Pedestrian re-identification method, computer device and readable medium

A computer device, wherein the device comprises:

• one or more processors,
• a memory for storing one or more programs,
• the one or more programs, when executed by said one or more processors, enable said one or more processors to implement a pedestrian re-identification method, wherein the method comprises:
• collecting a target image and a to-be-identified image including a pedestrian image;
• obtaining a feature expression of the target image and a feature expression of the to-be-identified image respectively, based on a pre-trained feature extraction model;
• wherein the feature extraction model is obtained by training based on a self-attention feature of a base image as well as a co-attention feature of the base image relative to a reference image, wherein a feature complying with a search expression of the base image is obtained, from a basic feature expression of the base image, as the self-attention feature of the base image, wherein the search expression of the base image is obtained by performing a global pooling operation for the basic feature expression of the base image to obtain global feature expressions, and then performing feature transformation;
• identifying whether a pedestrian in the to-be-identified image is the same pedestrian as that in the target image according to the feature expression of the target image and the feature expression of the to-be-identified image.

A non-transitory computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements a pedestrian re-identification method, wherein the method comprises:

• collecting a target image and a to-be-identified image including a pedestrian image;
• obtaining a feature expression of the target image and a feature expression of the to-be-identified image respectively, based on a pre-trained feature extraction model;
• wherein the feature extraction model is obtained by training based on a self-attention feature of a base image as well as a co-attention feature of the base image relative to a reference image, wherein a feature complying with a search expression of the base image is obtained, from a basic feature expression of the base image, as the self-attention feature of the base image, wherein the search expression of the base image is obtained by performing a global pooling operation for the basic feature expression of the base image to obtain global feature expressions, and then performing feature transformation;
• identifying whether a pedestrian in the to-be-identified image is the same pedestrian as that in the target image according to the feature expression of the target image and the feature expression of the to-be-identified image.