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An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos

Publication Type : Conference Paper

Publisher : Proceedings of the first international conference on Intelligent Computing.

Source : Proceedings of the first international conference on Intelligent Computing (2018)

Url : https://www.ingentaconnect.com/content/asp/jctn/2020/00000017/00000001/art00048

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2018

Abstract : The projected work shows generic rule in YCbCr color space based fire pixel detection is proposed for smart building which will complement the conventional electronic sensor based fire detection system. The proposed method handles YCbCr color model is used for decoupling the luminance and chrominance which added discriminate the color than RGB color model. This algorithm has been tested on fire and fire like images which results in 97.95% detection accuracy. Obtained experimental results have been compared with other existing algorithms and it is observed that gives a very high the proposed algorithm detection accuracy and feasible true positive rate in fire images. © 2020 American Scientific Publishers.

Cite this Research Publication : S. P, Parameswaran, L., and Dr. Senthil Kumar T., “An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos”, in Proceedings of the first international conference on Intelligent Computing, 2018.

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