View-Invariant Feature Representation for Action Recognition Under Multiple Views

International Journal of Intelligent Engineering and Systems - Japan
doi 10.22266/ijies2019.1231.01
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Intelligent Networks and Systems Society

Related search

Viewpoint-Invariant Face Recognition Based on View-Based Representation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition With Deep Convolutional Neural Networks

2019English

Cross-View Action Recognition Over Heterogeneous Feature Spaces

2013English

Spatio-Temporal and View Attention Deep Network for Skeleton Based View-Invariant Human Action Recognition

2018English

Skeleton Based View Invariant Human Action Recognition Using Convolutional Neural Networks

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Feature Seeding for Action Recognition

2011English

Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature

Applied Computational Intelligence and Soft Computing
CivilComputer NetworksStructural EngineeringCommunicationsComputer Science ApplicationsComputational MechanicsArtificial Intelligence
2017English

Gradient Direction Pattern: A Gray-Scale Invariant Uniform Local Feature Representation for Facial Expression Recognition

Journal of Applied Sciences
2013English

Invariant Feature Extraction for Component-Based Facial Recognition

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy