Gait Recognition Using Deep Convolutional Features And Hash Coding
Human gait recognition is the tracking of the people by the way theywalk and the recognizing of human motion. It has gained attention because of its non-invasive and unobtrusive behaviors as well as its applicability in the various areas. Gait recognition is perceived as the most promising biometric...
Saved in:
Main Author: | Pa, Pa Min |
---|---|
Format: | Thesis |
Published: |
2020
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gait recognition with hybrid and ensemble deep learning models
by: Mogan, Jashila Nair
Published: (2023) -
Model-Free Representations for Gait Recognition
by: Lee, Chin Poo
Published: (2015) -
Bimodal Inertial Sensor-Based Gait Analysis Using Orientation And Time-Invariant Features
by: Permatasari, Jessica
Published: (2020) -
Video-based analysis on siblings’ gait biometric
by: Mohd Isa, Wan Noorshahida
Published: (2014) -
Silhouette extraction from gait videos with illumination variates
by: Ibrahim, Amalina
Published: (2018)