Abstract
The random set (RS) concept generalizes that of a random vector. It permits the mathematical modeling of random systems that can be interpreted as random patterns. Algorithms based on RSs have been extensively employed in image processing. More recently, they have found application in multitarget detection and tracking and in the modeling and processing of human-mediated information sources. The purpose of this article is to briefly summarize the concepts, theory, and practical application of RSs.
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Mahler, R. (2020). Estimation for Random Sets. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_70-2
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_70-2
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Chapter history
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Latest
Estimation for Random Sets- Published:
- 06 November 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_70-2
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Original
Estimation for Random Sets- Published:
- 23 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_70-1