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Rear object detection method based on optical flow and vehicle information for moving vehicle

机译:基于光流和车辆信息的后方物体检测方法

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This paper proposes a method to detect rear object using vehicle information and optical flow in moving vehicles. The previous method detects objects by method using optical flow, background removal, and frame difference in the stopped vehicle state. In particular, optical flow method uses analysis of background or flow distribution to remove the background flow. In this paper, however, objects detect in moving vehicles by removing the background flow generated by vehicle movement using vehicle information. The performance of the proposed algorithm evaluated through experiments using stored images and vehicle information obtained from actual moving vehicles.
机译:提出了一种利用车辆信息和光流在运动中的车辆中检测后方物体的方法。先前的方法通过在停止的车辆状态下使用光流,背景去除和帧差的方法来检测对象。特别地,光流方法使用背景分析或流分布分析来去除背景流。然而,在本文中,物体通过使用车辆信息去除由车辆运动产生的背景流来检测运动中的车辆。通过使用存储的图像和从实际行驶中的车辆获得的车辆信息的实验,对所提出算法的性能进行了评估。

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