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Cross-mode pedestrian re-identification method and system based on a heterogeneous hierarchical attention mechanism

The invention provides a cross-modal pedestrian re-identification method and system based on a heterogeneous hierarchical attention mechanism, and the method comprises the steps: extracting pedestrianimage features and text description features, and enabling the pedestrian image features and the text description features to serve as initial global features of a pedestrian image channel and a textdescription channel; Establishing a heterogeneous hierarchical attention model, and enhancing pedestrian picture features and text description features by using a bidirectional cross-mode fine-grained matching attention mechanism and a context-guided local feature aggregation attention mechanism by the model; A heterogeneous hierarchical attention model is trained in a two-stage training mode, preliminary training is carried out in the first stage by utilizing pedestrian category supervision information, training in the second stage is carried out by utilizing cross-modal samples to match thepedestrian category supervision information on the basis, and pedestrian re-identification is carried out by utilizing the trained model. The pedestrian re-identification method and device can improve the accuracy of pedestrian re-identification.
Owner:中科人工智能创新技术研究院(青岛)有限公司
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