Pedestrian detection and tracking system based on Deep-SORT, YOLOv5, and new data association metrics

M Razzok, A Badri, I El Mourabit, Y Ruichek, A Sahel - Information, 2023 - mdpi.com
Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

Multi-target pedestrian tracking based on yolov5 and deepsort

Y Wang, H Yang - 2022 IEEE Asia-Pacific Conference on …, 2022 - ieeexplore.ieee.org
Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …

Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques

M Sukkar, M Shukla, D Kumar, VC Gerogiannis… - Information, 2024 - mdpi.com
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

Multi-object pedestrian tracking using improved YOLOv8 and OC-SORT

X Xiao, X Feng - Sensors, 2023 - mdpi.com
Multi-object pedestrian tracking plays a crucial role in autonomous driving systems, enabling
accurate perception of the surrounding environment. In this paper, we propose a …

Detector–tracker integration framework for autonomous vehicles pedestrian tracking

H Wang, L Jin, Y He, Z Huo, G Wang, X Sun - Remote Sensing, 2023 - mdpi.com
Pedestrian tracking is an important aspect of autonomous vehicles environment perception
in a vehicle running environment. The performance of the existing pedestrian tracking …

Online multiple-pedestrian tracking with detection-pair-based graph convolutional networks

W Feng, L Lan, M Buro, Z Luo - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The typical Internet of Things application, unattended driving systems, will need the ability to
recognize relevant traffic participants and detect dangerous situations ahead of time. An …

Pedestrian target tracking based on DeepSORT with YOLOv5

Y Gai, W He, Z Zhou - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Pedestrian target tracking is an important problem in the field of computer vision. To address
low tracking accuracy and tracking errors in pedestrian target tracking. This paper …

Real-time pedestrian tracking based on deep features

G Bhola, A Kathuria, D Kumar… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Multi-object tracking is a significant domain in Computer vision applications, which involves
giving unique identities to different objects, and maintaining the association between them …

Research on pedestrian detection and deepsort tracking in front of intelligent vehicle based on deep learning

X Chen, Y Jia, X Tong, Z Li - Sustainability, 2022 - mdpi.com
In order to improve the tracking failure caused by small-target pedestrians and partially
blocked pedestrians in dense crowds in complex environments, a pedestrian target …

Multiple pedestrian tracking under first-person perspective using deep neural network and social force optimization

Y Xue, Z Ju - Optik, 2021 - Elsevier
Multiple pedestrian tracking in the first-person perspective is a challenging problem,
obstacles of which are mainly caused by camera moving, frequent occlusions, and collision …