Paper
1 September 1990 Multisensor data fusion model for multitarget tracking
Hamid Rasoulian, Wiley E. Thompson, Louis F. Kazda, Ramon Parra-Loera
Author Affiliations +
Abstract
The problem of fusion of mnultisensor data for multitarget tracking is considered. A fusion model is presented for fusion of numeric and nonnumeric data from multiple sensors and a clustering technique is introduced. A modified version of Dempster theory is used to combine evidence and to determine object type. An example is presented to illustrate the effectiveness and methodology. 1.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hamid Rasoulian, Wiley E. Thompson, Louis F. Kazda, and Ramon Parra-Loera "Multisensor data fusion model for multitarget tracking", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); https://doi.org/10.1117/12.21293
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Data fusion

Data modeling

Image processing

Signal processing

Image fusion

Image sensors

RELATED CONTENT

Inference for data fusion
Proceedings of SPIE (December 16 1992)
A feature fusion method for feature extraction
Proceedings of SPIE (June 02 2012)
Multisensor data classification with dependence trees
Proceedings of SPIE (January 19 2001)
New approach to laser image processing for dynamic scenes
Proceedings of SPIE (August 06 1997)
Service-based extensions to the JDL fusion model
Proceedings of SPIE (May 06 2008)

Back to Top