基于视频的交通信息采集方法

Video-based traffic information acquisition method

Abstract

The invention discloses a video-based traffic information acquisition method. The method comprises the following steps: based on the image processing and the mode identification theory, setting a detection region and carrying out geometric correction, extracting the foreground object by Gaussian Mixture Model, identifying a target by a separator, matching the identification result with the foreground object, eliminating the detected false-alarm, fusing the particle filter algorithm and the vehicle detection algorithm to achieve the self-adaptive track of vehicles, achieving the effective target increase and target fusion on basis of the detection result, and finally achieving the calculation of parameters, such as flow statistics, speed, intensity, time occupancy ratio and the like. Furthermore, according to the detection track result; the microscopic traffic analysis on the target, such as the detection on illegally parked vehicles, retrogradation, and overspeed can be also carried out. At the same time, the traffic status, such as traffic congestion detection can be judged; and the queue length calculation under the congestion condition can be calculated. The method has the advantages of high accuracy and low computing complexity and can meet the requirement of the actual application.
本发明公开基于视频的交通信息采集方法。该方法基于图像处理和模式识别理论,依次经过检测区域设置并进行几何校正,高斯背景建模提取出前景目标,采用分离器进行目标的识别,并将识别结果与前景区域进行匹配,消除检测的虚警,融合粒子滤波算法和车辆检测算法实现车辆的自适应跟踪,在检测结果的基础上实现有效的增加目标和目标融合,最终实现本发明的流量统计、以及速度、密度、时间占有率等参数的计算。另外,本发明根据检测跟踪结果,还可对目标进行微观交通分析,如违章停车、逆行、超速等检测。同时,可实现交通状态的判断,如拥堵检测,并可进行拥堵情况下的排队长度计算。本发明具有准确性高、计算复杂度低的优点,可满足实际应用的需要。

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