A new robust real-time method for extracting human silhouettes from color images

Masanori Yamada, Kazuyuki Ebihara, Jun Ohya

研究成果: Conference contribution

28 被引用数 (Scopus)

抄録

A new method for extracting human silhouettes from color images in real-time regardless of changes in lighting conditions and backgrounds is proposed. In the method, RGB values of each pixel in color images acquired by a CCD camera are converted to YIQ values. Before extracting human silhouettes, the mean YIQ values of each pixel and the threshold values for the Y, I, Q components are obtained in advance from the image sequence acquired by the camera that observed the background. Based on the mean values and the threshold values, each pixel is judged whether it belongs to the human silhouette or not. The proposed method was used with the virtual metamorphosis system, in which anyone can change his or her form to any other form, and the robustness and real-time-ness were confirmed.

本文言語English
ホスト出版物のタイトルProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
出版社IEEE Computer Society
ページ528-533
ページ数6
ISBN(印刷版)0818683449, 9780818683442
DOI
出版ステータスPublished - 1998
外部発表はい
イベント3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
継続期間: 1998 4 141998 4 16

出版物シリーズ

名前Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

Conference

Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
国/地域Japan
CityNara
Period98/4/1498/4/16

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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