Skeleton based gait recognition for long and baggy clothes
Human gait is a significant biometric feature used for the identification of people by their style of walking. Gait offers recognition from a distance at low resolution while requiring no user interaction. On the other hand, other biometrics are likely to require a certain level of interaction. In t...
Main Authors: | Alharbi Abrar, Alharbi Fahad, Kamioka Eiji |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/26/matecconf_jcmme2018_03005.pdf |
Similar Items
-
Animal species classification using machine learning techniques
by: Alharbi Fahad, et al.
Published: (2019-01-01) -
Endoscopic retrieval of baggies in body stuffers
by: Mahtab Shabani, et al.
Published: (2016-03-01) -
The conodont faunas of the Baggy and Pilton Beds, North Devon
by: Williams, J. A.
Published: (1971) -
Baggy monsters in iron cages : The Ragged Trousered Philanthropists' and the literary realism
by: Smith-Rawnsley, John Michael
Published: (2005) -
Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition
by: Kooksung Jun, et al.
Published: (2020-01-01)