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Fire Detection in Video Sequences Using Statistical Color Model

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4 Author(s)
T. Celik ; Department of Electrical and Electronic Engineering, Eastern Mediterranean University. Email: ; H. Demirel ; H. Ozkaramanli ; M. Uyguroglu

In this paper, we propose a real-time fire-detector which combines foreground information with statistical color information to detect fires. The foreground information which is obtained using adaptive background information is verified by the statistical color information to determine whether the detected foreground object is a candidate for fire or not. The output of the both stages is analyzed in consecutive frames which is the verification process of fire that uses the fact that fire never stays stable in visual appearance. The frame processing rate of the detector is about 30 fps with image size of 176times144 which enables the proposed detector to be applied for real-time applications

Published in:

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings  (Volume:2 )

Date of Conference:

14-19 May 2006