Human Gait Recognition: A Single Stream Optimal Deep Learning Features Fusion
Human Gait Recognition (HGR) is a biometric technique that has been utilized for security purposes for the last decade. The performance of gait recognition can be influenced by various factors such as wearing clothes, carrying a bag, and the walking surfaces. Furthermore, identification from differi...
Saved in:
Main Authors: | Faizan Saleem, Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Jung-In Choi, Seifedine Kadry |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/2c45450fa5d14d32b720daf79b9beb0c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
by: Muhammad Attique Khan, et al.
Published: (2021) -
A facial expression recognition method based on face texture feature fusion
by: Tingting GAO, et al.
Published: (2021) -
Real-Time Dorsal Hand Recognition Based on Smartphone
by: Mohamed I. Sayed, et al.
Published: (2021) -
Effect on speech emotion classification of a feature selection approach using a convolutional neural network
by: Ammar Amjad, et al.
Published: (2021) -
A Features Fusion Approach for Neonatal and Pediatrics Brain Tumor Image Analysis Using Genetic and Deep Learning Techniques
by: Prashantha SJ, et al.
Published: (2021)