基于视频角点信息特征的交通流参数测算方法

提出了一种基于视频图像中角点特征的交通参数检测方法．首先设置检测区域，并将检测区域分为初始检测区和跟踪检测区，在初始检测区内对运动车辆的存在性进行检测．为了加快计算速度，利用虚拟线状态检测的方法判断车辆是否驶入，如果有运动车辆出现，则对运动车辆的角点进行定位，并在初始检测区内实现状态参数的初始化．在跟踪检测区．基于刚体运动的一致性假设，依据角点的分布特征对车辆进行分割，实现对运动车辆的跟踪．在车辆完全驶离跟踪区域时，统计交通流的流量、速度以及车型等信息．

Parameter Detection for Traffic Flow Based on Characteristics of Video Corner Information

This paper proposes a detection method of traffic parameters based on the characteristics of video comer information, in which a detection region is divided into an initial one and a tracing one. In the initiative detection region, the existence of moving vehicles is tested, and a suppositional line state detection is carried out to determine whether the vehicle is moving in, thus speeding up the calculation. When a vehicle is moving in, its comers are firstly located and its state parameters are initialized. In the tracing region, the objections are segmented and traced on the basis of their comer characteristics and according to the kinetic consistency hypothesis of the rigid body. At the end of the tracing, the information, such as the traffic flow, the average velocity and the vehicle type, is computed.