A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques
Data(s) |
2009
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Resumo |
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. |
Identificador | |
Publicador |
Wiley-Blackwell Publishing, Inc. |
Relação |
DOI:10.1111/j.1467-8667.2008.00580.x 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. |
Fonte |
Faculty of Built Environment and Engineering; School of Urban Development |
Palavras-Chave | #120201 Building Construction Management and Project Planning #rapid object identification and tracking #spatial modeling #image matching #spatial data acquisition #image matching algorithm |
Tipo |
Journal Article |