2015
DOI: 10.1007/s11227-015-1382-3
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An optimal many-core model-based supercomputing for accelerating video-equipped fire detection

Abstract: Automatic fire detection has become more and more appealing because of the increasing use of video capabilities in surveillance systems used for early detection of fire. However, its high computational complexities limit its use in real-time applications. To meet the real-time processing of today's fire detection techniques, this study proposes a single instruction, multiple data many-core model. To design an efficient many-core model for image processing applications such as fire detection, a key design param… Show more

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Cited by 9 publications
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References 43 publications
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