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An early fire-detection method based on image processing

Thou-Ho Chen, Ping-Hsueh Wu, Yung-Chuen Chiou·2005·2004 International Conference on Image Processing, 2004. ICIP '04.

Abstract

The paper presents an early fire-alarm raising method based on video processing. The basic idea of the proposed of fire-detection is to adopt a RGB (red, green, blue) model based chromatic and disorder measurement for extracting fire-pixels and smoke-pixels. The decision function of fire-pixels is mainly deduced by the intensity and saturation of R component. The extracted fire-pixels will be verified if it is a real fire by both dynamics of growth and disorder, and further smoke. Based on iterative checking on the growing ratio of flames, a fire-alarm is given when the alarm-raising condition is met. Experimental results show that the developed technique can achieve fully automatic surveillance of fire accident with a lower false alarm rate and thus is very attractive for the important military, social security, commercial applications, and so on, at a general cost.

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Metadata

Authors
Chen, T.-H., Wu, P.-H., & Chiou, Y.-C.
Venue
2004 International Conference on Image Processing, 2004. ICIP '04.
Publisher
IEEE
Published
2005-04-19
Volume
3
Pages
1707-1710
ISSN
1522-4880 (ISSN-L)
OpenAlex
W2111586857
Cited by
644
References
0
FWCI
28.76
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An early fire-detection method based on image processing. https://app.cochat.ai/papers/10.1109/icip.2004.1421401
The paper
Chen, T.-H., Wu, P.-H., & Chiou, Y.-C. (2005). An early fire-detection method based on image processing. 2004 International Conference on Image Processing, 2004. ICIP '04. https://doi.org/10.1109/icip.2004.1421401

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.