Computational intelligence in visual sensor networks: Improving video processing systems

Miguel A. Patricio, F. Castanedo, A. Berlanga, O. Pérez, J. García, José M. Molina

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

19 Citations (Scopus)


In this chapter we will describe several approaches to develop video analysis and segmentation systems based on visual sensor networks using computational intelligence. We review the types of problems and algorithms used, and how computational intelligence paradigms can help to build competitive solutions. computational intelligence is used here from an " engineering" point of view: the designer is provided with tools which can help in designing or refining solutions to cope with real-world problems. This implies having an "a priori" knowledge of the domain (always imprecise and incomplete) to be reflected in the design, but without accurate mathematical models to apply. The methods used operate at a higher level of abstraction to include the domain knowledge, usually complemented with sets of pre-compiled examples and evaluation metrics to carry out an "inductive" generalization process.

Original languageEnglish
Title of host publicationComputational Intelligence in Multimedia Processing
Subtitle of host publicationRecent Advances
EditorsAboul-Ella Hassanien, Ajith Abraham, Janusz Kacprzyk
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages27
ISBN (Print)9783540768265
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


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