A composite framework of deep multiple view human joints feature extraction and selection strategy with hybrid adaptive sunflower optimization‐whale optimization algorithm for human action recognition in video sequences

In computer vision and pattern recognition field, video‐based human action recognition (HAR) is the most predominant research area. Object recognition is needed to recognize the subjects regarding video contents, which allows reactive enquiry in a large number of camera contents, mainly in security...

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Veröffentlicht in:	Computational intelligence Jg. 38; H. 2; S. 366 - 396
Hauptverfasser:	Rajappan, Rajitha Jasmine, Kondampatti Kandaswamy, Thyagharajan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.04.2022 Blackwell Publishing Ltd
Schlagworte:	Accuracy Adaptive algorithms adaptive sun flower optimization Artificial neural networks Closed circuit television Computer vision Datasets deep improved fully resolution convolutional neural networks (DIFR‐CNN) Feature extraction Feature selection Human activity recognition Human motion multiple view Object recognition Optimization Optimization algorithms Pattern recognition Sports Sunflowers Television cameras Video video‐based HAR
ISSN:	0824-7935, 1467-8640
Online-Zugang:	Volltext
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