Research on Pedestrian Detection Method Based on the Intersection with Fixed Camera

Xinyu Xu, Zhaosheng Zhang, Wenliang Li, Huachun Tan

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

2 Citations (Scopus)

Abstract

This paper proposed a new pedestrian detection method with depth information based on Histogram of Oriented Gradient and Support Vector Machin. According to the principle of perspective, use the different classifier with different scale in different position of the image to reduce the detection time. At the same time, Adding the Hard Examples to negative sample to decrease the false positive rate and improve the accuracy of detection.

Original languageEnglish
Title of host publicationProceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages311-314
Number of pages4
ISBN (Electronic)9781509035588
DOIs
Publication statusPublished - 2 Jul 2016
Event9th International Symposium on Computational Intelligence and Design, ISCID 2016 - Hangzhou, Zhejiang, China
Duration: 10 Dec 201611 Dec 2016

Publication series

NameProceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Volume1

Conference

Conference9th International Symposium on Computational Intelligence and Design, ISCID 2016
Country/TerritoryChina
CityHangzhou, Zhejiang
Period10/12/1611/12/16

Keywords

  • Feature extraction
  • Intersection
  • Pedestrian detection
  • classification and localization
  • depth information

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