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    Vision-Based Tower Crane Tracking for Understanding Construction Activity

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    Author:
    Jun Yang
    ,
    Patricio Vela
    ,
    Jochen Teizer
    ,
    Zhongke Shi
    DOI: 10.1061/(ASCE)CP.1943-5487.0000242
    Publisher: American Society of Civil Engineers
    Abstract: Visual 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 results from a construction surveillance camera show that crane activities are correctly identified.
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      Vision-Based Tower Crane Tracking for Understanding Construction Activity

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    http://yetl.yabesh.ir/yetl1/handle/yetl/59223
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    contributor authorJun Yang
    contributor authorPatricio Vela
    contributor authorJochen Teizer
    contributor authorZhongke Shi
    date accessioned2017-05-08T21:40:42Z
    date available2017-05-08T21:40:42Z
    date copyrightJanuary 2014
    date issued2014
    identifier other%28asce%29cp%2E1943-5487%2E0000250.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59223
    description 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 results from a construction surveillance camera show that crane activities are correctly identified.
    publisherAmerican Society of Civil Engineers
    titleVision-Based Tower Crane Tracking for Understanding Construction Activity
    typeJournal Paper
    journal volume28
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000242
    treeJournal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    contenttypeFulltext
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