Histogram of template for human detection

Shaopeng Tang*, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

36 被引用数 (Scopus)

抄録

In this paper, we propose a novel feature named histogram of template (HOT) for human detection in still images. For every pixel of an image, various templates are defined, each of which contains the pixel itself and two of its neighboring pixels. If the intensity and gradient values of the three pixels satisfy a pre-defined function, the central pixel is regarded to meet the corresponding template for this function. Histograms of pixels meeting various templates are calculated for a set of functions, and combined to be the feature for detection. Compared to the other features, the proposed feature takes intensity as well as the gradient information into consideration. Besides, it reflects the relationship between 3 pixels, instead of focusing on only one. Experiments for human detection are performed on INRIA dataset, which shows the proposed HOT feature is more discriminative than histogram of orientated gradient (HOG) feature, under the same training method.

本文言語English
ホスト出版物のタイトルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ページ2186-2189
ページ数4
DOI
出版ステータスPublished - 2010
イベント2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX
継続期間: 2010 3月 142010 3月 19

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CityDallas, TX
Period10/3/1410/3/19

ASJC Scopus subject areas

  • 信号処理
  • ソフトウェア
  • 電子工学および電気工学

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