A Methodology for Object Identification and Tracking in Construction Based on Spatial Modeling and Image Matching Techniques

:  Understanding the motion characteristics of on‐site objects is desirable for the analysis of construction work zones, especially in problems related to safety and productivity studies. This article presents a methodology for rapid object identification and tracking. The proposed methodology conta...

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Bibliographic Details
Published in:Computer-aided civil and infrastructure engineering 2009-04, Vol.24 (3), p.199-211
Main Authors: Chi, Seokho, Caldas, Carlos H., Kim, Dae Young
Format: Article
Language:English
Subjects:
Applied sciences
Buildings. Public works
Construction works
Exact sciences and technology
Site organization
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Summary::  Understanding the motion characteristics of on‐site objects is desirable for the analysis of construction work zones, especially in problems related to safety and productivity studies. This article presents a methodology for rapid object identification and tracking. The proposed methodology contains algorithms for spatial modeling and image matching. A high‐frame‐rate range sensor was utilized for spatial data acquisition. The experimental results indicated that an occupancy grid spatial modeling algorithm could quickly build a suitable work zone model from the acquired data. The results also showed that an image matching algorithm is able to find the most similar object from a model database and from spatial models obtained from previous scans. It is then possible to use the matched information to successfully identify and track objects.
ISSN:1093-9687
1467-8667
DOI:10.1111/j.1467-8667.2008.00580.x