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3D Matching of Resource Vision Tracking Trajectories

Accepted version
Peer-reviewed

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Conference Object

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Authors

Konstantinou, Erini 

Abstract

Three-dimensional (3D) paths of resources have been proposed in construction management, as an efficient way for measuring labor productivity. These paths are either extracted by using sensors such as global positioning system (GPS), radio frequency identification (RFID), and ultra-wideband (UWB), or based on cameras placed at jobsites for surveillance purposes. However, the tag-based methods are seriously limited by privacy conflicts since they are not welcome from the personnel. On the other hand, the computer vision based methods have not achieved full automation in measuring labour productivity because they require prior knowledge of the type of tasks performed in specific working zones. This is associated with the lack of depth information. For this purpose, this paper proposes a computationally efficient computer vision method for matching construction workers across different frames. Entity matching is a process that corresponds to a compulsory step prior to the calculation of the 3D position. The proposed matching method, is based on epipolar geometry, template and motion similarity features. The main result of this process is to provide a method for the acquisition of the 3D paths that compose the detailed profile of a construction activity in terms of both time and space.

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Keywords

33 Built Environment and Design, 40 Engineering, 4005 Civil Engineering, 46 Information and Computing Sciences, 3302 Building, 8 Decent Work and Economic Growth

Journal Title

CONSTRUCTION RESEARCH CONGRESS 2016: OLD AND NEW CONSTRUCTION TECHNOLOGIES CONVERGE IN HISTORIC SAN JUAN

Conference Name

Proc. of the 2016 ASCE Construction Research Congress, San Juan, Puerto Rico

Journal ISSN

Volume Title

Publisher

https://ascelibrary.org/doi/10.1061/9780784479827.174
Sponsorship
Engineering and Physical Sciences Research Council (EP/I019308/1)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (EP/L010917/1)