Automatic tracking camera system for construction machines by combined image processing

Makito Inoue, Takashi Yoshimi

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Publication statusPublished - 2018 Jan 1
Event35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 - Berlin, Germany
Duration: 2018 Jul 202018 Jul 25

Other

Other35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018
CountryGermany
CityBerlin
Period18/7/2018/7/25

Fingerprint

Image processing
Cameras
Control systems
Template matching
Disasters
Monitoring
Object detection

Keywords

  • Camera tracking
  • Image processing
  • Unmanned construction

ASJC Scopus subject areas

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

Cite this

Inoue, M., & Yoshimi, T. (2018). Automatic tracking camera system for construction machines by combined image processing. Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany.

Automatic tracking camera system for construction machines by combined image processing. / Inoue, Makito; Yoshimi, Takashi.

2018. Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany.

Research output: Contribution to conferencePaper

Inoue, M & Yoshimi, T 2018, 'Automatic tracking camera system for construction machines by combined image processing' Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany, 18/7/20 - 18/7/25, .
Inoue M, Yoshimi T. Automatic tracking camera system for construction machines by combined image processing. 2018. Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany.
Inoue, Makito ; Yoshimi, Takashi. / Automatic tracking camera system for construction machines by combined image processing. Paper presented at 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018, Berlin, Germany.
@conference{e89893a3b6ba4d16bed4ae168cd838ea,
title = "Automatic tracking camera system for construction machines by combined image processing",
abstract = "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.",
keywords = "Camera tracking, Image processing, Unmanned construction",
author = "Makito Inoue and Takashi Yoshimi",
year = "2018",
month = "1",
day = "1",
language = "English",
note = "35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things, ISARC 2018 ; Conference date: 20-07-2018 Through 25-07-2018",

}

TY - CONF

T1 - Automatic tracking camera system for construction machines by combined image processing

AU - Inoue, Makito

AU - Yoshimi, Takashi

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Camera tracking

KW - Image processing

KW - Unmanned construction

UR - http://www.scopus.com/inward/record.url?scp=85053937934&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053937934&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85053937934

ER -