Authors:
Lorenzo M. López-López
;
Javier Albusac
;
José Jesús Castro-Schez
and
Luis Jiménez-Linares
Affiliation:
Universidad de Castilla-La Mancha, Spain
Keyword(s):
Surveillance system, Intelligent surveillance, Multisensor surveillance, Multi-sensor data fusion, Sensor data integration, Sensor processing and control, Multiagent system.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Biomedical Engineering
;
Cognitive Systems
;
Computational Intelligence
;
Enterprise Information Systems
;
Evolutionary Computing
;
Expert Systems
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Soft Computing
;
Symbolic Systems
Abstract:
Nowadays, the design and development of intelligent surveillance systems is a hot research topic thanks to the recent advances in related fields such as computer perception, artificial intelligence, and distributed devices infrastructures. These systems are gradually going from the classic CCTV passive surveillance systems towards systems which are capable of offering automatic interpretation of the events occurred in a monitored environment and decision support information based on the data obtained from a number of heterogeneous perception devices. In this work, we introduce the formal definition of an intermediate layer in the architecture of an intelligent surveillance system, of which purpose is to provide the components responsible for performing the reasoning processes with the data from the environment they need. Such data is provided by means of environment views, which are data objects that contain not only data from different sensors, but also associated semantics which de
pends on the particular context in which the analysis of the normality of a concept is performed.
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