Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles-Reference-Cited by-同舟云学术

Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles

Published:2013-07 Issue:7 Volume:139 Page:785-794
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Rezazadeh Azar Ehsan¹,Dickinson Sven²,McCabe Brenda³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, Univ. of Toronto, 35 St. George St., Toronto, ON M5S 1A4, Canada (corresponding author).

2. Professor, Dept. of Computer Science, Univ. of Toronto, 6 King’s College Rd., Toronto, ON M5S 3G4, Canada.

3. Associate Professor, Dept. of Civil Engineering, Univ. of Toronto, 35 St. George St., Toronto, ON M5S 1A4, Canada.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0000652

Reference35 articles.

1. Statistical Properties of Construction Duration Data

2. Almassi A. N. and McCabe B. Y. (2008). “Image recognition and automated data extraction in construction.” Proc. Canadian Society of Civil Engineering Annual Conf. Quebec QC Canada Paper GC-568.

3. Barbu A. et al. (2012). “Video in sentences out.” Proc. Conf. on Uncertainty in Artificial Intelligence (UAI) The Association for Uncertainty in Artificial Intelligence (AUAI) Catalina CA.

4. Bradski G. R. (1998). “Real time face and object tracking as a component of a perceptual user interface.” Proc. Applications of Computer Vision IEEE New York 214–219.

5. Automated vision tracking of project related entities

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