Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site-Reference-Cited by-同舟云学术

Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site

Published:2018-07 Issue:7 Volume:144 Page:04018061
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Konstantinou Eirini¹,Brilakis Ioannis²

Affiliation:

1. Ph.D. Candidate, Dept. of Engineering, Univ. of Cambridge, Trumptington St., Cambridge CB2 1PZ, UK (corresponding author).

2. Laing O’Rourke Reader, Dept. of Engineering, Univ. of Cambridge, Trumptington St., Cambridge CB2 1PZ, UK.

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.1943-7862.0001508

Reference39 articles.

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2. Axis Communications. 2016. “More than face value/facial Recognition in video surveillance.” Accessed April 10 2018. http://www.axis.com/ae/en/solutions-by-Application/facial-Recognition.

3. Speeded-Up Robust Features (SURF)

4. Chawla K. G. Robins and L. Zhang. 2010. “Object localization using RFID.” In Proc. IEEE 5th Int. Symp. on Wireless Pervasive Computing 301–306. New York: IEEE.

5. Multi-people tracking across multiple cameras;Cheikh F. A.;Int. J. New Comput. Archit. Their Appl.,2012

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