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公开(公告)号：US11858143B1
公开(公告)日：2024-01-02
申请号：US16807060
申请日：2020-03-02
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor： Chi Liu , Wei Wang , Rajesh Shankarrao Padgilwar , Ning Zhou , Kah Kuen Fu
CPC classification number: B25J9/1664 , B25J9/1697 , G05D1/0088 , G06F18/2113 , G06F18/22 , G06N3/04 , G06V20/10
Abstract: An autonomous mobile device (AMD) follows a user who may move among other people, change orientation, or move in and out view of a camera on the AMD. A predicted location of the user may be determined based on a previous location and previous movement. A proximity value is determined by the distance between a location in physical space of a user and the predicted location. An image from a camera is processed to determine a user depicted in the image and generate a feature vector (FV) of that depiction. A gallery of FVs of the user as viewed from different angles, poses, and so forth is stored. A similarity value is determined between a FV of an unidentified user in an image and the FVs in the gallery. The user may be identified using the proximity value and the similarity value.
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公开(公告)号：US10027883B1
公开(公告)日：2018-07-17
申请号：US14307491
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
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公开(公告)号：US20140313858A1
公开(公告)日：2014-10-23
申请号：US14322818
申请日：2014-07-02
Applicant: Amazon Technologies, Inc.
Inventor： Andrew D. Price , Kah Kuen Fu , Kaixiang Hu
IPC: G01S3/80
CPC classification number: G01S3/80 , G01S3/8083 , G01S5/0284 , G01S5/22
Abstract: The relative positions of two or more electronic devices can be determined utilizing ultrasonic beacons. Each device can have a unique signature that can be included in the beacon broadcast by that device. A device having an array of ultrasonic detectors can receive a beacon and correlate the beacon received at each detector. The time of arrival then can be used to determine the relative position of the source of the beacon. The signature in that beacon can also be used to determine the identity of the device that broadcast the beacon, in order to determine the identity of the device, or a user of that device, at the determined relative position. The devices can be configured to transmit signals over the air or through a specific transmission medium, such as propagating surface. Further, a dedicated detector array can be used for determining multiple relative positions.
Abstract translation: 可以使用超声波信标来确定两个或更多个电子设备的相对位置。 每个设备可以具有可被该设备广播的信标中包含的唯一签名。 具有超声波检测器阵列的装置可以接收信标并使在每个检测器处接收到的信标相关联。 到达时间可以用来确定信标源的相对位置。 该信标中的签名还可以用于确定广播信标的设备的身份，以便在所确定的相对位置处确定设备或该设备的用户的身份。 这些装置可被配置成通过空气或通过特定的传输介质（例如传播表面）传送信号。 此外，专用检测器阵列可用于确定多个相对位置。
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Patent Agency Ranking
公开(公告)号：US09729865B1
公开(公告)日：2017-08-08
申请号：US14307492
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
CPC classification number: H04N13/366 , G06F1/1686 , G06F1/3206 , G06F1/3231 , G06K9/00201 , G06K9/00248 , G06K9/00268 , G06K9/00295 , G06K9/00771 , G06T2207/10021 , H04N5/76 , H04N13/204 , H04N13/239 , H04N13/271 , H04N2013/0081 , Y02D10/173
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
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公开(公告)号：US09298974B1
公开(公告)日：2016-03-29
申请号：US14307493
申请日：2014-06-18
Applicant: Amazon Technologies, Inc.
Inventor： Cheng-Hao Kuo , Jim Oommen Thomas , Tianyang Ma , Stephen Vincent Mangiat , Sisil Sanjeev Mehta , Ambrish Tyagi , Amit Kumar Agrawal , Kah Kuen Fu , Sharadh Ramaswamy
CPC classification number: H04N13/239 , G06K9/00261 , G06K9/00288 , G06K9/03 , H04N13/271 , H04N2013/0081 , H04N2013/0092
Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.
Abstract translation: 各种实施例使得能够使用立体声关联和多个跟踪算法来识别和跟踪主要用户。 例如，可以独立地通过各个相机拍摄的每个图像上运行面部检测算法。 可以执行立体声协会来匹配相机之间的面孔。 如果脸部匹配并且确定了主要用户，则创建面部对并将其用作用于初始化对象跟踪的存储器中的第一数据点。 此外，可以提取用户面部的特征，并且图像之间的这些特征的位置变化可以确定将为该特定帧使用什么跟踪方法。
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公开(公告)号：US20150189188A1
公开(公告)日：2015-07-02
申请号：US14587830
申请日：2014-12-31
Applicant: Amazon Technologies, Inc.
Inventor： Francislav Petrov Penov , Aaron Michael Donsbach , Geoffrey Scott Heller , Kenneth Mark Karakotsios , Daniel Bibireata , Kah Kuen Fu , Richard Howard Suplee, III , Timothy Youngjin Sohn
CPC classification number: H04N5/23293 , G06K9/00208 , G06K9/2081 , G06K9/32 , G06K9/3216 , G06K9/6202 , G06Q30/0643
Abstract: A user attempting to obtain information about an object can capture image information including a view of that object, and the image information can be used with a matching or identification process to provide information about that type of object to the user. In order to narrow the search space to a specific category, and thus improve the accuracy of the results and the speed at which results can be obtained, the user can be guided to capture image information with an appropriate orientation. An outline or other graphical guide can be displayed over image information captured by a computing device, in order to guide the user in capturing the object from an appropriate direction and with an appropriate scale for the type of matching and/or information used for the matching. Such an approach enables three-dimensional objects to be analyzed using conventional two-dimensional identification algorithms, among other such processes.
Abstract translation: 尝试获取关于对象的信息的用户可以捕获包括该对象的视图的图像信息，并且图像信息可以与匹配或识别过程一起使用以向用户提供关于该类型的对象的信息。 为了将搜索空间缩小到特定类别，从而提高结果的准确性和可以获得结果的速度，可以引导用户以适当的方向捕获图像信息。 可以在由计算设备捕获的图像信息上显示概要或其他图形指南，以便引导用户从适当的方向捕获对象，并且以适当的比例为匹配和/或用于匹配的信息的类型 。 这样的方法使得能够使用传统的二维识别算法来分析三维对象，以及其他这样的过程。
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公开(公告)号：US08897510B2
公开(公告)日：2014-11-25
申请号：US14151717
申请日：2014-01-09
Applicant: Amazon Technologies, Inc.
Inventor： Kenneth M. Karakotsios , Kah Kuen Fu , Volodymyr V. Ivanchenko , Mingjing Huang
IPC: G06K9/00
CPC classification number: G06K9/00255 , G06K9/00228 , G06K9/0061
Abstract: The computational resources needed to perform processes such as image recognition can be reduced by determining appropriate frames of image information to use for the processing. In some embodiments, infrared imaging can be used to determine when a person is looking substantially towards a device, such that an image frame captured at that time will likely be adequate for facial recognition. In other embodiments, sound triangulation or motion sensing can be used to assist in determining which captured image frames to discard and which to select for processing based on any of a number of factors indicative of a proper frame for processing.
Abstract translation: 可以通过确定用于处理的图像信息的适当帧来减少执行诸如图像识别的处理所需的计算资源。 在一些实施例中，可以使用红外成像来确定人物何时基本上朝向设备观看，使得当时捕获的图像帧将可能足以用于面部识别。 在其他实施例中，可以使用声音三角测量或运动感测来基于指示用于处理的适当帧的多个因素中的任何一个来确定要丢弃哪个捕获的图像帧以及哪个被选择用于处理。
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公开(公告)号：US20140211067A1
公开(公告)日：2014-07-31
申请号：US14231552
申请日：2014-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Francislav Petrov Penov , Aaron Michael Donsbach , Geoffrey Scott Heller , Kenneth Mark Karakotsios , Daniel Bibireata , Kah Kuen Fu , Richard Howard Suplee, III , Timothy Youngjin Sohn
CPC classification number: H04N5/23293 , G06K9/00208 , G06K9/2081 , G06K9/32 , G06K9/3216 , G06K9/6202 , G06Q30/0643
Abstract: A user attempting to obtain information about an object can capture image information including a view of that object, and the image information can be used with a matching or identification process to provide information about that type of object to the user. In order to narrow the search space to a specific category, and thus improve the accuracy of the results and the speed at which results can be obtained, the user can be guided to capture image information with an appropriate orientation. An outline or other graphical guide can be displayed over image information captured by a computing device, in order to guide the user in capturing the object from an appropriate direction and with an appropriate scale for the type of matching and/or information used for the matching. Such an approach enables three-dimensional objects to be analyzed using conventional two-dimensional identification algorithms, among other such processes.
Abstract translation: 尝试获取关于对象的信息的用户可以捕获包括该对象的视图的图像信息，并且图像信息可以与匹配或识别过程一起使用以向用户提供关于该类型的对象的信息。 为了将搜索空间缩小到特定类别，从而提高结果的准确性和可以获得结果的速度，可以引导用户以适当的方向捕获图像信息。 可以在由计算设备捕获的图像信息上显示概要或其他图形指南，以便引导用户从适当的方向捕获对象，并且以适当的比例为匹配和/或用于匹配的信息的类型 。 这样的方法使得能够使用传统的二维识别算法来分析三维对象，以及其他这样的过程。
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