Compressive Imaging Systems For Video Surveillance Applications

Document Type : Primary Research paper

Authors

1 Assistant Professor Department of Electrical and Electronics EngineeringAMET Deemed to be University, Chennai

2 Professor& Dean, Department of Electrical and Electronics Engineering AMET Deemed to be University, Chennai

3 Assistant Professor Department of Electrical and Electronics Engineering AMET Deemed to be University, Chennai

Abstract

Video surveillance is one of the most important Internet of Things (IoT) applications, and
it deals with a large volume of data. Compressive sensing is a new approach that may be
used to develop IoT platforms since it lowers raw data transfer and achieves network traffic
load balancing. The paper's main contribution is to design and construct a cost-effective
IoT-enabled compressed sensing-based image system for video surveillance. The suggested
work's efficiency will be measured in terms of sample reduction, reconstruction quality,
and energy consumption.

Keywords


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 547-552