Improved strategy for human action recognition; experiencing a cascaded design-Reference-Cited by-同舟云学术

Improved strategy for human action recognition; experiencing a cascaded design

Published:2020-02-26 Issue:5 Volume:14 Page:818-829
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Khan Muhammad Attique¹²,Akram Tallha³^ORCID,Sharif Muhammad²,Muhammad Nazeer⁴,Javed Muhammad Younus¹,Naqvi Syed Rameez³

Affiliation:

1. Department of Computer Science & EngineeringHITEC UniversityMuseum RoadTaxilaPakistan

2. Department of Computer ScienceCOMSATS University IslamabadWah CampusPakistan

3. Department of Electrical EngineeringCOMSATS University IslamabadWah CampusPakistan

4. Department of MathematicsCOMSATS University IslamabadWah CampusPakistan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5769

Reference62 articles.

1. A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

2. An implementation of optimized framework for action classification using multilayers neural network on selected fused features;Khan M.A.;Pattern Anal. Appl.,2018

3. Human activity analysis

4. Human Behavior Analysis Based on Multi-Types Features Fusion and Von Nauman Entropy Based Features Reduction

5. Multi‐level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution;Arshad H.;Int. J. Mach. Learn. Cybern.,2019

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