Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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The worldwide utilization of surveillance cameras in smart cities has enabled researchers to analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security system in smart cities, schools, hospitals, and other surveillance domains is mandatory for the detection of violent or abnormal activities to avoid any casualties which...
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Full title
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
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TN_cdi_doaj_primary_oai_doaj_org_article_8f9fbf1868e948aebb876d4ee7db6537
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8f9fbf1868e948aebb876d4ee7db6537
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s19112472
