Pedestrian re-identification method for generating by utilizing target posture

The invention provides a pedestrian re-identification method for generating by using a target posture, and belongs to the field of computer vision. According to the method, the generative adversarialnetwork is utilized to generate the target pedestrian in the specific posture under the condition of giving the target posture and the pedestrian, the posture is normalized, and then the influence ofthe posture on the pedestrian is eliminated. Specifically, the method is divided into two parts: (1) generating pedestrians in a given posture by utilizing a generative adversarial network under the condition of the given target posture and the pedestrians; (2) performing feature extraction through a feature extraction network by utilizing the generated pedestrian with the target posture and the pedestrian with the real target posture, and then performing feature fusion on the pedestrian with the target posture and the pedestrian with the real target posture to form a feature vector; and carrying out the same operation on the real target posture pedestrian, so that two feature vectors are obtained; finally, performing distance measurement on the obtained feature vector, and combining information of a pedestrian camera. Further the identification performance is improved.