Automated Traffic Surveillance System with Aerial Camera Arrays Imagery: Macroscopic Data Collection with Vehicle Tracking-Reference-Cited by-同舟云学术

Automated Traffic Surveillance System with Aerial Camera Arrays Imagery: Macroscopic Data Collection with Vehicle Tracking

Published:2017-05 Issue:3 Volume:31 Page:04016072
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zhao Xi¹,Dawson Douglas²,Sarasua Wayne A.³,Birchfield Stanley T.⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634 (corresponding author).

2. Ph.D. Candidate, Dept. of Electrical and Computer Engineering, Clemson Univ., Clemson, SC 29634.

3. Associate Professor, Dept. of Civil Engineering, Clemson Univ., 310B Lowry Hall, Box 340911, Clemson, SC 29634.

4. Associate Professor (now Adjunct), Dept. of Electrical and Computer Engineering, Clemson Univ., Clemson, SC 29634.

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.1943-5487.0000646

Reference27 articles.

1. Angel A. Hickman M. Chandnani D. and Mirchandani P. (2002). “Application of aerial video for traffic flow monitoring and management.” Proc. 7th Int. Conf. on Applications of Advanced Technology in Transportation ASCE Reston VA 346–353.

2. Vehicle detection and tracking in airborne videos by multi-motion layer analysis

3. Chen B. and Medioni G. (2015). “3-D mediated detection and tracking in wide area aerial surveillance.” Proc. 2015 IEEE Winter Conf. on Applications of Computer Vision IEEE Computer Society Los Alamitos CA 396–403.

4. Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks

5. Estimation of a Road Mask to Improve Vehicle Detection and Tracking in Airborne Imagery

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