termed as 3D local convolutional neural networks. Our local operations can be combined with any existing architectures. We demonstrate the superiority of local operations on the task of gait ...

Abstract: 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 ...

Gait analysis can also be used in the medical domain for diagnosis and in the sports domain for improving the performance of athletes. In this project, a codebook-based feature encoding technique has ...

Methods: To address this issue, we specifically designed a method combining 3D skeleton data and deep convolutional neural network (DCNN ... Existing Kinect-based methods are only designed for gait ...