摘要
地磁感应线圈是一种传统的卡口触发信号源,该信号源原理简单,性能稳定可靠,但其施工不便、容易损毁等诸多问题在现代交通中逐渐凸显。随着视频监控的高清化、数字化程度逐渐提高及数字图像处理技术的进步,出现了以视频图像本身为信号源的牌照识别卡口触发和基于多级分类的车辆模型触发等新的卡口触发方式。前者对于车牌污损和无牌车辆不能提供较好的解决方案,后者不仅计算量大,且较难提取出通用性较好的车辆分类器。提出利用视频图像虚拟线圈技术,利用视频灰度时序实现车辆目标触发,并通过车辆平面模型编码特性消除遮挡误差。该算法运算速度快,可自适应地动态调整检测参数,具有环境适应性强和鲁棒性高等优点。
Geomagnetic induction coil is a traditional traffic trigger signal source. The principle is straightforward, and the per formance stable and reliable. But it is easy to damage and involves construction work. On the other hand, as the improvement of the video surveillance equipment and the progress of the digital image processing technology, some new traffic trigger modes based on video itself, such as video license plate recognition and multi level classification of vehicle model triggering, come a- long. The former can not deal with license plate defacement or unlicensed vehicles, and the latter is not only computationally in- tensive, but vehicle classification model dependent. A meaningful vehicle classification model takes effort to build. This paper proposes the video image virtual coil technology, with the video gray level timing to achieve vehicle target trigger, and the vehi- cle discrimination on basis of their plane model coding characteristics to eliminate the occlusion error. The algorithm is fast and adaptive, and has high ambient tolerance and robustness.
出处
《上海船舶运输科学研究所学报》
2017年第3期64-70,共7页
Journal of Shanghai Ship and Shipping Research Institute
关键词
卡口
线圈
视频
灰度
遮挡
traffic
detection coil
video
grayseale
shelter
