SiamMFF: UAV Object Tracking Algorithm Based on Multi-Scale Feature Fusion

UAVs have entered various fields of life, and object tracking is one of the key technologies for UAV applications. However, there are various challenges in practical applications, such as the scale change of video images, motion blur and too high shooting angle leading to the tracked objects being t...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.24725-24734
Hauptverfasser:	Hou, Yanli, Gai, Xilin, Wang, Xintao, Zhang, Yongqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous aerial vehicles Blurring Convolution Convolutional neural networks Correlation deformable convolution Deformable models Feature extraction Formability Kernel multi-scale feature fusion Object tracking Search problems Siamese network Tracking unmanned aerial vehicle(UAV)
Online-Zugang:	Volltext
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