Proceedings of the International Display Workshops Volume 28 (IDW '21)
Dec 1 - Dec 3, 2021Virtual Conference
Proceedings of the International Display Workshops Volume 28 (IDW '21)
Dec 1 - Dec 3, 2021Virtual Conference
[AISp1-1]Real-Time Gender Classification from Gait Features Using Convolutional Neural Networks
*Kazuki Mizutani1(1.Gifu University (Japan))
Keywords:
Gender Classification,Gait Silhouette,Average Gait Image,Convolutional Neural Network
I use walking silhouettes, which are not affected by wearing a mask, to classify gender. With conventional methods, only angle-dependent discriminators existed. However, by using deep learning, I have succeeded in creating a discriminator that does not depend on the angle and has the same accuracy.