基于改进的CAM偏移算法实现运动车辆跟踪

Realization of moving vehicle tracking based on improved CAM offset algorithm

与无人车驾驶相关的计算机技术发展火热,其中车辆识别技术在智能交通监控、智能交通信息系统等方面应用越来越广泛。车辆识别包含了运动车辆检测、型别分类、车辆跟踪等内容。对智能车无人驾驶技术中的车辆识别检测等关键技术进行了深入的探究,采用车辆的图像识别结果,选择用平均值求色差值作为识别基础的CAM偏移算法。该算法采用车辆颜色作为特征进行跟踪检测,不会随着车辆的明暗、形状变化被干扰,在车辆识别过程中具有较高的可靠性。对该算法加以改进,实现了对车辆更好的识别。

The computer technology related to unmanned vehicle driving is developing rapidly,and the vehicle identification technology is more and more widely used in intelligent traffic monitoring and intelligent traffic information systems.Vehicle identification includes sports vehicle detection,type classification,vehicle tracking and so on.In this paper,the key technologies such as vehicle identification detection in smart car unmanned technology are deeply explored.Using the image recognition result of the vehicle,this paper chooses the CAM offset algorithm based on the average color difference value as the basis for identification.The algorithm uses the vehicle color as the feature to perform the tracking detection method,and does not follow the light and dark of the vehicle.The shape change is disturbed,and the reliability in the vehicle identification process is high.This algorithm is improved to achieve better recognition of the vehicle.