Unmanned Aerial Vehicle Detection Based on ASRPCA Fused with Five-Frame Difference

Na Li; Kuangang Fan; Yahui Liu; Qinghua Ouyang

doi:10.3788/LOP202158.2015007

Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2015007(2021)

Unmanned Aerial Vehicle Detection Based on ASRPCA Fused with Five-Frame Difference

Na Li^1,2, Kuangang Fan^1,2、*, Yahui Liu^1,2, and Qinghua Ouyang^1,2

¹School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China

²Key Laboratory of Magnetic Levitation Technology in Jiangxi Province, Ganzhou, Jiangxi 341000, China

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Figures & Tables(6)

Fig. 1. Flow chart of improved algorithm

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Fig. 2. Comparison results of UAV detection using different algorithms under different background sequences

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Fig. 3. Gaussian noise detection results with different variances

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Table 1. Measured value P,R,F of various algorithms

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Table 1. Measured value P,R,F of various algorithms

Video	Five-Frame Difference+			ViBe+			Optical Flow+			GMM+			TVRPCA			Proposed algorithm
Video	R	P	F	R	P	F	R	P	F	R	P	F	R	P	F	R	P	F
(a)	0.85	0.91	0.89	0.92	0.75	0.83	0.89	0.83	0.86	0.62	0.90	0.73	0.87	0.94	0.90	0.91	0.93	0.92
(b)	0.46	0.83	0.59	0.88	0.74	0.80	0.81	0.63	0.71	0.82	0.66	0.73	0.86	0.84	0.85	0.92	0.91	0.91
(c)	0.58	0.79	0.67	0.86	0.70	0.77	0.87	0.71	0.78	0.63	0.77	0.70	0.85	0.86	0.85	0.89	0.85	0.87
(d)	0.53	0.87	0.66	0.84	0.73	0.78	0.92	0.72	0.81	0.63	0.81	0.71	0.86	0.81	0.83	0.91	0.92	0.91
(e)	0.37	0.88	0.52	0.89	0.62	0.73	0.90	0.89	0.89	0.59	0.80	0.68	0.89	0.90	0.89	0.94	0.93	0.93
(f)	0.79	0.85	0.82	0.71	0.80	0.75	0.92	0.49	0.64	0.11	0.57	0.18	0.84	0.83	0.83	0.87	0.85	0.86
(g)	0.51	0.86	0.64	0.81	0.79	0.80	0.79	0.80	0.79	0.21	0.87	0.33	0.86	0.89	0.87	0.93	0.88	0.90

Table 2. Measured value P, R, F of Gaussian noise with different variances

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Table 2. Measured value P, R, F of Gaussian noise with different variances

Algorithm	Variance	R	P	F
	0.001	0.46	0.81	0.59
Five-Frame Difference+	0.005	0.46	0.78	0.58
	0.01	0.46	0.54	0.50
	0.02	0.47	0.36	0.41
	0.001	0.82	0.66	0.73
GMM+	0.005	0.82	0.62	0.71
	0.01	0.81	0.53	0.64
	0.02	0.81	0.50	0.62
	0.001	0.88	0.74	0.80
ViBe+	0.005	0.88	0.63	0.73
	0.01	0.87	0.55	0.67
	0.02	0.85	0.43	0.57
	0.001	0.91	0.88	0.89
TVRPCA	0.005	0.90	0.85	0.87
	0.01	0.90	0.82	0.85
	0.02	0.89	0.78	0.83
	0.001	0.86	0.63	0.71
Optical Flow+	0.005	0.86	0.63	0.71
	0.01	0.86	0.63	0.71
	0.02	0.86	0.63	0.71
	0.001	0.92	0.90	0.91
Proposed algorithm	0.005	0.92	0.89	0.90
	0.01	0.91	0.88	0.89
	0.02	0.91	0.87	0.89

Table 3. Comparison of running time of different algorithms unit: s

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Table 3. Comparison of running time of different algorithms unit: s

Algorithm	(a)	(b)	(c)	(d)	(e)	Average
Five-Frame Difference+	24.80	25.23	27.02	24.24	26.28	26.30
ViBe+	98.78	93.43	95.87	96.13	96.41	95.12
Optical Flow+	101.14	102.62	101.98	104.34	102.82	103.27
GMM+	76.59	75.31	76.59	76.23	73.72	75.69
TVRPCA	256.30	236.45	255.23	232.27	246.46	226.37
Proposed algorithm	31.16	30.79	30.27	31.30	30.03	30.71

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Na Li, Kuangang Fan, Yahui Liu, Qinghua Ouyang. Unmanned Aerial Vehicle Detection Based on ASRPCA Fused with Five-Frame Difference[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2015007

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Paper Information

Category: Machine Vision

Received: Dec. 3, 2020

Accepted: Jan. 21, 2021

Published Online: Oct. 14, 2021

The Author Email: Fan Kuangang (kuangangfriend@163.com)

DOI:10.3788/LOP202158.2015007

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology