Head pose estimation system based on particle filtering with adaptive diffusion control

Kenji Oka, Yoichi Sato, Yasuto Nakanishi, Hideki Koike

研究成果: Conference contribution

27 被引用数 (Scopus)

抄録

In this paper, we propose a new tracking system based on a stochastic filtering framework for reliably estimating the 3D pose of a user's head in real-time. Our system estimates the pose of a user.s head in each image frame whose 3D model is automatically obtained at an initialization step. In particular, our estimation method is designed to control the diffusion factor of a motion model adaptively. This technique contributes significantly to improving the following performance simultaneously: the robust tracking against abrupt head motion and the accurate pose estimation when the user is staring at a point in a scene. The performance of our proposed method has been successfully demonstrated via experiments.

本文言語English
ホスト出版物のタイトルProceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
ページ586-589
ページ数4
出版ステータスPublished - 2005 12月 1
外部発表はい
イベント9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan
継続期間: 2005 5月 162005 5月 18

出版物シリーズ

名前Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

Other

Other9th IAPR Conference on Machine Vision Applications, MVA 2005
国/地域Japan
CityTsukuba Science City
Period05/5/1605/5/18

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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