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An Improved Probabilistic Approach for Fire Detection in Videos

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Abstract

This paper proposes an improved probabilistic approach using two improved feature representations. These features are color and motion. First, an improved probabilistic model for color-based fire detection is proposed, and candidate fire regions are generated from this model. Then, an improved motion feature is used for final decision. The performance of the proposed approach showed about 0.2758 accuracy in false positive rate, and 0.2636 accuracy in false negative rate on a benchmark fire video database, which represents a decrease of 46.6% in false positive rate, and a decrease of 52.1% in false negative rate compared to the probabilistic approach.

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Authors and Affiliations

  1. Systems Engineering Institute, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, 710049, Shaanxi, People’s Republic of China

    Zhijie Zhang, Tian Shen & Jianhua Zou

Authors
  1. Zhijie Zhang
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  2. Tian Shen
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  3. Jianhua Zou
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Correspondence to Zhijie Zhang.

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Zhang, Z., Shen, T. & Zou, J. An Improved Probabilistic Approach for Fire Detection in Videos. Fire Technol 50, 745–752 (2014). https://doi.org/10.1007/s10694-012-0253-1

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  • DOI: https://doi.org/10.1007/s10694-012-0253-1

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