Deep Hybrid Similarity Learning for Person Re-identification.

IEEE Transactions on Circuits and Systems for Video Technology(2018)

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摘要
Person re-identification (Re-ID) aims to match person images captured from two non-overlapping cameras. In this paper, a deep hybrid similarity learning (DHSL) method for person Re-ID based on a convolution neural network (CNN) is proposed. In our approach, a light CNN learning feature pair for the input image pair is simultaneously extracted. Then, both the elementwise absolute difference and mul...
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关键词
Euclidean distance,Convolution,Neural networks,Feature extraction,Correlation,DH-HEMTs
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