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首页> 外文期刊>International journal of wireless and mobile computing >Road recognition and motion target traclting based on infrared image
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Road recognition and motion target traclting based on infrared image

机译：基于红外图像的道路识别与运动目标跟踪

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Road recognition is a very important link in the safe driving of vehicles. In this paper, a region based road recognition method is proposed for infrared road images. Noise is eliminated by mean filtering and threshold segmentation. Then, the road boundary segments are obtained by the threshold exhaustive method, and the road boundary segments are obtained by the second-order differential operator. The road boundary segments obtained by the two methods are fused to obtain the candidate road boundary segments. Finally, the real road boundary is obtained by optimising the line fitting. For the identified road, the moving target tracking based on interacting multi-mode Kalman filter is adopted. The simulation results show that the interacting multimode Kalman filter can achieve better trajectory fitting, and the errors in X and Y directions before and after filtering are small. This shows the excellent performance of interacting multimode Kalman filter in moving target detection.
机译：道路识别是车辆安全驾驶中的一个非常重要的联系。 本文，提出了一种基于区域的道路识别方法，用于红外路图像。 通过平均滤波和阈值分割消除了噪音。 然后，通过阈值穷举方法获得道路边界段，并且通过二阶差分操作器获得道路边界段。 通过两种方法获得的道路边界段被融合以获得候选道路边界段。 最后，通过优化线配件来获得真正的道路边界。 对于所识别的道路，采用了基于交互多模式Kalman滤波器的移动目标跟踪。 仿真结果表明，相互作用的多模卡尔曼滤波器可以实现更好的轨迹配件，滤波前后x和y方向的误差很小。 这表明在移动目标检测中交互多模Kalman滤波器的优异性能。

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