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公开(公告)号：US20160180159A1
公开(公告)日：2016-06-23
申请号：US14907744
申请日：2014-07-30
Applicant: CONNAUGHT ELECTRONICS LTD.
Inventor： James McDonald , John McDonald
CPC classification number: G06K9/00369 , G06K9/00348 , G06K9/00805 , G06T7/136 , G06T7/215 , G06T2207/30196 , G06T2207/30241 , G06T2207/30261
Abstract: The invention relates to a method for detecting a pedestrian (27) moving in an environmental region of a motor vehicle relatively to the motor vehicle based on a temporal sequence of images (18) of the environmental region, which are provided by means of a camera of the motor vehicle (1), wherein characteristic features are extracted from the images (18) and a plurality of optical flow vectors is determined to the characteristic features of at least two consecutively captured images of the sequence by means of an image processing device of the motor vehicle, which indicate a movement of the respective characteristic features over the sequence, wherein for detecting the pedestrian (27), several confidence metrics are determined based on the characteristic features and the optical flow vectors, and based on the confidence metrics, it is examined if a preset plausibility check criterion required for the detection of the pedestrian (27) is satisfied, wherein the pedestrian (27) is supposed to be detected if the plausibility check criterion with respect to the confidence metrics is satisfied.
Abstract translation: 本发明涉及一种基于环境区域的图像（18）的时间序列来检测在机动车辆的环境区域中相对于机动车辆移动的行人（27）的方法，所述图像（18）是借助于相机 ，其中从所述图像（18）中提取特征特征，并且通过图像处理装置将所述序列的至少两个连续捕获的图像的特征确定多个光学流向量 其指示所述序列上的相应特征的移动，其中为了检测行人（27），基于特征特征和光流向量确定几个置信度量，并且基于置信度量 检查是否满足检测行人（27）所需的预设合理性检查标准，其中假设行人（27） 如果满足相对于置信度量度的合理性检查标准，则被检测。
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公开(公告)号：US09934428B2
公开(公告)日：2018-04-03
申请号：US14907744
申请日：2014-07-30
Applicant: Connaught Electronics Ltd.
Inventor： James McDonald , John McDonald
CPC classification number: G06K9/00369 , G06K9/00348 , G06K9/00805 , G06T7/136 , G06T7/215 , G06T2207/30196 , G06T2207/30241 , G06T2207/30261
Abstract: The invention relates to a method for detecting a pedestrian (27) moving in an environmental region of a motor vehicle relatively to the motor vehicle based on a temporal sequence of images (18) of the environmental region, which are provided by means of a camera of the motor vehicle (1), wherein characteristic features are extracted from the images (18) and a plurality of optical flow vectors is determined to the characteristic features of at least two consecutively captured images of the sequence by means of an image processing device of the motor vehicle, which indicate a movement of the respective characteristic features over the sequence, wherein for detecting the pedestrian (27), several confidence metrics are determined based on the characteristic features and the optical flow vectors, and based on the confidence metrics, it is examined if a preset plausibility check criterion required for the detection of the pedestrian (27) is satisfied, wherein the pedestrian (27) is supposed to be detected if the plausibility check criterion with respect to the confidence metrics is satisfied.
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