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公开(公告)号：US09838677B1
公开(公告)日：2017-12-05
申请号：US13929622
申请日：2013-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
IPC: H04N17/00
CPC classification number: H04N13/00 , H04N5/2258 , H04N5/247 , H04N17/002
Abstract: Embodiments enable detecting an occurrence such as an impact event, which can occur when an electronic device impacts a surface or object (e.g., from a fall), which may have occurred while the device was powered off, in a low power mode, or other state where the device cannot detect such an impact using an accelerometer or other such sensor. Various calibration processes can be used to determine an amount of misalignment between two or more cameras of the device, where an amount of misalignment more than an allowable threshold can be indicative of the impact event, at which point one or more system checks can be performed to determine whether the device components (e.g., memory, hard-disk, drives, antennas, etc.) or certain portions or components of the device are operating properly.
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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：US09503677B1
公开(公告)日：2016-11-22
申请号：US13689126
申请日：2012-11-29
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , Volodymyr V. Ivanchenko
CPC classification number: H04N7/00 , H04N13/239 , H04N13/246
Abstract: The quality of stereoscopic imaging using cameras with wide angle lenses can be improved using various calibration approaches to determine distortions or misalignments between the cameras. A calibration object such as a checkered grid with a determined inclination between portions can be used to provide lateral calibration as well as depth information. Intersections of the checkered regions can be used to determine intersection points for the calibration object in the image. Regions about at least a portion of these points can be analyzed, where the regions are sized such that features of the calibration object are substantially linear. Nearest neighbor points can be identified, and a local orientation determined in order to determine a relationship of each of the nearest points. Once identified, the points in each image can be correlated to corresponding points of the calibration object.
Abstract translation: 使用各种校准方法可以改善使用具有广角镜头的相机的立体成像的质量，以确定相机之间的失真或不对准。 可以使用诸如在部分之间具有确定的倾斜度的方格网格的校准对象来提供横向校准以及深度信息。 方格区域的交点可用于确定图像中校准对象的交点。 可以分析关于这些点的至少一部分的区域，其中区域的大小使得校准对象的特征基本上是线性的。 可以识别最近邻点，并确定局部方向以确定每个最近点的关系。 一旦识别，每个图像中的点可以与校准对象的对应点相关联。
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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：US09113304B1
公开(公告)日：2015-08-18
申请号：US13710074
申请日：2012-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , K R Suveetha Kamatchi
Abstract: A method for assisting in the recovery of a lost electronic device is described. When an electronic device determines that it is at rest, it automatically captures an image using a built-in camera and transmits the image to a server. A user, having lost the electronic device, may access the image via a web interface to determine the location of the electronic device.
Abstract translation: 描述了一种用于辅助丢失的电子设备的恢复的方法。 当电子设备确定它处于静止状态时，它会使用内置摄像头自动捕获图像并将图像发送到服务器。 已经丢失电子设备的用户可以经由web界面访问图像以确定电子设备的位置。
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Patent Agency Ranking
公开(公告)号：US09047504B1
公开(公告)日：2015-06-02
申请号：US13970502
申请日：2013-08-19
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , David Wayne Stafford , Ilya Brailovskiy
IPC: G06K9/00
CPC classification number: G06K9/6206 , G06K9/00228
Abstract: Approaches to enable a computing device, such as a phone or tablet computer, to utilize a number of cues to detect the presence of a face (or head) in an image captured by a camera of the computing device. The cues may include the elliptical shape of the face, the stereo disparity signature of the face, color or image brightness, among others. The facial detection may be performed by using a boosted classifier ensemble that has been trained using a plurality of images that are known (i.e., have been previously identified) to contain faces. The classifier ensemble can combine a number of different cues, such as the elliptical shape and/or stereo disparity signature, to be used for detecting faces within an image.
Abstract translation: 使计算设备（例如电话或平板计算机）能够使用多个提示来检测由计算设备的相机捕获的图像中的面部（或头部）的存在的方法。 线索可以包括脸部的椭圆形状，面部的立体视差特征，颜色或图像亮度等。 面部检测可以通过使用已经使用已知（即先前已被识别）的多个图像来训练以包含面部的升高分类器集合来执行。 分类器集合可以组合许多不同的线索，例如椭圆形状和/或立体视差特征，用于检测图像内的面部。
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公开(公告)号：US09975483B1
公开(公告)日：2018-05-22
申请号：US13763330
申请日：2013-02-08
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
Abstract: Approaches are described for utilizing a combination of location determining and tracking techniques to attempt to provide driver assistance under a variety of different circumstances, such as location assistance to locate or get back to a particular object or location, and visual and/or audible assistance to alert a driver of potential danger. For example, a driver assistance system can be provided that can monitor traffic conditions as well as attentiveness of a driver using a portable computing device (such as a mobile phone) to provide visual and/or audible notifications to alert the driver to potential dangers and/or take defensive action. The driver assistance system can further be used to automatically determine the location of a user's parked automobile and provide assistance, such as directions, to get back to the location where the user parked his or her automobile.
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公开(公告)号：US09860517B1
公开(公告)日：2018-01-02
申请号：US14035880
申请日：2013-09-24
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy , David Wayne Stafford
CPC classification number: H04N13/243 , H04N5/23241
Abstract: Various embodiments provide a method for determining conditions associated with the presence of a user in order to perform object detection. For example, various heuristic tests can be used to identify movement within a sequence of images or to identify user engagement therewith and, if movement or user engagement is identified, stereo disparity can be computed in an attempt to detect an object within a predetermined distance of the computing device. Accordingly, if the distance of the object is within the predetermined distance, object detection is performed. If the object is beyond the threshold distance, however, object detection is not performed in order to conserve battery life of the computing device.
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公开(公告)号：US09792491B1
公开(公告)日：2017-10-17
申请号：US14220048
申请日：2014-03-19
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06K9/00362 , G06T7/20 , G06T7/246 , G06T2207/10016 , G06T2207/30201
Abstract: The location of a user's head, for purposes such as head tracking or motion input, can be determined using a two-step process. In a first step, at least one image is captured including a representation of at least a portion of the person, such as a head portion of the person. In a second step, a contour of the head portion can be determined, and a two-dimensional model, for example, an ellipse or other similar shape can be used to approximate the head portion of the person represented in the image. The ellipse, for example, can be modeled using a number of shapes, such as rectangles, and the portion of the person can be tracked by locating an ellipse that bounds a maximum intensity gradient of pixel values in each one of a series of images.
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公开(公告)号：US09672627B1
公开(公告)日：2017-06-06
申请号：US13891036
申请日：2013-05-09
Applicant: Amazon Technologies, Inc.
Inventor： Sharadh Ramaswamy
CPC classification number: G06T7/004 , G06T7/246 , G06T7/292 , G06T2207/30196
Abstract: A computing device with multiple image capture elements can selectively activate those elements in order to keep an object of interest within the field of view of at least one of those elements, while conserving resources by not keeping all the image capture elements active. The object can be located using an appropriate object recognition process. The location, and thus the motion, of the object then can be tracked over time using one or the image capture elements. The motion can be monitored to determine when the object is likely to pass into the field of view of another image capture element. The determination can be made based upon factors such as location, direction, speed, acceleration, and predicted time within the current field of view. Such an approach allows an identified object to be tracked and kept in a field of view while conserving resources on the device.
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