Multi-Vehicle Tracking and Counting Framework in Average Daily Traffic Survey Using RT-DETR and ByteTrack-Reference-Cited by-同舟云学术

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Multi-Vehicle Tracking and Counting Framework in Average Daily Traffic Survey Using RT-DETR and ByteTrack

Published:2024 Issue: Volume:12 Page:121723-121737
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gladiensyah Bihanda Yusuf¹^ORCID,Fatichah Chastine¹^ORCID,Yuniarti Anny¹^ORCID

Affiliation:

1. Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Funder

Ministry of Education, Culture, Research, and Technology Republic of Indonesia through the Penelitian Terapan Scheme

patent

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10662942.pdf?arnumber=10662942

Reference55 articles.

1. Part 2—Transportation systems planning;Huntsinger,2022

2. Preliminaries

3. Comparative Analysis of ConvNext and Mobilenet on Traffic Vehicle Detection

4. Vehicle Traffic Volume Counting in CCTV Video with YOLO Algorithm and Road HSV Color Model-based Segmentation System Development

5. Vision-based vehicle detection and counting system using deep learning in highway scenes

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