Feb 5, 2021 · In this paper, we take a Multi-view Gait Generative Adversarial Network (MvGGAN) to generate fake gait samples to extend existing gait datasets, ...

In this paper, we take a Multi-view Gait Generative Adversarial Network (MvGGAN) to generate fake gait samples to extend existing gait datasets, which provides ...

In this work, GAN is taken as a regressor to realize gait transformations to side views, which can be classified into the second type of cross-view gait.

The experimental results on CASIA-B and OUMVLP dataset demonstrate that fake gait samples generated by the proposed MvGGAN method can improve performances ...

Oct 22, 2024 · The proposed MvGGAN method trains a single generator for all view pairs involved in single or multiple datasets. Moreover, we perform domain ...

Aug 20, 2022 · Human gait recognition to recognize persons identities by walking styles, pedestrian walking speed, angle changing, etc. Gait recognition ...

May 1, 2012 · Gait is an attractive biometric feature widely used for human identification because it can be efficiently recognized at a distance. A large ...

Jun 1, 2022 · We proposed a new multi-view gait recognition model based on the generative adversarial network (GAN). Gait recognition has great advantages ...

May 23, 2022 · Gait recognition is a powerful tool for long-distance identification. However, gaits are influenced by walking environments and appearance ...

Oct 20, 2022 · In addition, it describes how different perspectives affect gait characteristics and generate reliable perspective feature relationship factors.