Pedestrian re-identification method based on DCCA fusion features

The invention discloses a pedestrian re-identification method based on DCCA fusion features, and the method is specifically implemented according to the following steps of pre-processing a pedestrianre-identification data set, and adjusting the size of an image to a proper size; respectively carrying out depth feature extraction on the processed pedestrian data set based on a vgg16 deep convolutional neural network and an omni-scale deep convolutional neural network; performing canonical correlation analysis on the extracted depth features, solving respective projection matrixes, and performing feature fusion on the projected features according to a feature fusion strategy; and completing the whole pedestrian re-identification process by using the fused features. According to the pedestrian re-identification method based on DCCA fusion features, the advantages of the vgg16 deep network and the omni-scale deep network are combined, the feature robustness is improved, the features are fused, and meanwhile, redu