Vision-Based Tower Crane Tracking for Understanding Construction Activity
Vision-Based Tower Crane Tracking for Understanding Construction Activity
复制标题
基于视觉的塔式起重机跟踪,用于了解施工活动
DOI:
10.1061/(asce)cp.1943-5487.0000242
复制
发表时间:
2014
影响因子:
6.9
通讯作者:
Zhongke Shi
中科院分区:
文献类型:
--
作者:
Jun Yang;Patricio Vela;Jochen Teizer;Zhongke Shi
AbstractVisual monitoring of construction worksites through the installation of surveillance cameras has become prevalent in the construction industry. These cameras also are useful 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 workday. In particular, it seeks to demonstrate that the crane jib trajectory, together with known information regarding the site plans, provides sufficient information to infer the activity states of the crane. The jib angle trajectory is tracked by using two-dimensional to three-dimensional rigid pose tracking algorithms. The site plan information includes a process model for the activities and site layout information. A probabilistic graph model for crane activity is designed to process the track signals and recognize crane activity as belonging to one of two categories: concrete pouring and nonconcrete material movement. The experimental result...
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DOI:
10.1061/41182(416)32
发表时间:
2011-06
期刊:
--
影响因子:
--
作者:
Jun Yang;P. Vela;J. Teizer;Zhong-ke Shi
通讯作者:
Jun Yang;P. Vela;J. Teizer;Zhong-ke Shi
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发表时间:
1997-07-01
影响因子:
23.6
作者:
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期刊:
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影响因子:
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通讯作者:
C. Wren;A. Azarbayejani;Trevor Darrell;A. Pentland
DOI:
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发表时间:
2009-10
期刊:
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影响因子:
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通讯作者:
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发表时间:
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期刊:
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影响因子:
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通讯作者:
Richard Hartley;Andrew Zisserman