基于智能相机的混合交通流检测方法

Developing a smart camera for mixed traffic flow detection

针对目前缺乏混合交通视频智能检测设备的问题,利用CCD传感器与DSP芯片构建了智能相机框架体系和硬件原型系统,采用背景初始化、背景模型与前景获取、物体分割、特征提取、多目标识别分类、摄像机参数标定等视频图像处理技术,构建了混合交通流检测软件方法体系,开发了相应的嵌入式算法系统,实现了混合交通流参数检测。在不同交通状态下的测试结果反映了该系统具有良好的性能,可实现混合交通流参数检测。本方法可为混合交通流智能相机的研发提供借鉴和参考。

Smart cameras in detection of mixed traffic flow parameters are in shortage. This creates a huge load of communication between the cameras and monitoring center. To solve this problem, this paper proposes a method of hardware and software codesign and implementation of a smart camera platform to detect mixed traffic flow parameters. Charge-coupled Device （CCD） camera sensor and Digital Signal Processor （DSP） are used to construct the camera hardware prototype. The video processing methods including background initialization, background model, foreground obtaining, image segmentation, pattern extraction, multi-classification etc. are used to construct the software system. Experiments were conducted under different mixed traffic conditions to test the camera system. Results show that this system can accurately obtain mixed traffic flow parameters. This study provides a reference for the development of smart camera system for mixed traffic detection.