TY - GEN
T1 - A Study on Image-based Moving Direction Detection and Camera Control for Construction Machine Automatic Tracking
AU - Sakai, Yu
AU - Inoue, Makito
AU - Yoshimi, Takashi
N1 - Publisher Copyright:
© 2019 Institute of Control, Robotics and Systems - ICROS.
PY - 2019/10
Y1 - 2019/10
N2 - It's necessary to recover quickly after disasters occur. However, the workers can't work in seriously damaged area because there is a possibility of secondary disaster. Therefore, the remote controlled construction machines are used to restore the damaged area. But now, the operator of these machines needs to be helped by a person who operates camera. The camera is manually operated by the operator. So, there is a problem that some persons are assigned to the camera operators and a difference in work efficiency is caused depending on their skill level. In order to solve this problem, we are developing an automatic tracking camera control system for construction machine operators by using image processing. It works well like manual camera operation. However, the reproduction of the skilled camera operation is still not enough. Therefore, we aimed to improve the system. In this paper, to improve the system, we recognized the moving direction of the construction machine from the image by image processing. In addition, using this recognition results, we improved the system to display more suitable image to machine operator according to the recognized moving direction.
AB - It's necessary to recover quickly after disasters occur. However, the workers can't work in seriously damaged area because there is a possibility of secondary disaster. Therefore, the remote controlled construction machines are used to restore the damaged area. But now, the operator of these machines needs to be helped by a person who operates camera. The camera is manually operated by the operator. So, there is a problem that some persons are assigned to the camera operators and a difference in work efficiency is caused depending on their skill level. In order to solve this problem, we are developing an automatic tracking camera control system for construction machine operators by using image processing. It works well like manual camera operation. However, the reproduction of the skilled camera operation is still not enough. Therefore, we aimed to improve the system. In this paper, to improve the system, we recognized the moving direction of the construction machine from the image by image processing. In addition, using this recognition results, we improved the system to display more suitable image to machine operator according to the recognized moving direction.
KW - Image processing
KW - Moving direction detection
KW - Unmanned construction
UR - http://www.scopus.com/inward/record.url?scp=85079098482&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079098482&partnerID=8YFLogxK
U2 - 10.23919/ICCAS47443.2019.8971648
DO - 10.23919/ICCAS47443.2019.8971648
M3 - Conference contribution
AN - SCOPUS:85079098482
T3 - International Conference on Control, Automation and Systems
SP - 302
EP - 306
BT - ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
PB - IEEE Computer Society
T2 - 19th International Conference on Control, Automation and Systems, ICCAS 2019
Y2 - 15 October 2019 through 18 October 2019
ER -