Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique
Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long Short-Term Memory) suffer from highly complex model...
Main Authors: | Najeeb ur Rehman Malik, Usman Ullah Sheikh, Syed Abdul Rahman Abu-Bakar, Asma Channa |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/5/2745 |
Similar Items
-
Multi-view human action recognition using skeleton based-FineKNN with extraneous frame scrapping technique
by: Rehman Malik, Najeeb, et al.
Published: (2023) -
Improving Human Activity Recognition Integrating LSTM With Different Data Sources: Features, Object Detection and Skeleton Tracking
by: Jaime Duque Domingo, et al.
Published: (2022-01-01) -
Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data
by: Mohamed A. Bencherif, et al.
Published: (2021-01-01) -
Fall Detection Based on Key Points of Human-Skeleton Using OpenPose
by: Weiming Chen, et al.
Published: (2020-05-01) -
Comparative Analysis of Skeleton-Based Human Pose Estimation
by: Jen-Li Chung, et al.
Published: (2022-12-01)