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    Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 003
    Author:
    Jie Gong
    ,
    Carlos H. Caldas
    DOI: 10.1061/(ASCE)CP.1943-5487.0000027
    Publisher: American Society of Civil Engineers
    Abstract: Videotaping is an effective and inexpensive technique that has long been used in construction to conduct productivity analyzes. However, as schedules of modern construction projects become more and more compressed, the limitation of video-based analysis—intensive manual reviewing process—contrasts sharply with the need for effortless data analysis methods. This paper presents a study on developing a video interpretation model to interpret videos of construction operations automatically into productivity information. More specifically, this research formalizes key concepts and procedures of video interpretation within the construction domain. It focuses on designing a mechanism for furthering the crosstalk between the prior knowledge of construction operations and computer vision techniques. It uses this mechanism to guide the detection and tracking of project resources as well as work state classifications and abnormal production scenario identifications. The resulting approach has the potential to provide a common base for developing automated video interpretation procedures that can greatly improve current data collection and analyzes practices in construction. Experimental results from preliminary studies have shown the potential of the proposed video interpretation method as an improved productivity data analysis method.
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      Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58992
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    contributor authorJie Gong
    contributor authorCarlos H. Caldas
    date accessioned2017-05-08T21:40:16Z
    date available2017-05-08T21:40:16Z
    date copyrightMay 2010
    date issued2010
    identifier other%28asce%29cp%2E1943-5487%2E0000035.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58992
    description abstractVideotaping is an effective and inexpensive technique that has long been used in construction to conduct productivity analyzes. However, as schedules of modern construction projects become more and more compressed, the limitation of video-based analysis—intensive manual reviewing process—contrasts sharply with the need for effortless data analysis methods. This paper presents a study on developing a video interpretation model to interpret videos of construction operations automatically into productivity information. More specifically, this research formalizes key concepts and procedures of video interpretation within the construction domain. It focuses on designing a mechanism for furthering the crosstalk between the prior knowledge of construction operations and computer vision techniques. It uses this mechanism to guide the detection and tracking of project resources as well as work state classifications and abnormal production scenario identifications. The resulting approach has the potential to provide a common base for developing automated video interpretation procedures that can greatly improve current data collection and analyzes practices in construction. Experimental results from preliminary studies have shown the potential of the proposed video interpretation method as an improved productivity data analysis method.
    publisherAmerican Society of Civil Engineers
    titleComputer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations
    typeJournal Paper
    journal volume24
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000027
    treeJournal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 003
    contenttypeFulltext
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