SFFSORT Multi-Object Tracking by Shallow Feature Fusion for Vehicle Counting

SFFSORT Multi-Object Tracking by Shallow Feature Fusion for Vehicle Counting

Standard Multi-Object Tracking (MOT) frameworks are currently categorised into three categories: tracking-by-detection, joint detection, and tracking and attention mechanisms. Infrequently, the latter two frameworks require substantial computing resources. The difficulty of implementing real-time tr...

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Bibliographic Details
Main Authors: Tian Zhonglin, Mohd Nadhir Ab Wahab, Muhammad Firdaus Akbar, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Bakhtiar Affendi Rosdi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Intelligent transportation
multi-object tracking
video tracking
deep learning
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10188829/

Internet

https://ieeexplore.ieee.org/document/10188829/

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