A supervised learning approach to automate the acquisition of knowledge in surveillance systems

DOI10.1016/j.sigpro.2009.04.008zbMath1197.94018OpenAlexW2093952584MaRDI QIDQ1957674

D. Vallejo, L. M. Lopez-Lopez, Jose Jesus Castro-Schez, J. Albusac, Luis Jimenez-Linares

Publication date: 27 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2009.04.008

zbMATH Keywords

soft computingmachine learninganomalous behaviour detectionautomated video surveillanceMPEG video analysis

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Cites Work

• Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems
• Fuzzy sets

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