激光与光电子学进展, 2019, 56 (21): 211502, 网络出版: 2019-11-02
基于高斯混合模型和卷积神经网络的视频烟雾检测 
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Video Smoke Detection Based on Gaussian Mixture Model and Convolutional Neural Network
图 & 表
图 2. 运动目标检测。 (a)原图;(b)基于高斯混合模型的处理结果;(c)形态学处理结果
Fig. 2. Motion object detection. (a) Original images; (b) process results based on GMM; (c) process results based on morphology
图 4. 数据集。(a)部分正样本;(b)部分负样本
Fig. 4. Data set. (a) Examples of positive samples; (b) examples of negative samples
图 5. 烟雾识别效果对比。(a)(b)(c)概率阈值设定前;(d)(e)(f)概率阈值设定后
Fig. 5. Comparison of smoke recognition effects. (a)(b)(c) Before setting probability threshold; (d)(e)(f) after setting probability threshold
表 1部分视频烟雾检测算法性能
Table1. Algorithm performance of partial video smoke detection
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李鹏, 张炎. 基于高斯混合模型和卷积神经网络的视频烟雾检测[J]. 激光与光电子学进展, 2019, 56(21): 211502. Peng Li, Yan Zhang. Video Smoke Detection Based on Gaussian Mixture Model and Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211502.
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