2D Vision Tracking Methods' Performance Comparison for 3D Tracking of Construction Resources-Reference-Cited by-同舟云学术

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2D Vision Tracking Methods' Performance Comparison for 3D Tracking of Construction Resources

Published:2010-05-04 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2010
language:
Short-container-title:

Author:

Makhmalbaf Atefe,Park Man-Woo,Yang Jun,Brilakis Ioannis,Vela Patricio A.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/41109%28373%2946

Reference10 articles.

1. Morphing active contours

2. Brilakis I. Cordova F. and Clark P. (2008). "Automated 3D vision tracking for project control support." Proc. 15th EG-ICE Workshop Plymouth UK.

3. Construction site image retrieval based on material cluster recognition

4. Kernel-based object tracking

5. Cremers D. (2003). "A variational framework for image segmentation combining motion estimation and shape regularization." IEEE Computer Soc. Conf. on Comp. Vision and Pattern Recognition (CVPR'03) 1-6.

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1. DOA Estimation of Excavation Devices with ELM and MUSIC-Based Hybrid Algorithm;Cognitive Computation;2017-05-08

2. Novel Method of Monocular Real-Time Feature Point Tracking for Tethered Space Robots;Journal of Aerospace Engineering;2014-11

3. Vision-Based Tower Crane Tracking for Understanding Construction Activity;Journal of Computing in Civil Engineering;2014-01

4. Automated Visual Recognition of Dump Trucks in Construction Videos;Journal of Computing in Civil Engineering;2012-11

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