Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System

被引:93
作者
Park, Man-Woo [1 ]
Koch, Christian [2 ]
Brilakis, Ioannis [1 ]
机构
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
[2] Ruhr Univ Bochum, Fac Civil & Environm Engn, D-44780 Bochum, Germany
基金
美国国家科学基金会; 英国工程与自然科学研究理事会;
关键词
Automation; Imaging techniques; Computer-aided vision system; Models; Information technology; Remote sensing;
D O I
10.1061/(ASCE)CP.1943-5487.0000168
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Vision trackers have been proposed as a promising alternative for tracking at large-scale, congested construction sites. They provide the location of a large number of entities in a camera view across frames. However, vision trackers provide only two-dimensional (2D) pixel coordinates, which are not adequate for construction applications. This paper proposes and validates a method that overcomes this limitation by employing stereo cameras and converting 2D pixel coordinates to three-dimensional (3D) metric coordinates. The proposed method consists of four steps: camera calibration, camera pose estimation, 2D tracking, and triangulation. Given that the method employs fixed, calibrated stereo cameras with a long baseline, appropriate algorithms are selected for each step. Once the first two steps reveal camera system parameters, the third step determines 2D pixel coordinates of entities in subsequent frames. The 2D coordinates are triangulated on the basis of the camera system parameters to obtain 3D coordinates. The methodology presented in this paper has been implemented and tested with data collected from a construction site. The results demonstrate the suitability of this method for on-site tracking purposes. DOI: 10.1061/(ASCE)CP.1943-5487.0000168. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:541 / 549
页数:9
相关论文
共 38 条
[1]  
[Anonymous], P 21 INT S AUT ROB C
[2]  
[Anonymous], 2003, DICTA
[3]  
[Anonymous], P 24 INT S AUT ROB C
[4]  
[Anonymous], 2001, Robotica, DOI DOI 10.1017/S0263574700223217
[5]  
[Anonymous], 2004, P 21 INT S AUT ROB C
[6]  
[Anonymous], P INT C INT AUT SYST
[7]   SURF: Speeded up robust features [J].
Bay, Herbert ;
Tuytelaars, Tinne ;
Van Gool, Luc .
COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 :404-417
[8]  
Bouguet J.-Y., 2004, Camera calibration toolbox for Matlab
[9]   Automated vision tracking of project related entities [J].
Brilakis, Ioannis ;
Park, Man-Woo ;
Jog, Gauri .
ADVANCED ENGINEERING INFORMATICS, 2011, 25 (04) :713-724
[10]  
Brückner M, 2008, VISAPP 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2, P431