Multi-scale generative adversarial network-based shielded pedestrian re-identification method
A pedestrian re-identification, multi-scale technology, applied in the field of computer vision, can solve the problem of pedestrian re-identification performance degradation
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[0051] Below in conjunction with accompanying drawing and embodiment the method of the present invention is described in detail, present embodiment is carried out under the premise of technical solution of the present invention, has provided implementation scheme and specific operation process, but protection scope of the present invention is not limited to following the embodiment.
[0052] see figure 1 and 2 , the embodiment of the present invention includes the following steps:
[0053] 1. Prepare a training set of pedestrian images.
[0054] A1. The original pedestrian image training set is expressed as The corresponding identity label is Among them, m is the number of training samples and is a natural number; x i and y i (1≤y i ≤C) represents the pedestrian image and identity label corresponding to the i-th training sample, C represents the number of identity categories contained in the training sample set and is a natural number; the non-occluded image training ...
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