Learning to cluster person via graph convolution networks for video‐based person re‐identification
Wei Li,
Tao Feng,
Guodong Du
et al.
Abstract:SummaryUnsupervised person re‐identification based on video sequences can be applied to surveillance systems and is attracting much more attention. It aims to spot specific person in other scenes captured by different cameras. This work explores an innovative strategy, namely, learning to cluster unlabeled person in the videos through graph convolutional networks. In this article, we find that the possibility of inter‐frame linkage can be inferred from context. Therefore, a pose‐guided topology linkage cluster… Show more
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