Bidirectional local template patterns: An effective and discriminative feature for pedestrian detection

Jiu Xu, Ning Jiang, Satoshi Goto

研究成果: Article査読

1 被引用数 (Scopus)

抄録

In this paper, a novel feature named bidirectional local template patterns (B-LTP) is proposed for use in pedestrian detection in still images. B-LTP is a combination and modification of two features, histogram of templates (HOT) and center-symmetric local binary patterns (CS-LBP). For each pixel, B-LTP defines four templates, each of which contains the pixel itself and two neighboring center-symmetric pixels. For each template, it then calculates information from the relationships among these three pixels and from the two directional transitions across these pixels. Moreover, because the feature length of B-LTP is small, it consumes less memory and computational power. Experimental results on an INRIA dataset show that the speed and detection rate of our proposed B-LTP feature outperform those of other features such as histogram of orientated gradient (HOG), HOT, and covariance matrix (COV).

本文言語English
ページ(範囲)1204-1213
ページ数10
ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E96-A
6
DOI
出版ステータスPublished - 2013 6月

ASJC Scopus subject areas

  • 電子工学および電気工学
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 応用数学
  • 信号処理

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