Construction worker detection in video frames for initializing vision trackers

Automation in Construction

Volumn 28, Issue , 2012, Pages 15-25

  Park, Man Woo ^a   Brilakis, Ioannis ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Computer vision; Construction worker; Detection; Image processing; Pattern recognition; Remote sensing; Tracking

Indexed keywords

AUTOMATIC INITIALIZATION; BACKGROUND SUBTRACTION; COLOR HISTOGRAM; CONSTRUCTION WORKERS; DETECTION METHODS; MOVING OBJECTS; VIDEO FRAME; VISION TRACKING;

ERROR DETECTION; GRAPHIC METHODS; IMAGE PROCESSING; PATTERN RECOGNITION; REMOTE SENSING; SURFACE DISCHARGES;

COMPUTER VISION;

EID: 84865332778     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2012.06.001     Document Type: Article

References (48)

1. L. Cable Construction equipment monitoring system Government Product News December 2010 Penton Media (http://govpro.com/products/fleets/management/ construction-equipment-monitoring-201012/)
2. Engineering News-Record Equipment Monitor: Wireless Locator July 2008 The MacGraw-Hill Companies (http://enr.construction.com/products/newProducts/ archives/080723.asp)
3. Engineering News-Record Equipment Tracking: Wireless Monitoring December 2008 The MacGraw-Hill Companies (http://enr.construction.com/products/product- snapshot/2008/1203-productsnapshot.asp)
4. T. Sawyer $1-billion Jigsaw Puzzle Has Builder Modeling Supply Chains Engineering News-Record April 2008 The MacGraw-Hill Companies (http://enr.construction.com/features/technologyEconst/archives/080423-1.asp)
5. I. Brilakis, M.W. Park, and G. Jog Automated vision tracking of project related entities Journal of Advanced Engineering Informatics 25 4 2011 713 724
6. M.W. Park, G. Jog, and I. Brilakis Initializing vision based trackers using semantic texton forests The 28th International Symposium on Automation and Robotics in Construction, Seoul, Korea, Proceedings 2011
7. G. Jog, M.W. Park, and I. Brilakis Truck face recognition using semantic texton forests The ASCE Construction Research Congress, Ontario, Canada, Proceedings 2011
8. S. Chi, and C.H. Caldas Automated object identification using optical video cameras on construction sites Computer-Aided Civil and Infrastructure Engineering 26 5 2011 368 380
9. R. Eecke Greening (and saving) with GPS fleet tracking Construction News Tracker 2010 Cygnus Business Media (http://www.forconstructionpros.com/article/ 10288916/greening-and-saving-with-gps-fleet-tracking)
10. H. Henderson Benefits of machine control Construction Contractor December 2008
11. A.A. Oloufa, M. Ikeda, and H. Oda Situational awareness of construction equipment using GPS, wireless and web technologies Automation in Construction 12 6 2003 737 748
12. M. Lu, W. Chen, X.S. Shen, H.C. Lam, and J.Y. Liu Positioning and tracking construction vehicles in highly dense urban areas and building construction sites Automation in Construction 16 5 2007 647 656
13. C.H. Caldas, D.G. Torrent, and C.T. Haas Integration of automated data collection technologies for real-time field materials management The 21st International Symposium on Automation and Robotics in Construction, Jeju, Korea, Proceedings 2004
14. H.M. Khoury, and V.R. Kamat Evaluation of position tracking technologies for user localization in indoor construction environments Automation in Construction 18 4 2009 444 457
15. Construction Equipment, and DPL America Hyundai selects DPL's asset monitoring solution Construction Equipment December 2010 (http://www. constructionequipment.com/hyundai-selects-dpl%E2%80%99s-asset-monitoring- solution)
16. ForConstructionPros.Com Study shows interference with GPS poses $96 billion threat to US economy Cygnus Business Media June 2011 (http://www.forconstructionpros.com/press-release/10366178/study-shows- interference-with-gps-poses-96-billion-threat-to-us-economy)
17. Engineering News-Record Behind a Murky Name Lurks an Amazing Little Tag April 2008 The MacGraw-Hill Companies (http://enr.construction.com/opinions/ editorials/archives/080423.asp)
18. L.C. Wang Enhancing construction quality inspection and management using RFID technology Automation in Construction 17 4 2008 467 479
19. T. Elghamrawy, and F. Boukamp Managing construction information using RFID-based semantic contexts Automation in Construction 19 8 2010 1056 1066
20. S. Chae, and T. Yoshida Application of RFID technology to prevention of collision accident with heavy equipment Automation in Construction 19 3 2010 368 374
21. C.H. Ko RFID 3D location sensing algorithms Automation in Construction 19 5 2010 588 595
22. E. Ergen, B. Akinci, and R. Sacks Tracking and locating components in a precast storage yard utilizing radio frequency identification technology and GPS Automation in Construction 16 3 2007 354 367
23. T. Sawyer South Korean research in electronic tagging is forging ahead Engineering News-Record April 2008 The MacGraw-Hill Companies (http://enr.construction.com/features/technologyEconst/archives/080423a.asp)
24. K. Gomez Mobile security + remote monitoring Construction Contractor November 2008
25. Engineering News-Record Solor-powered Webcam: Remotely Monitor Job Sites 2008 The MacGraw-Hill Companies (http://enr.construction.com/products/ newProducts/archives/080730.asp)
26. Engineering News-Record Jobsite Monitoring: Remote Camera Keeps an Eye on Projects 2008 The MacGraw-Hill Companies (http://enr.construction.com/ equipment/features/archives/080301-26-2.asp)
27. M.W. Park, A. Makhmalbaf, and I. Brilakis Comparative study of vision tracking methods for tracking of construction site resources Automation in Construction 20 7 2011 905 915
28. M.W. Park, C. Koch, and I. Brilakis 3D tracking of construction resources using an on-site camera system Journal of Computing in Civil Engineering-ASCE 26 4 2012 541 549
29. J. Teizer, and P.A. Vela Personnel tracking on construction sites using video cameras Advanced Engineering Informatics 23 4 2009 452 462
30. J. Yang, O. Arif, P.A. Vela, J. Teizer, and Z.K. Shi Tracking multiple workers on construction sites using video cameras Advanced Engineering Informatics 24 4 2010 428 434
31. J. Gong, and C.H. Caldas Computer vision-based video interpretation model for automated productivity analysis of construction operations Journal of Computing in Civil Engineering 24 3 2010 252 263
32. P. Viola, and M. Jones Rapid object detection using a boosted cascade of simple features 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1, Proceedings 2001 511 518
33. R. Lienhart, and J. Maydt An extended set of Haar-like features for rapid object detection 2002 International Conference on Image Processing Vol. 1, Proceedings 2002 900 903
34. N. Dalal, and B. Triggs Histograms of oriented gradients for human detection 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1, Proceedings 2005 886 893
35. A. Zhu, M.C. Yeh, K.T. Cheng, and S. Avidan Fast human detection using a cascade of histograms of oriented gradients IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings 2006 1491 1498
36. Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139
37. T. Joachims Making large-scale SVM learning practical Advances in Kernel Methods - Support Vector Learning 1999 MIT Press Cambridge, MA, USA 169 184
38. M.J. Swain, and D.H. Ballard Color indexing International Journal of Computer Vision 7 1 1991 11 32
39. Z.H. Zhang, W.H. Li, and B. Li An improving technique of color histogram in segmentation-based image retrieval Fifth International Conference on Information Assurance and Security Vol. 2, Proceedings 2009 381 384
40. C.B. Huang, S.S. Yu, J.L. Zhou, and H.W. Lu Image retrieval using both color and local spatial feature histograms 2004 International Conference on Communication, Circuits, and Systems Vols. 1 and 2 2004 927 931
41. H. Sugano, and R. Miyamoto Parallel implementation of pedestrian tracking using multiple cues on GPGPU 2009 IEEE 12th International Conference on Computer Vision Workshops, Proceedings 2009 900 906
42. W.L. Lu, K. Okuma, and J.J. Little Tracking and recognizing actions of multiple hockey players using the boosted particle filter Image and Vision Computing 27 1-2 2009 189 205
43. N.J.B. Mcfarlane, and C.P. Schofield Segmentation and tracking of piglets in images Machine Vision and Applications 8 3 1995 187 193
44. C. Stauffer, and W.E.L. Grimson Learning patterns of activity using real-time tracking IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 2000 747 757
45. L.Y. Li, W.M. Huang, I.Y.H. Gu, and Q. Tian Foreground object detection in changing background based on color co-occurrence statistics Sixth IEEE Workshop on Applications of Computer Vision, Proceedings 2002 269 274
46. J. Shotton, M. Johnson, and R. Cipolla Semantic texton forests for image categorization and segmentation 2008 IEEE Conference on Computer Vision and Pattern Recognition, Proceedings 2008 1 8
47. T. Cover, and P. Hart Nearest neighbor pattern classification IEEE Transactions on Information Theory 13 1 1967 21 27
48. ANSI/ISEA ANSI/ISEA 107-2010: American national standard for high-visibility safety apparel and headwear 2010 International Safety Equipment Association (ISEA)