Laser & Optoelectronics Progress, Volume. 56, Issue 1, 011007(2019)
Moving Object Detection Algorithm Based on Improved Visual Background Extractor Algorithm
Figures & Tables(6)
Fig. 3. Comparison of test results in pedestrians video sequence. (a) Initialization frame; (b) input 340th frame; (c) input 430th frame; (d) GMM result of 340th frame; (e) GMM result of 430th frame; (f) Vibe method result of 340th frame; (g) Vibe method result of 430th frame; (h) proposed method result of 340th frame; (i) proposed method result of 430th frame
Fig. 5. Comparison of test results in overpass video sequence of 2705th frame. (a) Input frame; (b) GMM result; (c) Vibe method result; (d) proposed method result
Table 1. Comparison of algorithm capability
View tableTable 1. Comparison of algorithm capability
Performance parameter GMM Vibe method Proposed method Recall 0.4847 0.6671 0.6557 Specificity 0.9851 0.9671 0.9937 FPR 0.0158 0.0317 0.0087 FNR 0.342 0.1471 0.1624 Precision 0.7390 0.6416 0.8122 PWC /% 2.7982 3.1222 1.4867 FPS /(frame·s-1) 19.67 50.12 38.33
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Xu Wang, Yi Liu, Guoyan Li. Moving Object Detection Algorithm Based on Improved Visual Background Extractor Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011007
Paper Information
Category: Image Processing
Received: Jun. 4, 2018
Accepted: Jul. 24, 2018
Published Online: Aug. 1, 2019
The Author Email: Li Guoyan (lgy2351076@163.com)
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