Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241507(2020)
Moving Object Detection Under Rain and Snow Weather Conditions
Fig. 1. Framework of proposed algorithm
Fig. 2. Qualitative comparison results of different sequences. Blizzard sequence (a) 1096th frame images; (b) 1111th frame images; snowfall sequence (c) 807th frame images; (d) 832th frame images; sleet sequence (e) 680th frame images, (f) 688th frame images; (g) 3249th frame images in blizzard sequence; (h) 5692th frame images in skating sequence; (i) snow sequence; (j) ship sequence
Fig. 3. Influence of different parameters on measured value of F. (a) λ; (b) μ
Fig. 4. Comparison results of different constraints on different sequences. Snowfall sequence (a) 807th frame images, (b) 832th frame images; wet snow sequence (c) 680th frame images, (d) 688th frame images
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Guoliang Yang, Dingling Yu, Yang Wang, Yanfang Wang. Moving Object Detection Under Rain and Snow Weather Conditions[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241507
Category: Machine Vision
Received: May. 8, 2020
Accepted: Jun. 17, 2020
Published Online: Dec. 1, 2020
The Author Email: Yu Dingling (ydl_1001@163.com)