Automatic Tracking Camera System for Construction Machines by Combined Image Processing

Makito Inoue, T. Yoshimi
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引用次数: 2

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.
基于组合图像处理的工程机械自动跟踪摄像系统
灾害造成的破坏地区必须尽快恢复。因此,远程控制的施工机器被用来安全地完成这项危险的工作。在远程施工中,机器操作员总是通过摄像机操作员控制的平移监控摄像机来观看现场的图像。在此基础上,提出了机器操作人员无需摄像机操作人员的摄像机自动控制系统。基于以上需求,我们正在开发一种基于图像处理的施工机械操作人员自动跟踪摄像机控制系统。该系统的难点在于如何通过图像处理实现稳定的室外目标检测。为此,我们提出了一种将“改进模板匹配”和“运动目标检测”相结合的图像处理方法。实验结果表明,该方法提高了外部施工机械跟踪的鲁棒性。
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