Multi-scale generative adversarial network-based shielded pedestrian re-identification method

Abstract

The invention discloses a multi-scale generative adversarial network-based shielded pedestrian re-identification method, and relates to a computer vision technology. The method comprises the followingsteps of preparing a pedestrian image training set; designing and training a multi-scale generative adversarial network, with the network comprising a multi-scale generator and a discriminator, withthe multi-scale generator being capable of performing a de-occlusion operation on the random occlusion area to generate a high-quality reconstructed graph; enabling a discriminator to distinguish whether the input image is a real image or a generated image; generating an expanded pedestrian image training set by using the trained multi-scale generator; designing and training a classification recognition network, wherein the network is used for performing identity classification on the input pedestrian images; and extracting features of the pedestrian images by using the trained classificationand recognition network and carrying out similarity matching.

Description

technical field [0001] The invention relates to computer vision technology, in particular to an occluded pedestrian re-identification method based on a multi-scale generation confrontation network. Background technique [0002] Person Re-identification (Person Re-identification) refers to the retrieval of pedestrian images with the same identity from a large-scale pedestrian image database given a query pedestrian image in a scene captured by multiple non-overlapping cameras. Special image retrieval tasks. Pedestrian re-identification is widely used in video surveillance, intelligent security and other fields. The occlusion problem is an important factor affecting the performance of pedestrian re-identification in actual scenes. For example, pedestrians may be occluded by other pedestrians, or by some obstacles, such as vehicles, traffic signs, walls, etc. [0003] Aiming at the problem of pedestrian re-identification in occluded scenes, some researchers proposed to use ra...

AI Technical Summary

Problems solved by technology

When the pose estimation is inaccurate, the performance of person re-identification degrades severely

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