Department of Computing and Numerical Analysis, University of Cordoba
Department of Computer Architecture, University of Málaga
Department of Computer Science and Artificial Intelligence, University of Granada
 UCO

CNN for gait recognition

Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Nicolás Pérez de la Blanca

Overview

We release here pretrained models [1] for gait signature extraction from optical flow channels. These models are ready to be used with MatConvNet library on TUM-GAID dataset.


Downloads

Filename Description Size
of-tum.zip CNN model for optical flow - TUM-GAID 141 MB
drawgaitfilters.zip Matlab code to display the convolutional filters stored in the CNN models. 2 KB

Related Publications

[1] F.M. Castro, M. Marin-Jimenez, N. Guil, N. Perez de la Blanca
Automatic learning of gait signatures for people identification
http://arxiv.org/abs/1603.01006, 2016

Acknowledgements

This work has been partially funded by the Research Project TIC-1692 (Junta de Andalucía).