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Automated visual surveillance in computer vision

Published 23 March 2009
B. Anandampilai, Krishna Kalyanam
Citations1

TL;DR

Progress in the field of automated visual surveillance is reviewed and some of the major remaining problems in automated video surveillance are considered.

Abstract

Abstract. The usefulness of networks of surveillance cameras is primarily limited by the demand placed on human supervisors to monitor many real time video feeds simultaneously. The goal of automated visual surveillance is to reduce the burden on operators by including software in a surveillance system that can analyze behavior automatically. This paper reviews progress in the field and considers some of the major remaining problems in automated video surveillance.

Keywords

Computer Science