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Vehicle window detection based on line features

机译:基于线特征的车窗检测

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摘要

Quickly and accurately locating vehicle windows will greatly improve efficiency of occupant detection in High-occupancy vehicle (HOV) system. Based on the fact that vehicle's windscreen has the geometric characteristics of line borders, a method involving frame difference, optimized edge detection and Hough transform to perform vehicle window detection is proposed. Experimental results have indicated that the proposed is effective for various vehicle type and color under different lighting conditions and backgrounds; and that its average executive time for each vehicle and success rate is 10∼20ms and 95.4% respectively.
机译:快速准确地定位车窗将大大提高高占用车辆(HOV)系统中乘员检测效率。基于车辆的挡风玻璃具有线边界的几何特性,提出了一种涉及帧差,优化边缘检测和霍夫变换来执行车窗检测的方法。实验结果表明,在不同的照明条件和背景下,该提议对各种车型和颜色有效;每辆车的平均行政时间和成功率分别为10~20ms,分别为95.4%。

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