An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

Current multi-target multi-camera tracking algorithms demand increased requirements for re-identification accuracy and tracking reliability. This study proposed an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism o...

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Bibliographic Details
Main Authors: Yong Hong, Deren Li, Shupei Luo, Xin Chen, Yi Yang, Mi Wang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
transformer
self-attention
multi-view multi-scale
end-to-end
multi-target tracking
raster semantic map
Online Access:https://www.mdpi.com/2072-4292/14/24/6354

Internet

https://www.mdpi.com/2072-4292/14/24/6354

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