The invention discloses a traffic flow detection method based on a traffic video network and relates to the field of intelligent traffic. The method comprises steps of firstly, acquiring video data and setting detection points; reading video stream data, performing gray processing, and detecting a gray value of a point; judging the change condition of a gray value difference value and storing thejudgment result; and finally, judging whether a vehicle passes or not according to values of a pulse counter and a steady-state counter, and counting. The method is advantaged in that a single-pixel reference threshold value method is adopted, a high-difficulty and high-resource-requirement video image processing algorithm is avoided, moreover, the requirement for the resolution/definition of thevideo stream data is low, the detection method is simple, the CPU occupancy rate is low, accuracy is high, and adaptability to environmental changes is high.
本发明公开了一种基于交通视频网的车流量检测方法,涉及智能交通领域。首先获取视频数据并设定检测点;然后读取视频流数据,并进行灰度处理,检测点的灰度值;之后判断灰度值差值变化情况并保存判断结果;最后根据脉冲计数器和稳态计数器的数值判断是否有车辆通过,并计数。本发明采用用单像素基准阀值的办法,避免了高难度的,高资源需求的视频图像处理的算法。同时对视频流数据的分辨率/清晰度要求低,检测方法简单,CPU占用率低,准确度高,对环境变化的适应性较强。
Traffic flow detection method based on traffic video network
一种基于交通视频网的车流量检测方法
2020-06-09
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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