The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 05, 2023
Filed:
Jun. 20, 2023
Wuhan University, Hubei, CN;
Bo Du, Hubei, CN;
Xiaoyang Guo, Hubei, CN;
Yutian Lin, Hubei, CN;
Chao Zhang, Hubei, CN;
Zheng Wang, Hubei, CN;
WUHAN UNIVERSITY, Hubei, CN;
Abstract
This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: s) 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; s) rendering the generated virtual samples according to lighting conditions; s) sampling the rendered virtual samples according to person attributes of target dataset; s) 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. The present invention uses a virtual image generation framework that integrates translation-rendering-sampling to narrow the distribution between virtual images and real images as much as possible to generate virtual samples, and conduct person re-identification model training, which can be effectively and effectively applied to pedestrian datasets in real scenes.