Super-Resolution pedestrian re-identification method based on bidirectional generative adversarial network.

ABSTRACT: In fields such as intelligent security, pedestrian re identification technology is crucial. However, in actual monitoring scenarios, low resolution images generated due to factors such as shooting distance seriously lead to loss of details and decreased recognition performance. To overcome the technical bottleneck of excessive sharpening and artifacts in traditional super-resolution methods for reconstructing pedestrian images, a super-resolution pedestrian re recognition method based on bidirectional generative adversarial networks is proposed. The core innovation of this method lies in the construction of a bidirectional adversarial network architecture that integrates forward super-resolution reconstruction and backward downsampling simulation. By introducing residual residual dense blo

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12829825 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature