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A Flame Detection Algorithm Based on Video Multi-feature Fusion

  • Jinhua Zhang
  • Jian Zhuang
  • Haifeng Du
  • Sun’an Wang
  • Xiaohu Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

The physical flame characteristics in the burning process are analyzed in detail. Combined with static and dynamic flame features, a flame detection algorithm based on multi-feature fusion is designed to quickly recognize fire flame using the theory of the degree of belief. The experiments show that the processing rate of the algorithm is as high as 25 frames/s without any manual adjustments. In complex situations, the algorithm remains with stronger anti-jamming ability and higher accuracy, for example, the suspected probability of street lamps and automotive lamps is lower than 10%. From comparing results, the video-based detection algorithm has the good capabilities.

Keywords

Video Sequence Diffusion Flame Fire Detection Fire Region Flicker Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jinhua Zhang
    • 1
  • Jian Zhuang
    • 1
  • Haifeng Du
    • 1
  • Sun’an Wang
    • 1
  • Xiaohu Li
    • 1
  1. 1.Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing SystemXi’an Jiaotong UniversityXi’anChina

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