Vision-Based Crane Tracking for Understanding Construction Activity
Vision-Based Crane Tracking for Understanding Construction Activity
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DOI：
10.1061/41182(416)32
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
Jun Yang;P. Vela;J. Teizer;Zhong-ke Shi
中科院分区：
文献类型：
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作者：
Jun Yang;P. Vela;J. Teizer;Zhong-ke Shi
通过安装监控摄像机对建筑工地进行可视化监测在建筑行业已变得十分普遍。摄像机在自动观察建筑事件和活动方面也具有实际用途。本文展示了使用监控摄像机评估塔式起重机在一个工作日内的活动情况。分别使用二维 - 三维刚性位姿估计和基于密度的跟踪算法来跟踪起重臂角度和小车位置。设计了一个起重机活动的有限状态机模型来处理跟踪信号，并将起重机活动识别为两类之一：混凝土浇筑和非混凝土材料吊运。来自建筑监控摄像机的实验结果表明，起重机活动被正确识别。
Visual monitoring of construction work sites through the installation of surveillance cameras has become prevalent in the construction industry. Cameras also have practical utility for automatic observation of construction events and activities. This paper demonstrates the use of a surveillance camera for assessing tower crane activities during the course of a work day. The jib angle and the trolley position are tracked using 2D-3D rigid pose estimation and density-based tracking algorithms, respectively. A finite-state machine model for crane activity is designed to process the track signals and recognize crane activity as belonging to one of the two categories: concrete pouring and non-concrete material movement. Experimental results from a construction surveillance camera show that crane activities are correctly identified.