Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410011(2021)
Moving Object Detection in Static Scene Based on Improved ViBe Algorithm
Figures & Tables(7)
Fig. 4. Detection results of three algorithms. (a) Video frames; (b) ViBe algorithm; (c) ViBe algorithm combined with three-frame difference; (d) proposed algorithm
Fig. 5. Detection results of moving object. (a) Video frames; (b) ground truth; (c) ViBe algorithm; (d) Gaussianmixture model; (e) Ref. [22]; (f) proposed algorithm
Fig. 6. Performance polylines of each algorithm. (a) P;(b) R;(c) F-measure;(d) average time
Table 1. Evaluation index of different algorithms
View tableTable 1. Evaluation index of different algorithms
Evaluation index Algorithm Office Fall Snowfall Pedestrians Precision ViBe 0.8744 0.7865 0.5944 0.8919 GMM Ref. [22] 0.8112 0.8454 0.6831 0.5129 0.8234 0.6991 0.9394 0.8283 Ours 0.9605 0.7102 0.8229 0.9364 Recall ViBe 0.7575 0.4140 0.9238 0.2231 GMM Ref. [22] 0.9230 0.9975 0.6905 0.8144 0.9429 0.9419 0.7512 0.8696 Ours 0.9889 0.9499 0.9904 0.8528 F-measure ViBe 0.8118 0.5425 0.7233 0.3570 GMM Ref. [22] 0.8635 0.9151 0.6868 0.6294 0.8791 0.8025 0.8348 0.8484 Ours 0.9745 0.8128 0.8701 0.8926
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Min’an Tang, Chenyu Wang. Moving Object Detection in Static Scene Based on Improved ViBe Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410011
Paper Information
Category: Image Processing
Received: Sep. 25, 2020
Accepted: Nov. 12, 2020
Published Online: Jul. 6, 2021
The Author Email: Chenyu Wang (794730778@qq.com)
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