Patents by Inventor Yutian LIN

Yutian LIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Pedestrian re-identification method based on virtual samples
    Patent number: 11837007
    Abstract: This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: s1) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model.
    Type: Grant
    Filed: June 20, 2023
    Date of Patent: December 5, 2023
    Assignee: WUHAN UNIVERSITY
    Inventors: Bo Du, Xiaoyang Guo, Yutian Lin, Chao Zhang, Zheng Wang
  • PEDESTRIAN RE-IDENTIFICATION METHOD BASED ON VIRTUAL SAMPLES
    Publication number: 20230334895
    Abstract: This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: sl) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model.
    Type: Application
    Filed: June 20, 2023
    Publication date: October 19, 2023
    Applicant: WUHAN UNIVERSITY
    Inventors: Bo DU, Xiaoyang GUO, Yutian LIN, Chao ZHANG, Zheng WANG