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Towards a solid solution of real-time fire and flame detection

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Abstract

Although the object detection and recognition has received growing attention for decades, a robust fire and flame detection method is rarely explored. This paper presents an empirical study, towards a general and solid approach for fast detection of fire and flame in videos, with the applications in video surveillance and event retrieval. Our system consists of three cascaded steps: (1) candidate regions proposing by a background model, (2) fire region classifying with color-texture features and a dictionary of visual words, and (3) temporal verifying. The experimental evaluation and analysis are done for each step. We believe that it is a useful service to both academic research and real-world application. In addition, we release the software of the proposed system with the source code, as well as a public benchmark and data set, including 64 video clips covered both indoor and outdoor scenes under different conditions. We achieve an 82 % Recall with 93 % Precision on the data set, and greatly improve the performance by state-of-the-arts methods.

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Notes

  1. Project page. The data set and software of the proposed system can be downloaded from the web page: http://vision.sysu.edu.cn/systems/fire-detection/

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Authors and Affiliations

  1. School of Engineering, Sun Yat-sen University, Guangzhou, China

    Bo Jiang, Yongyi Lu, Xiying Li & Liang Lin

  2. SYSU-CMU Shunde International Joint Research Institute, Shunde, China

    Liang Lin

Authors
  1. Bo Jiang
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  2. Yongyi Lu
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  3. Xiying Li
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  4. Liang Lin
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Corresponding author

Correspondence to Xiying Li.

Additional information

This work was supported by Fundamental Science and Technology Program of Ministry of Public Security (no. 2013GABJC013), Program of Guangzhou Zhujiang Star of Science and Technology (no. 2013J2200067), Guangdong Science and Technology Program (no. 2012B031500006), Guangdong Natural Science Foundation (no. S2013050014548), Special Project on Integration of Industry, Education and Research of Guangdong Province (no. 2012B091000101) and Fundamental Research Funds for the Central Universities (no. 13lgjc26).

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Jiang, B., Lu, Y., Li, X. et al. Towards a solid solution of real-time fire and flame detection. Multimed Tools Appl 74, 689–705 (2015). https://doi.org/10.1007/s11042-014-2106-z

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  • DOI: https://doi.org/10.1007/s11042-014-2106-z

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