Paper
2 June 2011 Concept of data processing in multisensor system for perimeter protection
R. Dulski, M. Kastek, P. Trzaskawka, T. Piątkowski, M. Szustakowski, M. Życzkowski
Author Affiliations +
Abstract
The nature of recent terrorist attacks and military conflicts as well as the necessity to protect bases, convoys and patrols gave serious impact to the development of more effective security systems. Widely-used so far concepts of perimeter protection with zone sensors will be replaced in the near future with multi-sensor systems. This kind of systems can utilize day/night cameras, IR uncooled thermal cameras as well as millimeter-wave radars detecting radiation reflected from target. Ranges of detection, recognition and identification for all targets depends on the parameters of the sensors used and the observed scene itself. Apart from the sensors the most important elements that influence the system effectiveness is intelligent data analysis and a proper data fusion algorithm. A multi-sensor protection system allows to achieve significant improvement of detection probability of intruder. The concept of data fusion in multi-sensor system has been introduced. It is based on image fusion algorithm which allows visualizing and tracking intruders under any conditions.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Dulski, M. Kastek, P. Trzaskawka, T. Piątkowski, M. Szustakowski, and M. Życzkowski "Concept of data processing in multisensor system for perimeter protection", Proc. SPIE 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 80190X (2 June 2011); https://doi.org/10.1117/12.883965
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Cameras

Infrared imaging

Thermography

Image fusion

Detection and tracking algorithms

Infrared cameras

Back to Top