Fire Technology

, Volume 50, Issue 3, pp 745–752 | Cite as

An Improved Probabilistic Approach for Fire Detection in Videos

  • Zhijie Zhang
  • Tian Shen
  • Jianhua Zou


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.


Fire detection Probabilistic pattern recognition Color modeling Motion detection 


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Systems Engineering InstituteXi’an Jiaotong UniversityXi’anPeople’s Republic of China

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