IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Smart Surveillance Systems

Smart Surveillance Systems
View Sample PDF
Author(s): L. J. M. Rothkrantz (Delft University of Technology, The Netherlands)
Copyright: 2017
Pages: 24
Source title: Biometrics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0983-7.ch068

Purchase

View Smart Surveillance Systems on the publisher's website for pricing and purchasing information.

Abstract

To enable effective and efficient command and control in military operations it is necessary to have full awareness of all the actions in the field. In traditional C2 systems, human operators play key roles varying from observation in the field up to semantic interpretation of observed data in the Command and Control Centre. Networks are mainly used to transmit data between different components of the network. Observation by human operators will be replaced by sensor networks. The huge amount of incoming data is far beyond the capacity of operators, so the heterogeneous, multimodal data from the different sensor systems has to be fused, aggregated, and filtered. Automated surveillance sensor networks are discussed in this chapter. Sensors are modelled as a distributed system of smart agents. Methods and technology from Artificial Intelligence such as expert systems, semantic networks, and probabilistic reasoning is used to give a semantic interpretation of the sensed data from the environment.

Related Content

Ajay Rawat, Shivani Gambhir. © 2017. 19 pages.
Abhijit Chandra, Srideep Maity. © 2017. 15 pages.
Swanirbhar Majumder, Saurabh Pal. © 2017. 26 pages.
Fouad Farouk Jabri. © 2017. 32 pages.
Francisco Pacheco Andrade, Teresa Coelho Moreira. © 2017. 13 pages.
Swanirbhar Majumder, Smita Majumder. © 2017. 31 pages.
Yuanfang Guo, Oscar C. Au, Ketan Tang. © 2017. 20 pages.
Body Bottom