Smoke Detection in Storage Yard Based on Parallel Deep Residual Network

Layer name	Output size	50-layer
conv1	112×112	74×74, 64, stride2
conv2_x	56×56	3×3 max pool, stride2
		$\begin{matrix} [\begin{matrix} 1 \times 1,64 \\ 3 \times 3,64 \\ 1 \times 1,256 \end{matrix}] \end{matrix}$ ×2, stride1
		$\begin{matrix} [\begin{matrix} 1 \times 1,64 \\ 3 \times 3,64 \\ 1 \times 1,256 \end{matrix}] \end{matrix}$ ×1, stride2
conv3_x	28×28	$\begin{matrix} [\begin{matrix} 1 \times 1,128 \\ 3 \times 3,128 \\ 1 \times 1,512 \end{matrix}] \end{matrix}$ ×3, stride1
conv3_x	28×28	$\begin{matrix} [\begin{matrix} 1 \times 1,128 \\ 3 \times 3,128 \\ 1 \times 1,512 \end{matrix}] \end{matrix}$ ×1, stride2
conv4_x	14×14	$\begin{matrix} [\begin{matrix} 1 \times 1,256 \\ 3 \times 3,256 \\ 1 \times 1,1024 \end{matrix}] \end{matrix}$ ×5, stride1
conv4_x	14×14	$\begin{matrix} [\begin{matrix} 1 \times 1,256 \\ 3 \times 3,256 \\ 1 \times 1,1024 \end{matrix}] \end{matrix}$ ×1, stride2
conv5_x	7×7	$\begin{matrix} [\begin{matrix} 1 \times 1,512 \\ 3 \times 3,512 \\ 1 \times 1, 2048 \end{matrix}] \end{matrix}$ ×3, stride1
	1×1	Average pool,1000-d fc,softmax

Table 2. Detection rate and false positive rate of validation scenarios with single and parallel network%

View table

Table 2. Detection rate and false positive rate of validation scenarios with single and parallel network%

Confidencelevel	Single network		Parallel network
Confidencelevel	Detection rate	False positive rate	Detection rate	False positive rate
0.1	93.764	1.357	95.768	0.581
0.2	92.650	0.678	94.655	0.194
0.3	91.759	0.581	92.984	0.097
0.4	90.646	0.484	91.314	0.000
0.5	89.978	0.291	90.535	0.000
0.6	88.864	0.097	89.421	0.000
0.7	87.751	0.097	88.085	0.000
0.8	85.412	0.000	85.746	0.000
0.9	81.849	0.000	81.849	0.000
0.95	78.953	0.000	79.065	0.000
0.98	73.385	0.000	73.608	0.000

Table 3. Detection rate and false positive rate of test scenarios with single and parallel network%

View table

Table 3. Detection rate and false positive rate of test scenarios with single and parallel network%

Confidence level	Single network		Parallel network
Confidence level	Detection rate	False positive rate	Detection rate	False positive rate
0.1	43.363	26.540	69.912	36.967
0.2	37.168	15.640	65.487	16.588
0.3	34.513	15.640	61.504	13.744
0.4	31.858	15.640	58.850	12.322
0.5	30.973	15.166	56.637	11.848
0.6	29.204	13.744	54.867	10.427
0.7	27.876	12.322	52.212	8.531
0.8	26.549	9.953	49.115	7.109
0.9	24.779	0.474	45.575	0.000
0.95	19.027	0.000	38.496	0.000
0.98	12.389	0.000	26.549	0.000

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Zhenglai Wang, Min Huang, Qibing Zhu, Sheng Jiang. Smoke Detection in Storage Yard Based on Parallel Deep Residual Network[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051008

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Paper Information

Category: Image processing

Received: Oct. 17, 2017

Accepted: --

Published Online: Sep. 11, 2018

The Author Email: Min Huang (huangmzqb@163.com)

DOI:10.3788/LOP55.051008

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology