Development of a human detecting system based on three-dimensional point cloud - Proposal of a detecting method in the vicinity of a sensor (about 0.3m∼5m)

Yushi Iwama, Yoshinobu Andou

研究成果: Conference contribution

抜粋

In this paper, we present a human detecting system based on three-dimensional(3D) point cloud by discriminating between human and other objects by using range sensor. Although the shape of same objects seen from a sensor according to the difference of distance between the object and a sensor, we divided some areas in the vicinity of a sensor (about 0.3m∼5m) by the difference of distance. Then, we set different detecting conditions in every area. Moreover, we measured shape of human and formulated the detecting condition partly, then we regulated it through experiment in order to detect human regardless of direction of its body. Finally, we tested the system of human detection through some experiments, then we verified its effectiveness even if the height and the place where human is detected are different. This paper details the method we propose and gives some experimental results to verify its effectiveness.

元の言語English
ホスト出版物のタイトルICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings
出版者IEEE Computer Society
ページ1149-1154
ページ数6
ISBN(電子版)9788993215120
DOI
出版物ステータスPublished - 2017 1 24
イベント16th International Conference on Control, Automation and Systems, ICCAS 2016 - Gyeongju, Korea, Republic of
継続期間: 2016 10 162016 10 19

Other

Other16th International Conference on Control, Automation and Systems, ICCAS 2016
Korea, Republic of
Gyeongju
期間16/10/1616/10/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Iwama, Y., & Andou, Y. (2017). Development of a human detecting system based on three-dimensional point cloud - Proposal of a detecting method in the vicinity of a sensor (about 0.3m∼5m). : ICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings (pp. 1149-1154). [7832457] IEEE Computer Society. https://doi.org/10.1109/ICCAS.2016.7832457