Performance Evaluation On Suspicious Activity Detection  Using Cnn

K. Meenakshi; Mr.R.Albert paulin Michael

Volume 9, Issue 4 (April 2023)

Performance Evaluation On Suspicious Activity Detection Using Cnn

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Author(s)

K. Meenakshi Mr.R.Albert paulin Michael

Abstract

This Paper Presents A Study On The Performance Evolution Of Suspicious Activity Detection Using Convolutional Neural Networks (CNNs). The Study Focuses On The Application Of CNNs In Detecting Suspicious Activity In Video Surveillance Systems. Keywords Suc

Keywords

CNN Convolutional Neural Networks Suspicious Activity Detection Video Surveillance Performance Evolution Deep Learning Dataset Size Model Parameters Optimization Learning Rate.

Paper ID

IJSARTV9I461425

Publication Date

April 13, 2023

Research Area

MCA

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