Vehicle-to-Vehicle Conflicts Detection at Signalized Intersections: Leveraging Multi-Cameras Utilizing Convolutional Neural Network-Based Pose Estimation Algorithm
Author:
Affiliation:
1. Dept. of Civil and Architectural Engineering and Construction Management, Univ. of Cincinnati, Cincinnati, OH.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485514.042
Reference24 articles.
1. Using Closed-Circuit Television Cameras to Analyze Traffic Safety at Intersections Based on Vehicle Key Points Detection;Abdel-Aty M.;Accident Analysis and Prevention,2022
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3. Beymer D. P. Mclauchlan B. Coifman and J. Malik. (1997). “A real-time computer vision system for measuring traffic parameters " Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition San Juan PR USA pp. 495–501 https://doi.org/10.1109/CVPR.1997.609371.
4. Tracking Video Objects in Cluttered Background;Cavallaro A.;IEEE Transactions on Circuits and Systems for Video Technology,2005
5. Dahlkamp H. A. E. C. Pece A. Ottlik and H.-H. Nagel. (2004). “Differential Analysis of Two Model-Based Vehicle Tracking Approaches”. DAGM-Symposium.
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