Vehicle tracking based on an improved DeepSORT algorithm and the YOLOv4 framework

I Perera, S Senavirathna, A Jayarathne… - … on Information and …, 2021 - ieeexplore.ieee.org
Vehicle tracking plays an important role in traffic surveillance systems in which efficient traffic
management is the main objective. During the last several decades, with the rapid growth of …

Realtime Vehicle Tracking Method Based on YOLOv5+ DeepSORT

L Lin, H He, Z Xu, D Wu - Computational Intelligence and …, 2023 - Wiley Online Library
In actual traffic scenarios, the environment is complex and constantly changing, with many
vehicles that have substantial similarities, posing significant challenges to vehicle tracking …

Opportunities and challenges in vehicle tracking: a computer vision-based vehicle tracking system

A Zarindast, A Sharma - Data science for transportation, 2023 - Springer
This study proposes a tracking system for the transportation field utilizing state-of-the-art
detection heads and tracking algorithm. We utilize detection heads (YOLO5, FRCNN, DETR) …

Vulnerable road users detection and tracking using yolov4 and deep sort

AH Abdel-Gawad, A Khamis, LA Said… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Over the years, The detection and tracking of Vulnerable Road Users (VRUs) have become
one of the most critical features of self-driving car components. Because of its processing …

Vehicle tracking method based on attention-yolov5 and optimized deepsort models

Z Li, X Tian, Y Liu, X Shi - 2022 IEEE 11th Data Driven Control …, 2022 - ieeexplore.ieee.org
Vehicle tracking plays a vital role in traffic management and autonomous driving. In order to
further improve the accuracy of vehicle tracking, reduce the number of ID-Switch and …

Efficient objects tracking from an unmanned aerial vehicle

I Saetchnikov, V Skakun… - 2021 IEEE 8th …, 2021 - ieeexplore.ieee.org
object tracking is one of the most sophisticated and least researched tasks in computer
vision, especially with respect to unmanned aerial vehicles. Primarily it caused by several …

Research on vehicle tracking method based on UAV video

Y Wu, Y Wang, D Zhang, Z Huang… - … on Internet of Things …, 2022 - spiedigitallibrary.org
In the road video shooting of unmanned aerial vehicle (UAV), the UAV is in an
unconstrained state, and the video picture is jitter and unstable. When tracking multiple …

Real-time tracking of vehicles with siamese network and backward prediction

A Li, L Luo, S Tang - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Tracking of vehicles is a key technique for Intelligent transportation system, which commonly
follows tracking-by-detection strategy. Due to high appearance similarity among vehicles …

Resnet50-yolov2-convolutional neural network based hybrid deep structural learning for moving vehicle tracking under occlusion

L Anuj, MT Gopalakrishna - Solid State Technology, 2020 - mail.solidstatetechnology.us
The exponential rise in software computing and low-cost hardware technologies has
broadened the horizon for the different applications serving human for reliable and efficient …

DeepTracking from Aerial Platforms

A Sivakumar, M Shahid… - … Asian Conference on …, 2021 - ieeexplore.ieee.org
Object tracking is a pivotal part of video processing. Defense based UAVs generally fly at an
altitude of 20,000-30,000 ft. Conventionally, it's quite easy to track objects from a stationary …