Symmetrical judgement area reduction and ECoHOG feature descriptor for pedestrian detection

Hirokatsu Kataoka, Yoshimitsu Aoki, Yasuhiro Matsui

研究成果: Article

3 引用 (Scopus)

抜粋

In this study, a method to detect pedestrians using an in-vehicle camera is presented. We improved the technology in detecting pedestrians with highly accurate images using a monocular camera. We were able to predict pedestrians' activities by monitoring them, and we developed an algorithm to recognise pedestrians and their movements more accurately. For the feature descriptor, we found that an Extended Co-occurrence Histogram of Oriented Gradients (ECoHOG) was the best in decreasing both the undetectable and the excessive detectable ratio. Thus, the use of the new method by images captured on the real road was validated.

元の言語English
ページ(範囲)48-60
ページ数13
ジャーナルInternational Journal of Vehicle Safety
6
発行部数1
DOI
出版物ステータスPublished - 2012 8

ASJC Scopus subject areas

  • Automotive Engineering

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