Multi-layer features template update object tracking algorithm based on SiamFC++

SiamFC++ only extracts the object feature of the first frame as a tracking template, and only uses the highest level feature maps in both the classification branch and the regression branch, so that the respective characteristics of the two branches are not fully utilized. In view of this, the prese...

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Vydané v:	EURASIP journal on image and video processing Ročník 2024; číslo 1; s. 1 - 17
Hlavní autori:	Lu, Xiaofeng, Wang, Xuan, Wang, Zhengyang, Hei, Xinhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Predmet:	Algorithms Artificial Intelligence Based Techniques for Next Generation Image and Video Compression Artificial neural networks Biometrics Classification Engineering Feature extraction Feature maps FPN Fully convolutional Siamese networks Image Processing and Computer Vision Multilayers Mutual information Object tracking Pattern Recognition Signal,Image and Speech Processing Template update Tracking Fully convolutional Siamese networks Object tracking FPN Template update Mutual information
ISSN:	1687-5281, 1687-5176, 1687-5281
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