A Probabilistic Approach for Vision-Based Fire Detection in Videos

Automated fire detection is an active research topic in computer vision. In this paper, we propose and analyze a new method for identifying fire in videos. Computer vision-based fire detection algorithms are usually applied in closed-circuit television surveillance scenarios with controlled backgrou...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2010-05, Vol.20 (5), p.721-731
Hauptverfasser:	Borges, Paulo Vinicius Koerich, Izquierdo, Ebroul
Format:	Artikel
Sprache:	eng
Schlagworte:	Active control Algorithms Applied sciences Artificial intelligence Automatic control Classification Computer science control theory systems Computer vision Content based retrieval Detection algorithms Exact sciences and technology Eyes & eyesight Fire detection Fires Image processing Information retrieval Information theory Information, signal and communications theory Mathematical models Pattern recognition Pattern recognition. Digital image processing. Computational geometry probabilistic pattern recognition Roughness Signal processing Spatial databases Studies Surveillance Telecommunications and information theory video processing Videos
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