Abstract
The applications of computer vision techniques in civil engineering are becoming increasingly popular with their promising capabilities such as easy and low-cost deployment, contactless measurement solutions and accurate reconstruction of structural finite element models. This paper aims to explore the possibilities of using several computer vision techniques on the reconstruction of load time histories. The motivation is to find a suitable method that could be applied both in the laboratory environment and in the field for the prediction of excessive loads that are exerted upon assembly type structures and specifically on stadiums. Virtual feature extraction and tracking methods are applied on the video recordings of test subjects while jumping and bobbing on structures instrumented with load cells and accelerometers. The results are compared with the sensor based measurements to assess the accuracy levels and feasibility of the methods.
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Celik, O., Dong, CZ., Catbas, F.N. (2019). Measurement of Human Loads Using Computer Vision. In: Pakzad, S. (eds) Dynamics of Civil Structures, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74421-6_25
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DOI: https://doi.org/10.1007/978-3-319-74421-6_25
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