An Algorithm of early Smoke Detection Based on Multiple Features

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An early smoke detection algorithm based on Codebook model and multiple features is presented in this paper. First, the foreground is obtained by using the Codebook algorithm. Second, the model of color distribution and the model of shape feathers of smoke are applied to detect the suspected smoke area in the foreground. Finally, the false alarm rate is reduced effectively by using dynamic features in the diffusion process of smoke. Experimental results show that our algorithm has good detection performance and achieves real-time requirement which is very important for real application.

Info:

Periodical:

Advanced Materials Research (Volumes 457-458)

Edited by:

Sally Gao

Pages:

1254-1257

Citation:

M. X. Jiang et al., "An Algorithm of early Smoke Detection Based on Multiple Features", Advanced Materials Research, Vols. 457-458, pp. 1254-1257, 2012

Online since:

January 2012

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$38.00

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