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A Novel Computational Approach for Fire Detection

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2 Author(s)
Ha Dai Duong ; Fac. of Inf. Technol., Le Qui Don Tech. Univ., Hanoi, Vietnam ; Dao Thanh Tinh

This paper proposes a model for detecting fire captured in video data by combining the methods of correlation coefficient, Gaussian Mixture Model - GMM and turbulent analysis. The method of correlation efficient is used to determine movement objects. We use GMM to cluster fire-colored pixel in the RGB space. The objective of turbulent analysis is to detect the flame of fire. A model built on three above methods will be presented and the experimental results are discussed in Section III.

Published in:

Knowledge and Systems Engineering (KSE), 2010 Second International Conference on

Date of Conference:

7-9 Oct. 2010