Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras

Abstract

Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes the use of an agent-based architecture for helping in the categorization of the places where these are deployed. Proposal uses a deep learning model for evaluating the images captured by the cameras and then label the zone where the camera is located.