摘要
道路车辆的实时识别是完善智能交通运输系统必要的技术手段,它不仅能够为智能系统提供可靠的基础数据,而且是检测智能系统实时性的必要前提,现有车辆识别技术一般都难以脱离计算机工作,针对此种情况,提出利用具有广泛适应性和终端接口的openCV技术实现车辆的实时检测与跟踪,该技术利用帧间差分技术确定像素点的运动与否,从而依据像素点的运动情况以及阈值分割完成对运动目标的跟踪检测,此外,利用camshift算法实现车辆的自动跟踪检测。
The real-time recognition of road vehicles is a necessary technical way to improve the intelligent transportation system. It is not only able to provide a reliable basis data for intelligent systems, but also is a necessary precondition for real-time intelligent detection system. At present vehicle identification technology can be not able to work away from the computer, as for this situation, this paper provides a method to achieve real-time detection and tracking of the vehicle with the openCV technology, which has a wide adaptability and terminal interface. This technology uses the differ-interframe technique to determine the pixel motion or not, thus, it complete the tracking and detection of moving targets with the pixels of movement as well as threshold segmentation. In addition, it uses camshift algorithm to achieve automatic tracking and detection of vehicle
出处
《汽车实用技术》
2013年第2期23-26,共4页
Automobile Applied Technology
