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| Traffic Flow Background Detection Algorithm Based on Improved Gaussian Mixture Model |
| LV Fu-Qiang-1 , WANG Hui-1, LIU Hong-2 |
| (1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027; 2. Department of Information and Electronics, Zhejiang University City College, Hangzhou 310015, China) |
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Abstract Aiming at the uniform characteristics of background pixels in traffic flow video, a spatial-temporal dual Gaussian mixture model background detection algorithm was proposed. Firstly the temporal Gauss mixture model was built to detect the background in temporal domain, and a double-threshold method was introduced to detect the background and foreground. When the detection result was uncertain, the spatial Gauss mixture model was built, and the spatial detection result was used to replace the temporal detection result. The experimental comparisons with different traffic flow video demonstrate that the proposed algorithm in this paper improves robustness in the initial stage and decreases the detection fault also when parking phenomenon occurrs.
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Received: 17 May 2012
Published: 29 December 2012
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