A Systematic Review of Background Subtraction Algorithms for Smart Surveillance System

Abstract

Nowadays, the demand for video surveillance systems is rapidly increasing as an essential component of many security formations and apparatuses. Many times, video surveillance has demonstrated its importance and benefits by providing immediate supervision of environment, people and their valuable properties. However, surveillance has been a major issue in almost every facet of life since infrastructure, companies, homes, and offices required the safety of their possessions from intruders. Therefore, this paper presents a comprehensive and systematic literature review on existing methods in motion detection such as background subtraction, as well as, an overview of basic concepts in surveillance technologies and the drawbacks of various methods. Consequently, in this paper, an enhanced methodology to improve the existing method in smart surveillance systems is presented.