Pedestrian Tracking at Signalized Intersections Leveraging Multi-Camera Field of Views Using Covolutional 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/10.1061/9780784485514.043
Reference27 articles.
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2. Fully Convolutional Neural Networks for LIDAR–Camera Fusion for Pedestrian Detection in Autonomous Vehicle;Alfred Daniel J.;Multimedia Tools and Applications,2023
3. Antonio J. and M. Romero. (2018). “Pedestrians’ Detection Methods in Video Images: A Literature Review”. 2018 International Conference on Computational Science and Computational Intelligence (CSCI) 354–360. https://doi.org/10.1109/CSCI46756.2018.00074.
4. Brownson C. D. (1981). “Euclid’s Optics and Its Compatibility with Linear Perspective. Vol. 24 No. 3 pp. 165–194 1981. https://www.jstor.org/stable/41133617.
5. Computer vision and deep learning techniques for pedestrian detection and tracking: A survey;Brunetti A.;Neurocomputing,2018
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