Embodiments of the present invention provides a cross-modal person re-identification method. The method comprises: inputting a person image having an identifier into a cross-modal feature extraction model; determining a cross-modal generalization feature, an infrared single-modal generalization feature, and an RGB single-modal generalization feature of the person image having an identifier; and calculating similarities of an image feature, on which cross-modal person re-identification is to be performed, with the cross-modal generalization feature, the infrared single-modal generalization feature, and the RGB single-modal generalization feature to perform person re-identification. The cross-modal feature extraction model comprises a feature extraction module, a modal batch normalization identity embedding module, and a single-modal identity embedding module, so that an extracted image feature has strong generalization; in addition, a cross-modal generalization feature, an infrared single-modal generalization feature, and an RGB single-modal generalization feature of an image can be accurately extracted, and similarities of an image feature, on which cross-modal person re-identification is to be performed, with the cross-modal generalization feature, the infrared single-modal generalization feature, and the RGB single-modal generalization feature are determined to accurately obtain an identification result.
CROSS-MODAL PERSON RE-IDENTIFICATION METHOD AND DEVICE