Real-time multi-object tracking of pedestrians in a video using convolution neural network and Deep SORT

SM Praveenkumar, P Patil, PS Hiremath - ICT Systems and Sustainability …, 2022 - Springer
Multi-Object tracking in video processing is a challenging task in computer vision. Typically,
tracking the objects in a video is performed using binocular vision or top-down camera …

Real-time multiple object tracking using deep learning methods

D Meimetis, I Daramouskas, I Perikos… - Neural Computing and …, 2023 - Springer
Multiple-object tracking is a fundamental computer vision task which is gaining increasing
attention due to its academic and commercial potential. Multiple-object detection …

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 …

Pedestrian multi-target tracking based on YOLOv3

S Tian, J Liu, Y Jin, C Deng - 2020 39th Chinese Control …, 2020 - ieeexplore.ieee.org
Pedestrian multi-object tracking is an important research direction in the fields of computer
vision which has been widely applied in intelligent surveillance, human-computer interaction …

Pedestrian multi-object tracking based on YOLOv7 and BoT-SORT

T Li, Z Li, Y Mu, J Su - Third International Conference on …, 2023 - spiedigitallibrary.org
As a crucial component in the realm of computer vision, multi-object tracking has garnered
widespread application in areas such as autonomous driving, smart transportation, and …

Multi-target tracking of surveillance video with differential YOLO and DeepSort

X Zhang, X Hao, S Liu, J Wang, J Xu… - … conference on digital …, 2019 - spiedigitallibrary.org
With the shortcomings of traditional algorithm in video surveillance on low accuracy, poor
robustness and unable achieved real-time tracking for multi-targets, this paper presents a …

Review of multi-object tracking based on deep learning

J Li, L Zhao, Z Zheng, T Yong - 2022 Asia Conference on …, 2022 - ieeexplore.ieee.org
As a research hotspot and difficulty in the field of computer vision, multi-object tracking
technology has received wide attention from researchers. In recent years, the performance …

Multiple Object Tracking using YOLO-based Detector.

SD Lin, T Chang, W Chen - Journal of Imaging Science & …, 2021 - search.ebscohost.com
In computer vision, multiple object tracking (MOT) plays a crucial role in solving many
important issues. A common approach of MOT is tracking by detection. Tracking by detection …

[HTML][HTML] Multi-Object Detection using Enhanced YOLOv2 and LuNet Algorithms in Surveillance Videos

T Mohandoss, J Rangaraj - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
Multiple object tracking (MOT) in videos benefits multiple applications, including robot
navigation, video surveillance, video analytics, and intelligent transportation systems …

Multi object tracking with UAVs using deep SORT and YOLOv3 RetinaNet detection framework

S Kapania, D Saini, S Goyal, N Thakur, R Jain… - Proceedings of the 1st …, 2020 - dl.acm.org
Over the years, object tracking and detection has emerged as one of the most important
aspects of UAV applications such as surveillance, reconnaissance, etc. In our paper, we …