Company Filing History:
Years Active: 2023
Title: Innovations of Yutian Lin in Pedestrian Re-identification
Introduction
Yutian Lin is an accomplished inventor based in Hubei, China. He has made significant contributions to the field of pedestrian re-identification through his innovative methods. His work focuses on enhancing the accuracy and efficiency of identifying individuals in various environments.
Latest Patents
Yutian Lin holds a patent for a "Pedestrian re-identification method based on virtual samples." This invention proposes a novel approach that includes several steps. First, it involves obtaining virtual persons generated by a game engine and creating virtual samples with person labels by fusing a background of a target dataset with the pose of real individuals through a multi-factor variational generation network. Next, the generated virtual samples are rendered according to specific lighting conditions. The method then samples these rendered virtual samples based on the person attributes of the target dataset. Finally, a training dataset is constructed using the sampled virtual samples to train a pedestrian re-identification model, which is subsequently verified for its identification effectiveness. This innovative framework integrates translation, rendering, and sampling to minimize the distribution gap between virtual and real images, making it highly applicable to pedestrian datasets in real-world scenarios.
Career Highlights
Yutian Lin is affiliated with Wuhan University, where he continues to advance his research and development in the field of pedestrian re-identification. His work has garnered attention for its practical applications and innovative methodologies.
Collaborations
Yutian Lin collaborates with Xiaoyang Guo, contributing to the advancement of their shared research interests and enhancing the impact of their work in the field.
Conclusion
Yutian Lin's contributions to pedestrian re-identification through his innovative patent demonstrate his commitment to advancing technology in this area. His work not only showcases his inventive spirit but also holds promise for real-world applications in improving identification systems.