基于ARM的车辆视频检测技术研究

为解决交通拥堵问题, 设计并实现了一套具有实时、便捷、低成本、高精度、低误差的智能交通系统(ITS: Intelligent Transport System)。该系统由道路上架设的摄像头采集实时交通图像为主要研究对象, 在嵌入式Linux 系统下, 采用开源计算机视觉库(OpenCV)对车辆变道的行为信息进行统计计算, 并将完整程序移植到ARM11 微处理器上实现该算法。实验结果表明, 该系统的实时性好、统计结果准确; 系统工作稳定, 数据传输准确, 有效地避免了外界干扰, 具有较强的实用性。

Traffic Video Detection of Vehicle Lane Change Based on ARM

To solve the increasing serious traffic congestion problem, we designed and implemented a set of real-time, convenient, low cost, high precision and low error ITS ( Intellcgent Transportation System).Using road set up cameras to collect real-time traffic image as the main object of study, under the embedded
Linux system, we use the OpenCV(Open-source Computer Vision library) to carry out the vehicle lane change behavior information statistical calculations, and transplant the complete application to the ARM11 microprocessor on which we realizes hardware implementation. The experimental results show that the system is accurate, stable and has a good real-time performance effectively avoiding the interference, has strong practicability.