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International Journal of Advanced Engineering, Management and Science


Secure IoT Systems Monitor Framework using Probabilistic Image Encryption

( Vol-6,Issue-6,June 2020 )

Author(s): P.G. Narmadha, K. Pooja, Mrs. K .Muthulakshmi



Total View : 542
Downloads : 165
Page No: 261-266
ijaems crossref doiDOI: 10.22161/ijaems.66.6

Keywords:

recognition, surveillance, abnormal human behavior.

Abstract:

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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