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Method for detecting a target object on the basis of a camera image by clustering a plurality of adjacent image cells, camera device and motor vehicle

机译:通过对多个相邻图像单元进行聚类而基于照相机图像检测目标物体的方法,照相机装置和机动车辆

摘要

The invention relates to a method for detecting a target object (5a, 5b, 5c) in a surrounding area of a camera on the basis of an image (7) of the surrounding area provided by the camera by determining a multiplicity of characteristic features in the picture (7), with ground features and target characteristics are distinguished; by dividing at least a partial region (12) of the image (7) into a plurality of image cells (13) and for each image cell (13), checking whether the image cell (13) contains a ground feature or a target feature; by classifying those image cells (13) as target cells (13b) that contain a target feature and those image cells (13) as bottom cells (13a) that include a bottom feature; and by detecting the target object (5a, 5b, 5c) by combining a plurality of neighboring image cells (13) into a target cluster, taking into account both the target cells (13b) and the ground cells (13a).
机译:本发明涉及一种用于通过确定相机中的多个特征来基于相机提供的周围区域的图像(7)来检测相机周围区域中的目标物体(5a,5b,5c)的方法。图片(7)具有地面特征和目标特征。通过将图像(7)的至少部分区域(12)划分为多个图像单元(13),并且对于每个图像单元(13),检查图像单元(13)是否包含地面特征或目标特征;通过将那些图像单元(13)分类为包含目标特征的目标单元(13b),并且将那些图像单元(13)分类为包括底部特征的底部单元(13a);通过将多个相邻图像单元(13)组合成目标簇来检测目标物体(5a,5b,5c),同时考虑目标单元(13b)和地面单元(13a)。

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