Adaptive convolutional layer selection based on historical retrospect for visual tracking

Adaptive convolutional layer selection based on historical retrospect for visual tracking

Visual tracking has recently gained a great advance with the use of the convolutional neural network (CNN). Usually, existing CNN‐based trackers exploit the features from a single layer or a certain combination of multiple layers. However, these features only characterise an object from an invariabl...

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Bibliographic Details
Main Authors:	Fuhui Tang, Xiankai Lu, Xiaoyu Zhang, Lingkun Luo, Shiqiang Hu, Huanlong Zhang
Format:	Article
Language:	English
Published:	Wiley 2019-04-01
Series:	IET Computer Vision
Subjects:	invariable aspect scene variation convolutional layer selection method robust appearance representation different convolutional layers tracking prediction
Online Access:	https://doi.org/10.1049/iet-cvi.2018.5194

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