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A Color Model Based Fire Flame Detection System

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Pattern Recognition (CCPR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 662))

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Abstract

Fire flame detection using color information is an important problem for public security and has many applications in computer vision and other domains. The color model based method used for fire flame detection has many advantages over conventional methods, such as simple, feasible and understandable. In order to improve the performance of fire flame detection based on video, we propose an effective color model based method for fire flame detection and build a corresponding fire flame detection system. Firstly, candidate fire flame regions are detected using the chromatic and dynamic measurements. Secondly, the fire flame regions are determined based on the area of the candidate regions. Finally, the fire flame detection system will give an alarm voice when the number of successive fire frames surpasses threshold. Experimental results show the effectiveness of our system on various fire-detection tasks in real-world environments.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (No. 61472393, No. 61572450 and No. 61303150), the Fundamental Research Funds for the Central Universities (WK2350000002).

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Authors and Affiliations

  1. Department of Automation, University of Science and Technology of China, Hefei, 230026, China

    Qing Lu, Jun Yu & Zengfu Wang

  2. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, China

    Zengfu Wang

  3. National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, 230026, China

    Qing Lu, Jun Yu & Zengfu Wang

Authors
  1. Qing Lu
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  2. Jun Yu
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  3. Zengfu Wang
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Corresponding author

Correspondence to Zengfu Wang .

Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  2. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

    Xuelong Li

  3. Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

    Xilin Chen

  4. Tsinghua University , Beijing, China

    Jie Zhou

  5. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  6. University of Electronic Science and Technology, Chengdu, Sichuan, China

    Hong Cheng

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© 2016 Springer Nature Singapore Pte Ltd.

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Lu, Q., Yu, J., Wang, Z. (2016). A Color Model Based Fire Flame Detection System. In: Tan, T., Li, X., Chen, X., Zhou, J., Yang, J., Cheng, H. (eds) Pattern Recognition. CCPR 2016. Communications in Computer and Information Science, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-10-3002-4_40

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  • DOI: https://doi.org/10.1007/978-981-10-3002-4_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3001-7

  • Online ISBN: 978-981-10-3002-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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