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公开(公告)号：US10319098B2
公开(公告)日：2019-06-11
申请号：US16119088
申请日：2018-08-31
Applicant: Raytheon Company
Inventor： Stephen R. Nash , Christopher A. Leddy , Hector A. Quevedo
Abstract: A system for processing video signal information to identify those pixels associated with a moving object in the presence of platform and/or sensor pointing induced motion. Frame differencing with self-adjusting noise thresholds is implemented to detect pixels associated with objects that are in motion with respect to the background and a field-by-field motion pixel map of pixels associated with the moving object is generated. A two (2) step pixel grouping process is used where the first pass runs in real-time as the video signal is received and writes the links between pixel groups into entries in a table. The second pass operates on a smaller set of link data and only needs to reorder entries in the table.
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公开(公告)号：US20190114785A1
公开(公告)日：2019-04-18
申请号：US16119088
申请日：2018-08-31
Applicant: Raytheon Company
Inventor： Stephen R. Nash , Christopher A. Leddy , Hector A. Quevedo
Abstract: A system for processing video signal information to identify those pixels associated with a moving object in the presence of platform and/or sensor pointing induced motion. Frame differencing with self-adjusting noise thresholds is implemented to detect pixels associated with objects that are in motion with respect to the background and a field-by-field motion pixel map of pixels associated with the moving object is generated. A two (2) step pixel grouping process is used where the first pass runs in real-time as the video signal is received and writes the links between pixel groups into entries in a table. The second pass operates on a smaller set of link data and only needs to reorder entries in the table.
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公开(公告)号：US10109064B2
公开(公告)日：2018-10-23
申请号：US15500369
申请日：2015-09-01
Applicant: Raytheon Company
Inventor： Stephen R. Nash , Christopher A. Leddy , Hector A. Quevedo
Abstract: A system for processing video signal information to identify those pixels associated with a moving object in the presence of platform and/or sensor pointing induced motion. Frame differencing with self-adjusting noise thresholds is implemented to detect pixels associated with objects that are in motion with respect to the background and a field-by-field motion pixel map of pixels associated with the moving object is generated. A two (2) step pixel grouping process is used where the first pass runs in real-time as the video signal is received and writes the links between pixel groups into entries in a table. The second pass operates on a smaller set of link data and only needs to reorder entries in the table.
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公开(公告)号：US09232119B2
公开(公告)日：2016-01-05
申请号：US14048898
申请日：2013-10-08
Applicant: RAYTHEON COMPANY
Inventor： Stephen R. Nash , Christopher A. Leddy , Hoang K. Do
CPC classification number: H04N5/217 , G06T5/002 , G06T5/003 , G06T5/50 , G06T2207/20201 , H04N5/23203 , H04N5/23254 , H04N5/23277
Abstract: A method for integrating image frames includes receiving for each pixel in at least one image frame a value representative of a sensor measurement. The method includes calculating an average difference of the value representative of the sensor measurement over a subset of the plurality of image frames. The method includes detecting motion in at least one pixel of the image frame in the plurality of image frames based on the calculated average difference of the value representative of the sensor measurement over the subset of the plurality of image frames. The method also includes generating an integrated image frame wherein each pixel having detected motion is integrated by an amount less than that of those pixels for which motion is not detected. The amount of frame integration is based on contrast levels, expected rates of motion, and noise characteristics of sensor input image data.
Abstract translation: 用于对图像帧进行积分的方法包括：在至少一个图像帧中的每个像素接收表示传感器测量值的值。 该方法包括计算代表多个图像帧的子集的传感器测量的值的平均差。 该方法包括基于计算出的代表多个图像帧的子集上的传感器测量值的平均值来检测多个图像帧中的图像帧的至少一个像素中的运动。 该方法还包括生成集成图像帧，其中具有检测到的运动的每个像素的积分小于未检测到运动的像素的量。 帧积分的量基于传感器输入图像数据的对比度水平，预期运动速率和噪声特性。
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