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Automatic detection of falling hazard from surveillance videos based on computer vision and building information modeling

Author(s): (Department of Structural Engineering, Tongji University, Shanghai, China)
(Department of Structural Engineering, Tongji University, Shanghai, China)
ORCID (Department of Structural Engineering, Tongji University, Shanghai, China)
(Department of Structural Engineering, Tongji University, Shanghai, China)
(Department of Structural Engineering, Tongji University, Shanghai, China)
(Department of Structural Engineering, Tongji University, Shanghai, China)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 7, v. 18
Page(s): 1-15
DOI: 10.1080/15732479.2022.2039217
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/15732479.2022.2039217.
  • About this
    data sheet
  • Reference-ID
    10660157
  • Published on:
    23/03/2022
  • Last updated on:
    16/06/2022
 
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