Automatic tracking camera system for construction machines by combined image processing

Makito Inoue, Takashi Yoshimi

研究成果: Paper

1 引用 (Scopus)

抜粋

The damaged area caused by disasters must be restored as soon as possible. So, remotely controlled construction machines are used to execute this dangerous work, safely. In the remote construction, machine operators always watch images of the working field from pan-tilt monitoring cameras controlled by camera operators. Then, the automatic camera control system without camera operators is expected for machine operators. Based on the above requirement, we are developing an automatic tracking camera control system for construction machine operators by using image processing. The most difficult point for this system is to realize a stable outdoor object detection by image processing. So, we proposed a new image processing method which is a combination of "Improved template matching" and "Moving object detection". From experimental results, we confirmed that the proposed method is improved about the robustness of outside construction machines tracking.

元の言語English
DOI
出版物ステータスPublished - 2018
イベント35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany
継続期間: 2018 7 202018 7 25

Other

Other35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
Germany
Berlin
期間18/7/2018/7/25

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Building and Construction

フィンガープリント Automatic tracking camera system for construction machines by combined image processing' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Inoue, M., & Yoshimi, T. (2018). Automatic tracking camera system for construction machines by combined image processing. 論文発表場所 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany. https://doi.org/10.22260/isarc2018/0086