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reidentification

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neelabhro / Subspace-Learning-for-Person-Re-identification

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We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.

matlab metric-learning subspace-learning reidentification
  • Updated Sep 9, 2020
  • MATLAB

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