Robust Visual Tracking via Semiadaptive Weighted Convolutional Features.

IEEE Signal Processing Letters(2018)

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摘要
In recent years, hierarchical features extracted from convolutional neural network (CNN) for robust visual tracking have been developed by several methods. As features from different layers characterize different information of target and are set fixed weighted parameters, the performance of traditional visual tracking methods based on CNN can be further improved. In this letter, we propose a nove...
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关键词
Target tracking,Correlation,Visualization,Convolution,Feature extraction,Robustness
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