公开(公告)号：US11704933B2

公开(公告)日：2023-07-18

申请号：US17670643

申请日：2022-02-14

Applicant: NEC Corporation

Inventor： Nobuaki Kawase

IPC: G06V40/10 ,  G06V40/16 ,  G06V10/98 ,  G06V20/52 ,  G06V40/70

CPC classification number: G06V40/172 ,  G06V10/98 ,  G06V20/52 ,  G06V40/103 ,  G06V40/161 ,  G06V40/168 ,  G06V40/70 ,  G06V10/993

Abstract: An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

公开(公告)号：US20230222887A1

公开(公告)日：2023-07-13

申请号：US18153108

申请日：2023-01-11

Applicant: Masimo Corporation

Inventor： Bilal Muhsin ,  Richard Priddell ,  Valery G. Telfort ,  Naoki Kokawa ,  Ammar Al-Ali ,  Mohammad Usman

IPC: G08B21/04 ,  G06V40/16 ,  G06V10/764 ,  G06V20/52 ,  G10L25/51 ,  G06V10/774

CPC classification number: G08B21/043 ,  G06V40/168 ,  G06V10/764 ,  G06V20/52 ,  G10L25/51 ,  G06V40/172 ,  G06V10/774 ,  G08B21/0492

Abstract: Systems and methods are provided for machine learning based monitoring. Image data from a camera is received. On the hardware accelerator, a person detection model based on the image data is invoked. The person detection model outputs first classification result. Based on the first classification result, a person is detected. Second image data is received from the camera. In response to detecting the person, a fall detection model is invoked on the hardware accelerator based on the second image data. The fall detection model outputs a second classification result. A potential fall based on the second classification result is detected. An alert is provided in response to detecting the potential fall.

公开(公告)号：US11694475B2

公开(公告)日：2023-07-04

申请号：US17515623

申请日：2021-11-01

Applicant: NEC Corporation

Inventor： Akinori Ebihara

IPC: G06V40/16 ,  G06V40/40 ,  G06V10/141 ,  G06V40/70 ,  G06V40/18 ,  G06V10/80 ,  G06V10/50

CPC classification number: G06V40/161 ,  G06V10/141 ,  G06V10/50 ,  G06V10/806 ,  G06V40/168 ,  G06V40/193 ,  G06V40/40 ,  G06V40/70

Abstract: A spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

公开(公告)号：US20230206699A1

公开(公告)日：2023-06-29

申请号：US17695196

申请日：2022-03-15

Applicant: Realtek Singapore Private Limited

Inventor： Tien-Ping Chua ,  Chen-Feng Kuo ,  Ruchi Mangesh Dhamnaskar

IPC: G06V40/40 ,  G06V40/16 ,  G06T7/246 ,  G06T3/60

CPC classification number: G06V40/40 ,  G06V40/168 ,  G06T7/248 ,  G06T3/608 ,  G06T2207/30201

Abstract: A liveness detection method includes: obtaining multiple first feature points and multiple second feature points according to a first image, a second image, and a feature point process, wherein the first feature points include two first fixed feature points and at least one first variable feature point, and the second feature points include two second fixed feature points and at least one second variable point; obtaining a first transform function according to the first fixed feature points and the second fixed feature points; obtaining at least one check feature point according to the first transform function and the first variable feature point(s); and determining whether the second image is a spoofing image according to the check feature point(s) and the second variable point(s).

公开(公告)号：US20230201517A1

公开(公告)日：2023-06-29

申请号：US18008400

申请日：2021-06-03

Applicant: RIZKALLA, Michael, Adel

Inventor： Michael Adel Rizkalla

IPC: A61M21/00 ,  H04R1/08 ,  H04R1/34 ,  H04R1/02 ,  G06F3/01 ,  G10L15/18 ,  G10L15/22 ,  G10L25/63 ,  G06F3/16 ,  A63H3/00 ,  A63H3/28 ,  G06K7/14

CPC classification number: A61M21/00 ,  H04R1/08 ,  H04R1/342 ,  H04R1/028 ,  G06F3/016 ,  G10L15/18 ,  G10L15/22 ,  G10L25/63 ,  G06F3/165 ,  A63H3/003 ,  A63H3/28 ,  G06K7/1417 ,  G06K7/1413 ,  G06V40/168

Abstract: Implementations of a programmable interactive system to interact with a user to alter a user's behavioral patterns are provided. Such systems can include one or more of a processor, at least one input sensor operably coupled to the processor to sense at least one sensor input, at least one output device to output at least one stimulus to be observed by the user, a core unit to interact with the user, the core unit being operably coupled to the processor, and a non-transitory machine-readable medium embodying a set of machine readable instructions that, when executed by the processor, cause the system to detect one or more sensor inputs by way of the at least one sensor, analyze said at least one or more sensor inputs to identify a parameter describing the status of the user, and responsive to determining the parameter describing the status of the user, causing the at least one output device to change output of at least one stimulus that is observable by the user.

公开(公告)号：US11689869B2

公开(公告)日：2023-06-27

申请号：US17379571

申请日：2021-07-19

Applicant: Oticon A/S

Inventor： Jesper Bruun Jensen ,  Sigurdur Sigurdsson

IPC: H04R25/00 ,  G10L25/78 ,  G06V40/16 ,  H04N23/54

CPC classification number: H04R25/505 ,  G06V40/168 ,  G10L25/78 ,  H04N23/54 ,  H04R25/558 ,  H04R25/604 ,  H04R2225/55

Abstract: A hearing device, e.g. a hearing aid, is configured to be worn by a user, e.g. fully or partially on the head of the user, comprises a) an input transducer for converting a sound comprising a target sound from a target talker and possible additional sound in an environment of the user, when the user wears the hearing device, to an electric sound signal representative of said sound, b) an auxiliary input unit configured to provide an auxiliary electric signal representative of said target signal or properties thereof, c) a processor connected to said input transducer and to said auxiliary input unit, and wherein said processor is configured to apply a processing algorithm to said electric sound signal, or a signal derived therefrom, to provide an enhanced signal by attenuating components of said additional sound relative to components of said target sound in said electric sound signal, or said signal derived therefrom. The auxiliary electric signal is derived from visual information, e.g. from a camera, containing information of current vibrations of a facial or throat region of said target talker, and the processing algorithm is configured to use the auxiliary electric signal or the signal derived therefrom to provide the enhanced signal.

公开(公告)号：US20230199111A1

公开(公告)日：2023-06-22

申请号：US18110515

申请日：2023-02-16

Applicant: Verint Americas Inc.

Inventor： Jamie Richard Williams ,  Marc Calahan ,  Robert John Barnes ,  Murali Mohan Reddy Nareddy

IPC: H04M3/42 ,  H04L67/568 ,  H04M3/51 ,  G06F21/32 ,  G06F16/41 ,  H04M7/00 ,  G06F16/61 ,  G06V40/16 ,  G06F16/71 ,  H04L67/1036 ,  H04L65/1104 ,  H04M3/50 ,  H04L65/1066

CPC classification number: H04M3/42221 ,  H04L67/568 ,  H04M3/5191 ,  H04M3/5175 ,  G06F21/32 ,  G06F16/41 ,  H04M7/0051 ,  G06F16/61 ,  H04M3/5183 ,  G06V40/168 ,  H04M3/42314 ,  G06V40/172 ,  H04M3/51 ,  G06F16/71 ,  H04L67/1036 ,  H04L65/1104 ,  H04M3/50 ,  H04L65/1066 ,  H04M2203/558

Abstract: A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

公开(公告)号：US20230169349A1

公开(公告)日：2023-06-01

申请号：US18102161

申请日：2023-01-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Victor Sergeevich LEMPITSKY ,  Aliaksandra Petrovna SHYSHEYA ,  Egor Olegovich ZAKHAROV ,  Egor Andreevich BURKOV

IPC: G06N3/088 ,  G06N3/08 ,  G06V20/40 ,  G06V40/16 ,  G06F16/70 ,  G06V40/00 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V40/20

CPC classification number: G06N3/088 ,  G06N3/08 ,  G06V20/46 ,  G06V20/41 ,  G06V40/172 ,  G06F16/70 ,  G06V40/00 ,  G06V40/168 ,  G06V40/169 ,  G06V40/179 ,  G06V10/764 ,  G06V10/7753 ,  G06V10/82 ,  G06V40/20 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: An electronic device and a controlling method thereof are provided. A controlling method of an electronic device according to the disclosure includes: performing first learning for a neural network model for acquiring a video sequence including a talking head of a random user based on a plurality of learning video sequences including talking heads of a plurality of users, performing second learning for fine-tuning the neural network model based on at least one image including a talking head of a first user different from the plurality of users and first landmark information included in the at least one image, and acquiring a first video sequence including the talking head of the first user based on the at least one image and pre-stored second landmark information using the neural network model for which the first learning and the second learning were performed.

公开(公告)号：US20230154156A1

公开(公告)日：2023-05-18

申请号：US17798080

申请日：2021-08-20

Applicant: BOE Technology Group Co., Ltd.

Inventor： Zilu WANG

IPC: G06V10/77 ,  G06V10/82 ,  G06V40/16

CPC classification number: G06V10/7715 ,  G06V10/82 ,  G06V40/168

Abstract: A target detection method and apparatus, a computer-readable storage medium, and an electronic device. The method comprises: acquiring an input image, and performing feature extraction on the input image by means of a first convolutional layer and a second convolutional layer to obtain a reference feature image (S110); performing feature extraction on the reference feature image by means of a third convolutional layer to obtain a first target feature image, and performing feature extraction on the first target feature image by means of a fourth convolutional layer to obtain a second target feature image (S120); acquiring a reference pre-selected image of each point on the first target feature image and the second target feature image (S130); and determining a target pre-selected image from among a plurality of reference pre-selected images, and completing target detection by means of a target detection algorithm (S140).

公开(公告)号：US20230141862A1

公开(公告)日：2023-05-11

申请号：US17978527

申请日：2022-11-01

Applicant: AvaSure, LLC

Inventor： Walter Eadelman ,  Adam Jamison Whitmore ,  James Zampa ,  Daniel William Michaels ,  Scott Priolo

IPC: G06V20/52 ,  H04N7/18 ,  G06V40/16 ,  G06V20/40

CPC classification number: G06V20/52 ,  H04N7/183 ,  G06V40/168 ,  G06V40/172 ,  G06V20/44 ,  H04N5/23299

Abstract: A patient monitoring system includes a camera that selectively delivers a video feed to a monitoring station. A processor evaluates the video feed, and converts the video feed into a plurality of data points for an elopement detection system. The plurality of data points correspond at least to a combination of facial features and components of clothing for each person within the video feed. The processor is further configured to associate the combination of facial features and the components of clothing for each person to define a confirmed association, to identify whether the person is a patient or a non-patient, to verify the confirmed association of the patient by comparing updated data points from the video feed with the confirmed association, and to activate an alert when the confirmed association of the patient is unverified based upon a comparison with the updated data points.