Vision-Based Tower Crane Tracking for Understanding Construction Activity-Reference-Cited by-同舟云学术

Vision-Based Tower Crane Tracking for Understanding Construction Activity

Published:2014-01 Issue:1 Volume:28 Page:103-112
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Yang Jun¹,Vela Patricio²,Teizer Jochen³,Shi Zhongke⁴

Affiliation:

1. Assistant Professor, Northwestern Polytechnical Univ., Xi’an 710072, China (corresponding author).

2. Assistant Professor, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332.

3. Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332.

4. Professor, Northwestern Polytechnical Univ., Xi’an 710072, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000242

Reference31 articles.

1. Time Series Analysis for Construction Productivity Experiments

2. Linking Time-Lapse Digital Photography and Dynamic Scheduling of Construction Operations

3. Bolivar A. and Mee A. S. (1997). “Activity analysis using computer-processed time lapse video.” Construction Congress V: Managing Engineered Construction in Expanding Global Markets ASCE Reston VA 462–469.

4. Automated vision tracking of project related entities

5. Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments

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