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公开(公告)号：US20150178943A1
公开(公告)日：2015-06-25
申请号：US14567119
申请日：2014-12-11
Applicant: QUALCOMM INCORPORATED
Inventor： Christopher Li , Xin Zhong , Dashan Gao , Yingyong Qi , Kai Guo
CPC classification number: G06T7/223 , G06K9/00624 , G06K9/4647 , G06K9/6202 , G06T7/20 , G06T7/246 , G06T2207/10004 , G06T2207/20021 , G06T2207/30241 , G06T2210/12 , H04N5/232
Abstract: A method includes receiving first data defining a first bounding box for a first image of a sequence of images. The first bounding box corresponds to a region of interest including a tracked object. The method also includes receiving object tracking data for a second image of the sequence of images, the object tracking data defining a second bounding box. The second bounding box corresponds to the region of interest including the tracked object in the second image. The method further includes determining a similarity metric for first pixels within the first bounding box and search pixels within each of multiple search bounding boxes. Search coordinates of each of the search bounding boxes correspond to second coordinates of the second bounding box shifted in one or more directions. The method also includes determining a modified second bounding box based on the similarity metric.
Abstract translation: 一种方法包括接收为图像序列的第一图像定义第一边界框的第一数据。 第一边界框对应于包括跟踪对象的感兴趣区域。 该方法还包括接收图像序列的第二图像的对象跟踪数据，对象跟踪数据定义第二边界框。 第二边界框对应于包括第二图像中的跟踪对象的感兴趣区域。 该方法还包括确定第一边界框内的第一像素的相似性度量和搜索多个搜索边界框内的像素。 每个搜索边界框的搜索坐标对应于在一个或多个方向上移位的第二边界框的第二坐标。 该方法还包括基于相似性度量来确定修改的第二边界框。
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公开(公告)号：US09836852B2
公开(公告)日：2017-12-05
申请号：US14567119
申请日：2014-12-11
Applicant: QUALCOMM Incorporated
Inventor： Christopher Li , Xin Zhong , Dashan Gao , Yingyong Qi , Kai Guo
CPC classification number: G06T7/223 , G06K9/00624 , G06K9/4647 , G06K9/6202 , G06T7/20 , G06T7/246 , G06T2207/10004 , G06T2207/20021 , G06T2207/30241 , G06T2210/12 , H04N5/232
Abstract: A method includes receiving first data defining a first bounding box for a first image of a sequence of images. The first bounding box corresponds to a region of interest including a tracked object. The method also includes receiving object tracking data for a second image of the sequence of images, the object tracking data defining a second bounding box. The second bounding box corresponds to the region of interest including the tracked object in the second image. The method further includes determining a similarity metric for first pixels within the first bounding box and search pixels within each of multiple search bounding boxes. Search coordinates of each of the search bounding boxes correspond to second coordinates of the second bounding box shifted in one or more directions. The method also includes determining a modified second bounding box based on the similarity metric.
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