN (Electronic)9781538657843
DOIs
StatePublished - Dec 2017
Externally publishedYes
Event2017 International Conference on Computer Technology, Electronics and Communication, ICCTEC 2017 - Dalian, China
Duration: 18 Dec 201720 Dec 2017

Publication series

NameProceedings - 2017 International Conference on Computer Technology, Electronics and Communication, ICCTEC 2017

Conference

Conference2017 International Conference on Computer Technology, Electronics and Communication, ICCTEC 2017
Country/TerritoryChina
CityDalian
Period18/12/1720/12/17

Keywords

  • Binocular camera
  • Stereo matching
  • Stereo rectification
  • Target detection

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