Wildfire smoke detection using computational intelligence techniques

IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn , Issue , 2011, Pages 34-39

  Genovese, Angelo ^a   Labati, Ruggero Donida ^a   Piuri, Vincenzo ^a   Scotti, Fabio ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

computer vision; forest fires; neural networks; smoke detection

Indexed keywords

COMPUTATIONAL INTELLIGENCE TECHNIQUES; DETECTION PROCESS; ENVIRONMENTAL CONDITIONS; FOREST FIRES; FRAME SEQUENCES; IMAGE PROCESSING SYSTEM; LOW COSTS; LOW QUALITIES; SMOKE DETECTION; WILDFIRE SMOKE;

COMPUTER VISION; DEFORESTATION; FIRES; MEASUREMENTS; NEURAL NETWORKS; SMOKE; SMOKE DETECTORS;

COMPUTATIONAL COMPLEXITY;

EID: 82955165696     PISSN: 21591547     EISSN: 21591555     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2011.6059930     Document Type: Conference Paper

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