The present disclosure provides a cross-modality person re-identification method based on dual-attribute information, to extract rich semantic information by making full use of data of two modalities, and provides a space construction and attribute fusion algorithm based on text and image attributes. An end-to-end cross-modality person re-identification network based on hidden space and attribute space is constructed to improve semantic expressiveness of a feature extracted by using a model. To resolve a problem of cross-modality person re-identification based on an image and text, a new end-to-end cross-modality person identification network based on the hidden space and the attribute space is proposed, greatly improving the semantic expressiveness of the extracted feature and make full use of the attribute information of a person.
CROSS-MODALITY PERSON RE-IDENTIFICATION METHOD BASED ON DUAL-ATTRIBUTE INFORMATION