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    • 1. 发明授权
    • Adaptive visual occupant detection and classification system
    • 自适应视觉占用者检测和分类系统
    • US08560179B2
    • 2013-10-15
    • US10783390
    • 2004-02-20
    • Otman Adam BasirDavid BullockEmil Breza
    • Otman Adam BasirDavid BullockEmil Breza
    • B60N2/002B60R21/015
    • B60R21/01542B60N2/002B60N2/286B60N2/2863B60R21/01538G06K9/00362
    • A vision-based vehicle occupant detection and classification system includes a camera mounted in the vehicle interior to capture low resolution images of the seating area. Image processing algorithms account for lighting, motion, and other phenomena. A spatial-feature matrix numerically describes the content of the image. This descriptor is the result of a number of digital filters being run against a set of sub-images, derived from pre-defined window regions in the original image. This spatial-feature matrix is used as an input to an expert classifier function, which classifies this image as best representing a scenario in which the seat is (i) empty, (ii) occupied by an adult, (iii) occupied by a child, (iv) occupied by a rear-facing infant seat (RFIS), (v) occupied by a front-facing infant seat (FFIS), or (vi) occupied by an undetermined object.
    • 基于视觉的车辆乘员检测和分类系统包括安装在车辆内部以捕获座位区域的低分辨率图像的照相机。 图像处理算法考虑了照明,运动等现象。 空间特征矩阵以数字方式描述图像的内容。 该描述符是针对从原始图像中的预定窗口区域导出的一组子图像运行的多个数字滤波器的结果。 该空间特征矩阵用作专家分类器功能的输入,其将该图像分类为最佳,表示座位(i)为空,(ii)被成人占据的情景,(iii)由小孩占据 ,(iv)由背面婴儿座椅(RFIS)占据,(v)由前面的婴儿座椅(FFIS)占据,或(vi)由未确定的物体占据。