光学学报, 2018, 38 (7): 0710001, 网络出版: 2018-09-05
基于ViBe与机器学习的早期火灾检测算法 
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Early Fire Detection Algorithm Based on ViBe and Machine Learning
图 & 表
图 2. ViBe运动检测结果图。(a)背景模型;(b)背景更新后的检测结果;(c)改进后ViBe算法的检测结果
Fig. 2. ViBe motion test results. (a) Background model; (b) test results after background update; (c) test results of improved ViBe algorithm
图 3. 前景检测结果图。(a)原始图像;(b)文献[ 12]检测出的前景区域掩码;(c)本文算法检测出的前景区域掩码
Fig. 3. Foreground detection results. (a) Original image; (b) foreground area mask detected by algorithm in Ref. [12]; (c) foreground area mask detected by proposed algorithm
表 1算法火灾检测率和响应时间测试
Table1. Fire detection rate and response time tests of algorithm
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表 2算法误报率测试
Table2. False positive rate test of algorithm
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梅建军, 张为. 基于ViBe与机器学习的早期火灾检测算法[J]. 光学学报, 2018, 38(7): 0710001. Jianjun Mei, Wei Zhang. Early Fire Detection Algorithm Based on ViBe and Machine Learning[J]. Acta Optica Sinica, 2018, 38(7): 0710001.
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