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A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in...

A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2812383834

A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time

About this item

Full title

A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2023-04, Vol.12 (9), p.2027

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Video surveillance and image acquisition systems represent one of the most active research topics in computer vision and smart city domains. The growing concern for public and workers’ safety has led to a significant increase in the use of surveillance cameras that provide high-definition images and even depth maps when 3D cameras are available. Co...

Alternative Titles

Full title

A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2812383834

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2812383834

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics12092027

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