Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications

Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications

Remote monitoring is the process that monitors and observes information from a distance utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time applications like traffic, forest, military, shops, and hospitals to determine abnormal activities. Earlier research has...

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Bibliographic Details
Main Authors: Edeh Michael Onyema, Sundaravadivazhagn Balasubaramanian, Kanimozhi Suguna S, Celestine Iwendi, B.V.V. Siva Prasad, Chinecherem Deborah Edeh
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Measurement: Sensors
Subjects:
Deep learning
Convolutional neural network
Video processing
Object detection and recognition
Abnormal activity detection
Surveillance monitoring
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917423000545

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http://www.sciencedirect.com/science/article/pii/S2665917423000545

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