Skeleton-based action recognition with joint coordinates as feature using neural oblivious decision ensembles
Recognition of human behavior is critical in video monitoring, human-computer interaction, video comprehension, and virtual reality. The key problem with behaviour recognition in video surveillance is the high degree of variation between and within subjects. Numerous studies have suggested backgroun...
Published in: | Frontiers in Artificial Intelligence and Applications |
---|---|
Main Author: | Nasrualam F.A.H.; Shapiai M.I.; Batool U.; Ramli A.K.; Elias K.A. |
Format: | Conference paper |
Language: | English |
Published: |
IOS Press BV
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116447202&doi=10.3233%2fFAIA210037&partnerID=40&md5=6e206eba5ca482f2222fa55657bd3752 |
Similar Items
-
Human gait recognition using skeleton joint coordinates with orthogonal least square and locally linear embedded techniques
by: Sahak R.; Tahir N.M.; Yassin A.I.M.; Kamaruzaman F.H.; Al Misreb A.
Published: (2018) -
Convolutional Neural Network (CNN) based gait recognition system using Microsoft Kinect skeleton features
by: Guntor M.S.M.; Sahak R.; Zabidi A.; Tahir N.M.; Yassin I.M.; Rizman Z.I.; Baharom R.; Wahab N.A.
Published: (2018) -
Evaluation of basic convolutional neural network and bag of features for leaf recognition
by: Sahidan N.F.; Juha A.K.; Ibrahim Z.
Published: (2019) -
Piano Teaching Action Recognition Based on LSTM
by: Sha R.; Tan B.
Published: (2024) -
Joint Action of Selective Herbicides Used in Paddy Field on Control of Lemna minor L.
by: Huah, et al.
Published: (2024)