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公开(公告)号：US11132573B2
公开(公告)日：2021-09-28
申请号：US16005955
申请日：2018-06-12
Applicant: Google LLC
Inventor： Andrew Gallagher , Shuchang Zhou , Zhiheng Wang
Abstract: The orientation of imagery relative to a compass bearing may be determined based on the position of the sun or other information relating to celestial bodies captured in the image.
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12.发明申请公开(公告)号：US20200380974A1
公开(公告)日：2020-12-03
申请号：US16613686
申请日：2019-05-31
Applicant: Google LLC
Inventor： Andrew Gallagher , Caroline Pantofaru , Vinay Bettadapura , Utsav Prabhu
Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.
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公开(公告)号：US10679039B2
公开(公告)日：2020-06-09
申请号：US15943961
申请日：2018-04-03
Applicant: Google LLC
Inventor： Andrew Gallagher , Praveen Bommannavar , Teresa Ko
Abstract: A method to determine whether to perform recognition on an image or a video. The method includes detecting a person in an image or a video by determining a person image region that corresponds to boundaries of the person or a face image region that corresponds to a position of a face of the person. The method further includes analyzing pixel values that correspond to the boundaries of the person or the position of the face of the person to generate a recognition avoidance signal. The method further includes determining whether the recognition avoidance signal indicates that an action was taken to discourage recognition of the person. The method further includes responsive to the recognition avoidance signal indicating that the action was taken to discourage recognition of the person, declining to perform recognition of the person.
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公开(公告)号：US20240321002A1
公开(公告)日：2024-09-26
申请号：US18734914
申请日：2024-06-05
Applicant: Google LLC
Inventor： Robert McDonald , Shrenik Lad , Andrew Gallagher
IPC: G06V40/16 , G06N20/00 , G06T7/246 , G06T7/73 , G06V10/44 , G06V10/764 , G06V10/80 , G06V10/82 , G06V10/98 , G06V40/10
CPC classification number: G06V40/165 , G06T7/246 , G06T7/74 , G06V10/454 , G06V10/764 , G06V10/806 , G06V10/809 , G06V10/82 , G06V10/98 , G06V40/103 , G06V40/161 , G06N20/00 , G06T2207/20081 , G06T2207/30201 , G06V40/172
Abstract: Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the present disclosure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an “appearance.”
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公开(公告)号：US11948575B2
公开(公告)日：2024-04-02
申请号：US18096446
申请日：2023-01-12
Applicant: GOOGLE LLC
Inventor： Andrew Gallagher , Caroline Pantofaru , Vinay Bettadapura , Utsav Prabhu
CPC classification number: G10L15/22 , G10L15/24 , H04R1/406 , H04R3/005 , G10L2015/223 , G10L2015/228
Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.
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Patent Agency Ranking
16.发明公开公开(公告)号：US20230396841A1
公开(公告)日：2023-12-07
申请号：US18234771
申请日：2023-08-16
Applicant: GOOGLE LLC
Inventor： Jaclyn Konzelmann , Tuan Nguyen , Vinay Bettadapura , Andrew Gallagher , Utsav Prabhu , Caroline Pantofaru
IPC: H04N21/442 , G06T7/70 , H04N21/258 , H04N21/41 , H04W12/64
CPC classification number: H04N21/44218 , G06T7/70 , H04N21/25875 , H04N21/25891 , H04N21/4126 , H04W12/64 , G06T2207/30196
Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.
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公开(公告)号：US11557295B2
公开(公告)日：2023-01-17
申请号：US17548972
申请日：2021-12-13
Applicant: GOOGLE LLC
Inventor： Andrew Gallagher , Caroline Pantofaru , Vinay Bettadapura , Utsav Prabhu
Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.
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公开(公告)号：US20220159340A1
公开(公告)日：2022-05-19
申请号：US17588467
申请日：2022-01-31
Applicant: GOOGLE LLC
Inventor： Jaclyn Konzelmann , Tuan Nguyen , Vinay Bettadapura , Andrew Gallagher , Utsav Prabhu , Caroline Pantofaru
IPC: H04N21/442 , G06T7/70 , H04N21/258 , H04N21/41
Abstract: Implementations relate to an automated assistant that provides and manages output from one or more elements of output hardware of a computing device. The automated assistant manages dynamic adjustment of access permissions to the computing device according to, for example, a detected presence of one or more users. An active-user queue can be established each time a unique user enters a viewing window of a camera of the computing device when, up to that point, no user was considered active. Multiple image frames can be captured via the camera and processed to determine whether an initial user remains in the viewing window and/or whether another user has entered the viewing window. The initial user can be considered active as long as they are exclusively detected in the viewing window. Restricted content associated with the user may be rendered by the computing device whilst the user is active.
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公开(公告)号：US20220101854A1
公开(公告)日：2022-03-31
申请号：US17548972
申请日：2021-12-13
Applicant: GOOGLE LLC
Inventor： Andrew Gallagher , Caroline Pantofaru , Vinay Bettadapura , Utsav Prabhu
Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.
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公开(公告)号：US20220101646A1
公开(公告)日：2022-03-31
申请号：US17425435
申请日：2019-01-25
Applicant: Robert MCDONALD , Shrenik LAD , Andrew GALLAGHER , Google LLC
Inventor： Robert McDonald , Shrenik Lad , Andrew Gallagher
Abstract: Example aspects of the present disclosure are directed to computing systems and methods that perform whole person association with face screening and/or face hallucination. In particular, one aspect of the closure is directed to a multi-headed person and face detection model that performs both face and person detection in one model. Each of the face and person detection can find landmarks or other pose information and also a confidence score. The pose information for the face and person detections can be used to select certain face and person detections to associate together as a whole person detection, which can be referred to as an “appearance.”
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