Multiple-human tracking using multiple cameras

Akira Utsumi, Hiroki Mori, Jun Ohya, Masahiko Yachida

研究成果: Conference contribution

34 被引用数 (Scopus)

抄録

We propose a human motion detection method using multiple-viewpoint images. In vision-based human tracking, self-occlusions and human-human occlusions are a part of the more significant problems. Employing multiple viewpoints and a viewpoint selection mechanism, however, can reduce these problems. The vision system in this case should select the best viewpoints for extracting human motion information; the "best" selections can be changed among different types of target information. We address the problem of tracking human bodies. We divide the task into three primitive sub-tasks (position detection, rotation angle detection and body side detection). Each sub-task has a different criterion for selecting viewpoints and an estimation result of one sub-task can help another sub-task. We describe the criteria for accomplishing the individual sub-tasks and the relationships between sub-tasks. We have built an experimental system based on a small number of reliable image features and performed fundamental examinations on the viewpoint selection approach.

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498-503
ページ数6
ISBN(印刷版)0818683449, 9780818683442
DOI
出版ステータスPublished - 1998 1月 1
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月 141998 4月 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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