Target person identification and following based on omnidirectional camera and LRF data fusion

Mehrez Kristou, Akihisa Ohya, Shin'Ichi Yuta

研究成果: Conference contribution

14 被引用数 (Scopus)

抄録

In this paper, we present the current progress of our approach to identify and follow a target person for a service robot application. The robot is equipped with LRF and Omni directional camera. Our approach is based on multi-sensor fusion in which a person is identified using the panoramic image and tracked using the LRF. The selection of the target person is implemented to improve the identification when multiple candidates are detected. Our approach is successfully implemented on a mobile robot. A simplified target person following behavior is implemented to focus on the proposed method's efficiency. Several experiments are conducted and showed the effectiveness of our approach to identify and follow human in indoor environments.

本文言語English
ホスト出版物のタイトル2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
ページ419-424
ページ数6
DOI
出版ステータスPublished - 2011
外部発表はい
イベント20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011 - Atlanta, GA, United States
継続期間: 2011 7月 312011 8月 3

出版物シリーズ

名前Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011
国/地域United States
CityAtlanta, GA
Period11/7/3111/8/3

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能
  • 人間とコンピュータの相互作用

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