MeMu: Metric Correlation Siamese Network and Multi-class Negative Sampling for Visual Tracking

Pattern Recognition(2020)

引用 19|浏览69
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摘要
•A multi-class negative sampling method is proposed for Siamese network, which contains three kinds of negative samples with different amount of background information to better distinguish object and background.•A metric correlation filter module is proposed to learn the filter that can better distinguish object and background through the multi-class negative samples.•We present a Siamese network-based architecture to embed the metric correlation filter module mentioned above.•The proposed tracking algorithm performs favorably against the state-of- the-art methods.
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关键词
Visual tracking,Siamese network,Metric correlation filter,Multi-class negative samples
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