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Patent Agency Ranking
公开(公告)号：US10096122B1
公开(公告)日：2018-10-09
申请号：US15472041
申请日：2017-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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公开(公告)号：US10083352B1
公开(公告)日：2018-09-25
申请号：US15631449
申请日：2017-06-23
Applicant: Amazon Technologies, Inc.
Inventor： Mashhour Solh , Lelin Zhang , Jinglun Gao
CPC classification number: G06K9/00362 , G06K9/00335 , G06K9/00369 , G06K9/00771 , G06K9/20 , G06K9/3241 , G06K9/4609 , G06T2207/30196
Abstract: A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To reduce false positive detections, the system may track the false positive detections as heatmap base data and may remove the heatmap base data from the heatmap. Thus, pixel intensity values corresponding to the false positive detections may be reduced to improve an accuracy of the human presence detection.
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公开(公告)号：US10198823B1
公开(公告)日：2019-02-05
申请号：US16110767
申请日：2018-08-23
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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公开(公告)号：US10380853B1
公开(公告)日：2019-08-13
申请号：US15601752
申请日：2017-05-22
Applicant: Amazon Technologies, Inc.
Inventor： Mashhour Solh , Lelin Zhang , Jinglun Gao
IPC: H04N7/18 , G08C23/04 , G08B13/194 , H04N5/33 , G08B13/18
Abstract: A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To distinguish the strongest cluster from a second strongest cluster of pixels, the system may apply a Gaussian kernel with varying threshold values. The system may store the threshold value at which the strongest cluster separates from the second strongest cluster and may use the threshold value to generate the bounding box.
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公开(公告)号：US09965865B1
公开(公告)日：2018-05-08
申请号：US15473334
申请日：2017-03-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Prakash Ramu , Lelin Zhang , Qiang Liu , Yadunandana Nagaraja Rao , Rohith Mysore Vijaya Kumar , Weijian Wang
CPC classification number: G06T7/194 , G06K9/00201 , G06K9/00234 , G06K9/00369 , G06K9/2027 , G06K9/22 , G06K9/4652 , G06K9/6218 , G06K9/6257 , G06K9/6267 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , H04N13/204
Abstract: Devices and techniques are generally described for segmentation of image data using depth data. In various examples, color image data may be received from a digital camera. In some examples, depth image data may be received from a depth sensor. In various examples, the depth image data may be separated into a plurality of clusters of depth image data, wherein each cluster is associated with a respective range of depth values. In some further examples, a determination may be made that a first cluster of image data corresponds to an object of interest, such as a human subject, in the image data. In various examples, pixels of the first cluster may be encoded with foreground indicator data. In some further examples, segmented image data may be generated. The segmented image data may comprise pixels encoded with the foreground indicator data.
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