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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Multi-lane traffic flow monitoring and detection system based on video detection
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Multi-lane traffic flow monitoring and detection system based on video detection

机译：基于视频检测的多通道交通流量监测与检测系统

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The paper adopts the improved ViBe algorithm, and initializes the background sample according to the original algorithm. Using the idea of image binarization, the current frame image is subjected to the foreground detection of the traditional ViBe, and then the second judgment is made according to the number of times the target is judged, and the original is changed. The fixed background factor in the algorithm background update strategy increases the background update probability during shadow elimination. Experiments show that the method can eliminate shadows in time and improve the accuracy of motion vehicle detection in different scenarios. At the same time, the paper designs a multi-lane traffic flow monitoring system based on improved ViBe algorithm combined with IoT ZigBee technology. The flow monitoring accuracy of the algorithm is verified.
机译：本文采用改进的Vibe算法，并根据原始算法初始化背景样本。 使用图像二值化的思想，当前帧图像经受传统氛围的前景检测，然后根据判断目标的次数进行第二判断，并且原始改变。 算法背景更新策略中的固定背景系数增加了阴影消除期间的背景更新概率。 实验表明，该方法可以及时消除阴影，提高不同场景中运动车辆检测的准确性。 同时，本文设计了一种基于改进的Vibe算法的多通道交通流量监测系统，结合物联网ZigBee技术。 验证了算法的流量监视精度。

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