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Method for Detecting Cars Cutting in to Change Lanes by Using Image Frames Played in Reverse

机译:利用倒车影像帧检测切入变道的汽车的方法

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In this paper, we suggest a method for tracking cars that violate traffic laws restricting cut in lane changes. We also present experimental results, which show that the tracking method can be implemented in unmanned instruments for detecting violating car by using the image frames played in reverse. Two kinds of camera were installed as a set at the Yang-Jae IC in Korea: A recognition-camera (R_c), and A tracking-camera (T_c). The R_c reads a plate number and the T_c tracks cars in a region of interest (ROI). The T_c determines whether or not the cars violate the law by analyzing image frames played in reverse. A plate number recognition algorithm was provided by KNU DILAB, and the KLT algorithm was used for tracking cars in the ROI. Our experimental findings show that the proposed method can be applied to unmanned systems for cars that illegally cut in to change in lanes.
机译:在本文中,我们提出了一种跟踪违反交通法规,限制车道变更的车辆的跟踪方法。我们还提供了实验结果,表明该跟踪方法可以通过使用反向播放的图像帧在无人驾驶汽车检测违规汽车中实现。韩国Yang-Jae IC上安装了两种相机,分别是识别相机(R_c)和跟踪相机(T_c)。 R_c读取车牌号,T_c跟踪感兴趣区域(ROI)中的汽车。 T_c通过分析反向播放的图像帧来确定汽车是否违反法律。 KNU DILAB提供了车牌号识别算法,并且KLT算法用于在ROI中跟踪汽车。我们的实验结果表明,所提出的方法可以应用于无人驾驶系统,用于非法闯入改变车道的汽车。

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