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

被引：65

作者：

Chi, Seokho ^{[1
]}

Caldas, Carlos H. ^{[1
]}

Kim, Dae Young ^{[1
]}

机构：

[1] Univ Texas Austin, Dept Civil Environm & Architectural Engn, Austin, TX 78712 USA

来源：

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING | 2009年 / 24卷 / 03期

基金：

美国国家科学基金会;

关键词：

ALGORITHM; SYSTEM; WINDOW;

D O I：

10.1111/j.1467-8667.2008.00580.x

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：199 / 211

页数：13

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