The invention discloses a deep Hash pedestrian re-identification method, which comprises the following steps of 1, constructing a deep neural network, wherein the deep neural network comprises a feature learning module and a Hash learning module, the feature learning module adopts a Resnet network, and the Hash learning module comprises a full connection layer and a tanh function layer; 2, training the deep neural network, 1) preparing the pedestrian pictures, and 2) sending the training pictures into the deep neural network for training, including feature learning, Hash learning and loss function learning; 3) carrying out the network optimization and parameter updating; step 3, testing the deep neural network, obtaining a loose hash code through the feature learning module and the hash learning module, and then converting the loose hash code into the strict -1 and 1 codes through a symbol function, and calculating the Euclidean distance between the Hash codes corresponding to the pedestrian pictures in query and gallery to carry out feature matching. The method has the advantages that the pedestrian re-identification accuracy is improved, and the pedestrian re-identification timeis shortened.