Multi-View Gait Recognition Based on a Spatial-Temporal Deep Neural Network

Multi-View Gait Recognition Based on a Spatial-Temporal Deep Neural Network

This paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied to multi-view gait recognition. The STDNN comprises a temporal feature network (TFN) and a spatial feature network (SFN). In TFN, a feature sub-network is adopted to extract the low-level edge features of gait s...

Full description

Bibliographic Details
Main Authors: Suibing Tong, Yuzhuo Fu, Xinwei Yue, Hefei Ling
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Multi-view
gait recognition
STG
LSTM
STDNN
Online Access:https://ieeexplore.ieee.org/document/8485345/

Internet

https://ieeexplore.ieee.org/document/8485345/

Similar Items