Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations-Reference-Cited by-同舟云学术

Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations

Published:2010-05 Issue:3 Volume:24 Page:252-263
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Gong Jie¹²,Caldas Carlos H.¹²

Affiliation:

1. Assistant Professor, Dept. of Construction, Southern Illinois Univ., Edwardsville, IL 62025.

2. Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, The Univ. of Texas at Austin, 1 University Station C1752, Austin, TX 78712-0273.

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.1943-5487.0000027

Reference29 articles.

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

2. Modeling method-productivity;Adrian J. J.;J. Constr. Div.,1976

3. Trends in productivity improvement in the US construction industry

4. Bjornsson H. and Sagert P. (1994). “Multimedia based system for analyzing production organization.” Proc. 1st Congress held in conjunction with A/E/C System ’94 ASCE Reston Va. 1405–1411.

5. Bolivar A. and Mee A. S. (1997). “Activity analysis using computer-processed time lapse video.” Proc. 5th Construction Congress: Managing Engineered Construction in Expanding Global Markets ASCE Reston Va. 462–469.

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