TY - GEN
T1 - Real-Time Vehicle Counting by Deep-Learning Networks
AU - Tsai, Chun Ming
AU - Shih, Frank Y.
AU - Hsieh, Jun Wei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In order to improve the driving safety and reduce traffic congestion during holidays and work hours, a real-time vehicle detection and counting system is a very urgently needed system. In this paper, a lane-based vehicle counting system using deep-learning networks is proposed. Our method includes YOLO vehicle detection and lane-based vehicle counting. From the vehicle detection experimental results, YOLOv3-spp has the highest Precision, Recall, and F1 score, which achieve all 100% among three YOLOv3 methods and two YOLOv2 methods. From the vehicle counting experimental results, YOLOv3-608 has the highest Accuracy, Precision and F1 scores, which achieve 91.4%, 99.3%, and 95.3% among three YOLOv3 methods, two YOLOv2 methods, and one SSD method.
AB - In order to improve the driving safety and reduce traffic congestion during holidays and work hours, a real-time vehicle detection and counting system is a very urgently needed system. In this paper, a lane-based vehicle counting system using deep-learning networks is proposed. Our method includes YOLO vehicle detection and lane-based vehicle counting. From the vehicle detection experimental results, YOLOv3-spp has the highest Precision, Recall, and F1 score, which achieve all 100% among three YOLOv3 methods and two YOLOv2 methods. From the vehicle counting experimental results, YOLOv3-608 has the highest Accuracy, Precision and F1 scores, which achieve 91.4%, 99.3%, and 95.3% among three YOLOv3 methods, two YOLOv2 methods, and one SSD method.
KW - Deep learning
KW - Hsuehshan Tunnel
KW - Vehicle counting
KW - Vehicle detection
UR - http://www.scopus.com/inward/record.url?scp=85142514378&partnerID=8YFLogxK
U2 - 10.1109/ICMLC56445.2022.9941299
DO - 10.1109/ICMLC56445.2022.9941299
M3 - Conference contribution
AN - SCOPUS:85142514378
T3 - Proceedings - International Conference on Machine Learning and Cybernetics
SP - 175
EP - 181
BT - Proceedings of 2022 International Conference on Machine Learning and Cybernetics, ICMLC 2022
PB - IEEE Computer Society
T2 - 21st International Conference on Machine Learning and Cybernetics, ICMLC 2022
Y2 - 9 September 2022 through 11 September 2022
ER -
