Suspicious Activity Detection Using Convolution Neural Network

Authors

  • S. A. Quadri
  • Komal S Katakdhond

DOI:

https://doi.org/10.47750/pnr.2022.13.S01.151

Keywords:

Convolution Neural Network, Anomaly, CCTV, Video Surveillance.

Abstract

Video Surveillance plays a significant role in today's world. Various technologies have been utilized to implement the safety of life and
property by installing high quality CCTV cameras. It is impossible to manually monitor each and every moment activity. Furthermore, in
practical scenario the most unpredictable one is human behaviour and it is very difficult to find whether it is suspicious or normal. In this
work the notion of Convolution Neural Network is used to detect suspicious or normal activity in an environment, and a system is proposed
that sends an alert message to the corresponding authority, in case of predicting a suspicious activity.

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Published

2022-10-03

Issue

Section

Articles

How to Cite

Suspicious Activity Detection Using Convolution Neural Network. (2022). Journal of Pharmaceutical Negative Results, 1235-1245. https://doi.org/10.47750/pnr.2022.13.S01.151