一种用于车辆乘员检测系统的车辆挡风玻璃区域定位方法

Xue Yuan, Yifei Meng, Xueye Wei
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引用次数: 7

摘要

研究了一种最大能量提取车辆挡风玻璃区域的方法,该方法结合车辆挡风玻璃区域的颜色(灰度)、形状和复杂程度等信息进行定位,可成功应用于车辆乘员检测与识别系统。首先,采用mean-shift分割方法将车辆图像分割成若干段,并采用Hough变换方法从车辆边缘提取形状线,这些形状线组成若干梯形作为候选区域;然后,提出了最大能量法从候选区域中选择最终挡风玻璃区域。最后,采用基于梯度直方图(Histograms of Oriented Gradients, HOG)描述符的方法对提取的挡风玻璃区域中的乘员进行检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of location the vehicle windshield region for vehicle occupant detection system
This paper investigates a maximum energy method to extract the windshield regions from the vehicles, proposed method combines the information of color (gray-scale), shape and complexity for location the vehicle windshield region, which can be applied vehicle occupant detection and recognition system successfully. Firstly, the mean-shift segmentation method is adopted to divide the vehicle image into several segments, and Hough transform method is adopted to extract the shape lines from edges of vehicle, these shape lines compose several trapezoids as candidate regions. Then, the maximum energy method is proposed to select final windshield region from the candidate regions. Finally, Histograms of Oriented Gradients (HOG) descriptors based method is adopted to detect the occupants in the extracted windshield regions.
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