An algorithm using YOLOv4 and DeepSORT for tracking vehicle speed on highway

Authors

Phat Huu Nguyen
School of Electronics and Telecommunications, HUST, Vietnam
Manh Bui Duy
School of Electronics and Telecommunications, HUST, Vietnam
DOI: https://doi.org/10.52549/ijeei.v10i1.3448
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Published: 28-02-2022 • Issue: Vol. 10 No. 1: March 2022 • Section: Computer_&_Informatics

Abstract

Currently, expressways are increasingly developed and expanded. Several highways of Vietnam allow vehicles to travel up to 120 kilometers per hour helping to transport goods quickly and bring a lot of socio-economic benefits. Vehicle monitoring plays an important role in reducing traffic accidents helping to handle violations.The paper proposes a model to identify and monitor car speed on highways. The proposal method uses YOLOv4 combining with DeepSORT for vehicle identification and tracking. We then calculate the speed of car based on video recording and sending back from highway. The execution context is highway where vehicles move very fast. The results show that system meets set requirements with over 90% accuracy and execution times for up to 70 frames per second that is suitable for real systems.
Keywords: YOLOv4; DeepSORT; Object tracking; Tracking vehicle; Highways

Author Biographies

Phat Huu Nguyen
I received his B.E. (2003), M.S. (2005) degrees in Electronics and Telecommunications at Hanoi University of Sceience and Technology (HUST), Vietnam, and Ph.D. degree (2012) in Computer Science at Shibaura Institute of Technology, Japan. Currently, he is lecturer at School of Electronics and Telecommunications, HUST Vietnam. His research interests include digital image and video processing, wireless networks, ad-hoc and sensor network, and intelligent traffic system (ITS) and internet of things (IoT). He received the best conference paper award in SoftCOM (2011), best student grant award in APNOMS (2011), hisayoshi yanai honorary award by Shibaura Institute of Tecnology (SIT)

How to Cite

[1]
P. H. Nguyen and M. B. Duy, “An algorithm using YOLOv4 and DeepSORT for tracking vehicle speed on highway”, IJEEI, vol. 10, no. 1, pp. 90–101, Feb. 2022, doi: 10.52549/ijeei.v10i1.3448.