Yanchen Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yanchen Yang has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Feiyan Cheng
College of Information, Yunnan Normal University, Kunming 650500, China
1 shared publication - Kun Wang
School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China
1 shared publication - Lijun Yun
School of Information, Yunnan Normal University, Kunming 650500, China
1 shared publication - Ruoyu Li
College of Information, Yunnan Normal University, Kunming 650000, China
1 shared publication
Latest Publications
- Open Access
- 10 February 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (4) , 2273
Multi-View Gait Recognition Based on a Siamese Vision Transformer
Although the vision transformer has been used in gait recognition, its application in multi-view gait recognition remains limited. Different views significantly affect the accuracy with which the characteristics of gait contour are extracted and identified. To address this issue, this paper proposes a Siamese mobile vision transformer (SMViT). This model not only focuses on the local characteristics of the human gait space, but also considers the characteristics of long-distance attention associations, which can extract multi-dimensional step status characteristics. In addition, it describes how different perspectives affect the gait characteristics and generates reliable features of perspective–relationship factors. The average recognition rate of SMViT for the CASIA B dataset reached 96.4%. The experimental results show that SMViT can attain a state-of-the-art performance when compared to advanced step-recognition models, such as GaitGAN, Multi_view GAN and Posegait.
- 10 February 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (4) , 2273
Open AccessMulti-View Gait Recognition Based on a Siamese Vision Transformer
Although the vision transformer has been used in gait recognition, its application in multi-view gait recognition remains limited. Different views significantly affect the accuracy with which the characteristics of gait contour are extracted and identified. To address this issue, this paper proposes a Siamese mobile vision transformer (SMViT). This model not only focuses on the local characteristics of the human gait space, but also considers the characteristics of long-distance attention associations, which can extract multi-dimensional step status characteristics. In addition, it describes how different perspectives affect the gait characteristics and generates reliable features of perspective–relationship factors. The average recognition rate of SMViT for the CASIA B dataset reached 96.4%. The experimental results show that SMViT can attain a state-of-the-art performance when compared to advanced step-recognition models, such as GaitGAN, Multi_view GAN and Posegait.