A vehicle detection and traffic statistics algorithm based on improved Gaussian model is proposed. The moving target is detected by using improved single Gaussian model at first. Then the Shadows are eliminated through HSV feature space,and the accuracy rate of target extraction is raised. Finally the traffic is counted in the suppositional areas of lanes. The paper makes experiments with standard test video. The results show that the algorithm can detect vehicle quickly and have a higher recognition rates. The algorithm can work well in the actual conditions.
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朱华生,叶军.基于改进高斯模型的车流量检测算法[J].激光与红外,2013,43(10):1180~1183 ZHU Hua-sheng, YE Jun. Adaptive vehicle detection and traffic statistics algorithm based on improved Gaussian model[J]. LASER & INFRARED,2013,43(10):1180~1183