Secure IoT Systems Monitor Framework using Probabilistic Image Encryption
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Added by: editor.ijaers
Added Date: 2020-07-10
Language: English
Subjects: recognition, surveillance, abnormal human behavior.
Collections: ijaers, folkscanomy academic, folkscanomy, additional collections
Pages Count: 600
PPI Count: 600
PDF Count: 1
Total Size: 9.24 MB
PDF Size: 218.06 KB
Extensions: torrent, pdf, gz, zip
Downloads: 53
Views: 103
Total Files: 12
Media Type: texts
Total Files: 5
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Last Modified: 2020-07-10 07:15:16
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Description
In recent years, the modeling of human behaviors and patterns of activity for recognition or detection of special events has attracted considerable research interest. Various methods abounding to build intelligent vision systems aimed at understanding the scene and making correct semantic inferences from the observed dynamics of moving targets. Many systems include detection, storage of video information, and human-computer interfaces. Here we present not only an update that expands previous similar surveys but also a emphasis on contextual abnormal detection of human activity , especially in video surveillance applications. The main purpose of this survey is to identify existing methods extensively, and to characterize the literature in a manner that brings to attention key challenges.
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