Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras
Rangel, José Carlos
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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.