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A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques

Chi, Seokho, Caldas, Carlos, & Kim, Dae Young (2009) A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques. Computer-Aided Civil and Infrastructure Engineering, 24(3), pp. 199-211.

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Abstract

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.

Impact and interest:

22 citations in Scopus
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18 citations in Web of Science®

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ID Code: 41472
Item Type: Journal Article
Keywords: rapid object identification and tracking, spatial modeling, image matching, spatial data acquisition, image matching algorithm
DOI: 10.1111/j.1467-8667.2008.00580.x
ISSN: 1093-9687
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Deposited On: 29 Apr 2011 16:13
Last Modified: 29 Apr 2011 16:13

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