3D Local Convolutional Neural Networks for Gait Recognition. Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua. In this work, we present a new building block ...

I have written this code for this research paper. It uses Keras with Tensorflow as backend. It uses CASIA-B Dataset to do subject subject\person classification using 3-D Convolution Networks on Gait ...

The goal of gait recognition is to learn the unique spatiotemporal pattern about the human body shape from its temporal changing characteristics. As different body parts behave differently during ...

On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition. IEEE Transactions on Circuits and Systems for Video Technology , 2017; 1 DOI: 10.1109/TCSVT.2017. ...