Comparative study of vision tracking methods for tracking of construction site resources

Automation in Construction

Volumn 20, Issue 7, 2011, Pages 905-915

  Park, Man Woo ^a   Makhmalbaf, Atefe ^b   Brilakis, Ioannis ^a  

^a Georgia Institute of Technology   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Comparative studies; Computer vision; Image processing; Remote sensing; Tracking

Indexed keywords

2D VISION; 3-D VISION; 3D POSITIONS; COMPARATIVE STUDIES; CONSTRUCTION APPLICATIONS; CONSTRUCTION OPERATIONS; CONSTRUCTION RESOURCE; CONSTRUCTION SITES; MULTIPLE VIEWS; VISION TRACKING;

CIVIL ENGINEERING; CONSTRUCTION INDUSTRY; IMAGE PROCESSING; REMOTE SENSING; SURFACE DISCHARGES; THREE DIMENSIONAL;

COMPUTER VISION;

EID: 80052836164     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2011.03.007     Document Type: Article

References (28)

1. W.C. Stone, L. Pfeffer, and K. Furlani Automated part tracking on the construction job site Proc. 4th International Conference on Robotics for Challenging Situations and Environments 2000 ASCE Albuquerque, NM 96 103 (Pubitemid 35170593)
2. J. Song, C. Haas, C. Caldas, E. Ergen, and B. Akinci Automating pipe spool tracking in the supply chain Automation in Construction 15 2 2006 166 177
3. J. Teizer, D. Lao, and M. Sofer Rapid automated monitoring of construction site activities using ultra-wideband Proc. ISARC 2007, Construction Automation Group 2007 IAARC I.I.T. Madras 23 28
4. C.H. Caldas, D.G. Torrent, and C.T. Haas Integration of automated data collection technologies for real-time field materials management Proc. ISARC 2004 2004 IAARC Jeju, Korea
5. I. Brilakis, F. Cordova, and P. Clark Automated 3D vision tracking for project control support, in: 15th EG-ICE Workshop 2008 2008 Plymouth UK
6. I. Brilakis, L. Soibelman, and Y. Shinagawa Construction site image retrieval based on material cluster recognition Journal of Advanced Engineering Informatics 20 4 2006 443 452 (Pubitemid 44646893)
7. R. Marfil, L. Molina-Tanco, J.A. Rodriguez, and F. Sandoval Real-time object tracking using bounded irregular pyramids Pattern Recognition Letters 28 2007 985 1001 (Pubitemid 46560875)
8. M.-W. Park, C. Koch, and I. Brilakis Correlating multiple 2D vision trackers for 3D object tracking on construction sites, PM-05-Advancing Project Management for the 21st Century 2010 Crete Greece
9. J. Teizer, and P. Vela Personnel tracking on construction sites using video cameras Advanced Engineering Informatics 23 2009 452 462
10. A. Yilmaz, O. Javed, and M. Shah Object tracking: a survey ACM Computing Survey 38 4 2006
11. H.T. Nguyen, M. Worring, R. van den Boomgaard, and A.W.M. Smeulders Tracking nonparameterized object contours in video IEEE Trans. Image Process 11 9 2002 1081 1091 (Pubitemid 35250391)
12. M. Yokoyama, and T. Poggio A contour-based moving object detection and tracking Proc. ICCCN 2005 2005 IEEE San Diego, CA 271 276 (Pubitemid 46170638)
13. G. Tsechpenakis, N. Tsapatsoulis, and S. Kollias Probabilistic boundary-based contour tracking with snakes in natural cluttered video sequences International Journal of Image and Graphics 4 3 2004 469 498
14. D. Freedman, and T. Zhang Active contours for tracking distributions IEEE Transactions on Image Processing 13 4 2004 518 526
15. A. Makhmalbaf, M.-W. Park, J. Yang, I. Brilakis, and A.V. Vela 2D vision tracking methods' performance comparison for 3D tracking of construction resources 2010 Construction Research Congress Banff, Canada
16. D. Schreiber Generalizing the Lucas-Kanade algorithm for histogram-based tracking Pattern Recognition Letters 29 2008 852 861
17. B. Lucas, and T. Kanade An image registration technique with an application to stereo vision Proc. the International Joint Conference on Artificial Intelligent 1981 William Kaufmann Vancouver 674 679 (Pubitemid 14478744)
18. E. Maggio, and A. Cavallaro Accurate appearance-based Bayesian tracking for maneuvering targets Computer Vision and Image Understanding 113 2009 544 555
19. M. Isard, and A. Blake CONDENSATION-conditional density propagation for visual tracking International Journal on Computer Vision 29 1 1998 5 28 (Pubitemid 128523364)
20. D. Comaniciu, B. Ramesh, and P. Meer Kernel-based object tracking IEEE Trans. Pattern Anal. Mach. Intell. 25 5 2003 564 577
21. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang Incremental learning for robust visual tracking International Journal of Computer Vision 77 1 2008 125 141 (Pubitemid 351294740)
22. I.J. Cox, and S.L. Hingorani An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking IEEE Trans. Pattern Anal. Mach. Intell. 18 2 1996 138 150
23. D.B. Reid An algorithm for tracking multiple targets IEEE Trans. On Automatic Control 24 6 1979 843 854
24. K. Shafique, M. Shah, A non-iterative greedy algorithm for multi-frame point correspondence, in: Proc. ICCV 2003, IEEE, Nice, France, 2003, pp. 110-115.
25. J. Shi, C. Tomasi, Good features to track, in: Proc. CVPR 1994, IEEE, Seattle, WA, 1994, pp. 593-600.
26. E. Arnaud, E. Memin, An efficient Rao-Blackwellized particle filter for object tracking, in: Proc. ICIP 2005, Vol. 2, IEEE, Genoa, Italy, 2005, pp. 426-429. (Pubitemid 44538967)
27. Z. Khan, T. Balch, F. Dellaert, A Rao-Blackwellized particle filter for eigentracking, in: Proc. CVPR 2004, Vol. 2, IEEE, Washington DC, 2004, pp. 980-986.
28. T. Mathes, and J.H. Piater Robust non-rigid object tracking using point distribution manifolds Proc. 28th Annual Symposium of the German Association for Pattern Recognition (DAGM) vol. 4174 2006 Springer Berlin 515 524 (Pubitemid 44608897)