Object detection
    1.
    发明授权
    Object detection 有权
    对象检测

    公开(公告)号:US09460354B2

    公开(公告)日:2016-10-04

    申请号:US13888993

    申请日:2013-05-07

    CPC classification number: G06K9/00805 G06K9/00791 G06K9/4642 G06K9/6269

    Abstract: Objects are detected in real-time at full VGA 30 frame per second resolution. A preprocessor performs run-length encoding (RLE) and generates a summed area table (SAT) of an image. The RLE and SAT are used to identify candidate objects and to iteratively refine their boundaries. A histogram of gradients (HoG) and support vector machine (SVM) then reliably classify the object. The method may be part of an advanced driver assistance system (ADAS).

    Abstract translation: 实时检测物体的全VGA每秒30帧分辨率。 预处理器执行游程长度编码(RLE)并生成图像的求和区域表(SAT)。 RLE和SAT用于识别候选对象并迭代地改进边界。 梯度(HoG)和支持向量机(SVM)的直方图然后可靠地对对象进行分类。 该方法可以是高级驾驶员辅助系统(ADAS)的一部分。

    OBJECT DETECTION
    2.
    发明申请
    OBJECT DETECTION 有权
    对象检测

    公开(公告)号:US20140133698A1

    公开(公告)日:2014-05-15

    申请号:US13888993

    申请日:2013-05-07

    CPC classification number: G06K9/00805 G06K9/00791 G06K9/4642 G06K9/6269

    Abstract: Objects are detected in real-time at full VGA 30 frame per second resolution. A preprocessor performs run-length encoding (RLE) and generates a summed area table (SAT) of an image. The RLE and SAT are used to identify candidate objects and to iteratively refine their boundaries. A histogram of gradients (HoG) and support vector machine (SVM) then reliably classify the object. The method may be part of an advanced driver assistance system (ADAS).

    Abstract translation: 实时检测物体的全VGA每秒30帧分辨率。 预处理器执行游程长度编码(RLE)并生成图像的求和区域表(SAT)。 RLE和SAT用于识别候选对象并迭代地改进边界。 梯度(HoG)和支持向量机(SVM)的直方图然后可靠地对对象进行分类。 该方法可以是高级驾驶员辅助系统(ADAS)的一部分。

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