A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection-Reference-Cited by-同舟云学术

A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection

Published:2021-02 Issue: Volume:106 Page:104090
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Afza Farhat,Khan Muhammad Attique,Sharif Muhammad,Kadry Seifedine,Manogaran Gunasekaran,Saba Tanzila,Ashraf Imran,Damaševičius Robertas

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference42 articles.

1. Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition;Khan;Appl. Soft Comput.,2020

2. Multi-modality learning for human action recognition;Ren;Multimed. Tools Appl.,2020

3. Scale coding bag of deep features for human attribute and action recognition;Khan;Mach. Vis. Appl.,2018

4. A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition;Arshad;Expert. Syst.,2020

5. A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection;Rashid;Sustainability,2020

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