摘要
当前的车辆监测系统进行大型车辆监控的过程中,容易受到环境不可控因素的影响,造成监控过程形式单一,对车辆细节识别准确度较低;提出基于模糊视觉技术的大型车辆监控系统设计方法;系统由硬件和软件这两部分构成;硬件部分以FPGA为控制核心进行了设计,重点对交通图像的采集模块、缓存模块、摄像机方案、监视器方案和嵌入式处理器方案进行阐述;软件部分首先对图像进行预处理消除图像中的噪声.引入车辆细节模糊视觉特征识别模型表示外界随机因素的干扰,根据模型的输出结果计算车辆细节特征的像素密度,能够对车辆的细节状态进行准确识别;实验结果表明,利用设计的监控系统对大型车辆进行监控,能够有效提高监控的准确率,具有较强的稳定性。
The current vehicle monitoring system for large vehicles monitoring process, easily affected by environmental uncontrollable factors, cause monitoring process form a single, details of vehicle recognition accuracy is low. Put forward based on fuzzy vision technology of large vehicle monitoring system design method. System consists of the two parts of hardware and software. Hardware part has carried on the design with the FPGA as the core, focusing on traffic image acquisition module, the cache module, camera solutions, monitor, and elaborates the embedded processor solution; Software part, first of all, the image preprocessing to eliminate noise in image, the introduction of the visual characteristics of vehicle details fuzzy recognition model represents the interference of external random factors, according to the result of the output of the model calculating vehicle details the characteristics of the pixel density, can be to accurately identify the details of the vehicle state. The experimental results show that the use of design of monitoring system to monitor large vehicles, can effectively improve the monitoring accuracy, strong stability.
出处
《计算机测量与控制》
北大核心
2014年第9期2817-2819,共3页
Computer Measurement &Control
关键词
模糊视觉
大型车辆
监控系统
FPGA
fuzzy vision
Large vehicles
Monitor and control system
FPGA
