Title
Integrated design of intelligent surveillance systems and their user interface
Author
Toet, A.
TNO Defensie en Veiligheid
Contributor
Arabnia, H.R. (editor)
Joshua, R. (editor)
Publication year
2005
Abstract
Modern complex surveillance systems consisting of multiple and heterogeneous sensors, automatic information registration and data analysis techniques, and decision support tools should provide the human operator an integrated, transparent and easily comprehensible view of the surveyed scene. Displayed visual information should be optimally tuned to the characteristics and limitations of the human visual system. Interaction with the displayed information should be intuitive and effortless so that operators can focus their attention on their task. We present an overview of (1) display techniques that can be used to optimally adjust visual information presentation to the capabilities of the human visual system and the momentary direction of viewing, and (2) a range of techniques that allow optimal interaction with the displayed information. We argue that experts from the application domain, system designers and human factor specialists should all be involved in the design process of a complex surveillance system that incorporates these techniques, to ensure that the final product fully exploits all the technological opportunities and provides a cognitive fit between the displayed information and the operators mental model.
Subject
Informatics
Artificial intelligence
Decision support systems
Human engineering
User interfaces
Visual communication
Application domains
Automatic informations
Data analysis techniques
Decision support tools
Design process
Heterogeneous sensors
Human factors
Human operators
Human visual systems
Integrated designs
Intelligent surveillance systems
Mental models
Optimal interactions
Surveillance systems
System designers
Technological opportunities
Visual informations
Security systems
To reference this document use:
http://resolver.tudelft.nl/uuid:4eacfe4c-bd59-4e73-b074-9d5bc3da6374
TNO identifier
16063
Publisher
CSREA Press
Source
Proceedings of the 2005 International Conference on Artificial Intelligence IC-AI'05, I. Las Vegas, Nevada, USA, 17-23
Document type
conference paper