An Asymmetric Feature Enhancement Network for Multiple Object Tracking of Unmanned Aerial Vehicle

An Asymmetric Feature Enhancement Network for Multiple Object Tracking of Unmanned Aerial Vehicle

Multiple object tracking (MOT) in videos captured by unmanned aerial vehicle (UAV) is a fundamental aspect of computer vision. Recently, the one-shot tracking paradigm integrates the detection and re-identification (ReID) tasks, striking a balance between tracking accuracy and inference speed. This...

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Bibliographic Details
Main Authors: Jianbo Ma, Dongxu Liu, Senlin Qin, Ge Jia, Jianlin Zhang, Zhiyong Xu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
multiple object tracking
data association
feature enhancement
unmanned aerial vehicle
Online Access:https://www.mdpi.com/2072-4292/16/1/70

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https://www.mdpi.com/2072-4292/16/1/70

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