Pedestrian re-identification method and system based on deep learning

• Main Authors: CHEN XUE, LYU XUE
• Format: Patent
• Language: Chinese; English
• Published: 09.08.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a pedestrian re-identification method and system based on deep learning. The method comprises the following steps: acquiring a monitoring video, and decomposing an image frame from the monitoring video; acquiring a clear image frame set which contains the target pedestrian and is not blocked from the image frames, and performing feature extraction on the image frame set by using a convolutional neural network of a pedestrian re-identification model to obtain target pedestrian features; and training a pedestrian re-identification model according to the target pedestrian features, determining training loss of the pedestrian re-identification model, optimizing parameters of the pedestrian re-identification model according to the training loss, and performing pedestrian re-identification by using the optimized pedestrian re-identification model. By adopting the technical scheme of the invention, pedestrian re-identification can be accurately carried out, and the pedestrian identification a