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

被引:18
作者
Jiang, Bo [1 ]
Lu, Yongyi [1 ]
Li, Xiying [1 ]
Lin, Liang [1 ,2 ]
机构
[1] Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China
[2] SYSU CMU Shunde Int Joint Res Inst, Shunde, Peoples R China
关键词
Fire detection; Empirical study; Video surveillance; Region classification; IMAGE;
D O I
10.1007/s11042-014-2106-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:689 / 705
页数:17
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