公开(公告)号：US12223765B2

公开(公告)日：2025-02-11

申请号：US17761305

申请日：2019-09-27

Applicant: NEC Corporation

Inventor： Yuzo Senda

IPC: G06V10/00 ,  G06T7/70 ,  G06V40/16 ,  G08B25/04

Abstract: An information processing apparatus includes: an acquisition unit that acquires height information relating to a height of a capturing position of an imaging device that captured an image in which a face of a user was detected; and a determination unit that determines, based on the height information, whether or not the user is a candidate for person requiring assistance, who may be a person requiring assistance.

公开(公告)号：US12223631B2

公开(公告)日：2025-02-11

申请号：US17700925

申请日：2022-03-22

Applicant: Lenovo (Singapore) Pte. Ltd.

Inventor： Robert J Kapinos ,  Scott Li ,  Robert James Norton, Jr. ,  Russell Speight VanBlon

IPC: G06V10/00 ,  G06T7/00

Abstract: One embodiment provides a method, the method including: receiving, at a shock analysis system, image data corresponding to at least one image capture device and associated with transportation of a package; determining, at the shock analysis system and by analyzing the image data, the package has undergone a shock of a magnitude exceeding a predetermined threshold; and performing, at the shock analysis system and responsive to determining the package has undergone the shock exceeding the predetermined threshold, at least one predetermined action, wherein the at least one predetermined action comprises notifying a user of the shock.

公开(公告)号：US12198398B2

公开(公告)日：2025-01-14

申请号：US17645366

申请日：2021-12-21

Applicant: Snap Inc.

Inventor： Avihay Assouline ,  Itamar Berger ,  Nir Malbin ,  Gal Sasson

IPC: G06V10/00 ,  G06T7/10 ,  G06T7/246 ,  G06T7/73 ,  G06T11/00 ,  G06V10/40

Abstract: Methods and systems are disclosed for performing operations for transferring motion from one real-world object to another in real-time. The operations comprise receiving a first video that includes a depiction of a first real-world object and extracting an appearance of the first real-world object from the video. The operations comprise obtaining a second video that includes a depiction of a second real-world object and extracting motion of the second real-world object from the second video. The operations comprise applying the motion of the second real-world object extracted from the second video to the appearance of the first real-world object extracted from the first video. The operations comprise generating a third video that includes a depiction of the first real-world object having the appearance of the first real-world object and the motion of the second real-world object.

公开(公告)号：US12198049B2

公开(公告)日：2025-01-14

申请号：US17211930

申请日：2021-03-25

Applicant: Intel Corporation

Inventor： Ralf Graefe ,  Neslihan Kose Cihangir

IPC: G06V10/00 ,  G06F18/24 ,  G06N3/08 ,  G06V10/25 ,  G06V20/20 ,  G06V20/58 ,  G06V20/59 ,  G06V20/70 ,  G10L15/08

Abstract: A vehicle data relation device includes an internal audio/image data analyzer, configured to receive first data representing at least one of audio from within the vehicle or an image from within the vehicle; identify within the first data second data representing an audio indicator or an image indicator, wherein the audio indicator is human speech associated with a significance of an object external to the vehicle, and wherein the image indicator is an action of a human within the vehicle associated with a significance of an object external to the vehicle; an external image analyzer, configured to receive third data representing an image of a vicinity external to the vehicle; identify within the third data an object corresponding to at least one of the audio indicator or the video indicator; and an object data generator, configured to generate data corresponding to the object.

公开(公告)号：US12190570B2

公开(公告)日：2025-01-07

申请号：US17624913

申请日：2019-07-11

Applicant: NEC Corporation

Inventor： Katsuhiko Takahashi ,  Yuichi Nakatani ,  Asuka Ishii ,  Tetsuo Inoshita ,  Gaku Nakano

IPC: G06V10/00 ,  G06V10/22 ,  G06V10/774 ,  G06V10/776

Abstract: In an object detection device, a plurality of object detection units output a score indicating probability that a predetermined object exists, for each partial region set to image data inputted. The weight computation unit computes weights for merging the scores outputted by the plurality of object detection units, using weight calculation parameters, based on the image data. The merging unit merges the scores outputted by the plurality of object detection units, for each partial region, with the weights computed by the weight computation unit. The target model object detection unit configured to output a score indicating probability that the predetermined object exists, for each partial region set to the image data. The first loss computation unit computes a first loss indicating a difference of the score of the target model object detection unit from a ground truth label of the image data and the score merged by the merging unit. The first parameter correction unit corrects parameters of the target model object detection unit to reduce the first loss.

公开(公告)号：US12175723B2

公开(公告)日：2024-12-24

申请号：US17608620

申请日：2020-05-05

Applicant: DeepMind Technologies Limited

Inventor： Ankush Gupta ,  Tejas Dattatraya Kulkarni

IPC: G06V10/00 ,  G06T7/73 ,  G06V10/46 ,  G06V10/82

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unsupervised learning of object keypoint locations in images. In particular, a keypoint extraction machine learning model having a plurality of keypoint model parameters is trained to receive an input image and to process the input image in accordance with the keypoint model parameters to generate a plurality of keypoint locations in the input image. The machine learning model is trained using either temporal transport or spatio-temporal transport.

公开(公告)号：US12171597B2

公开(公告)日：2024-12-24

申请号：US17768005

申请日：2020-10-22

Applicant: PHYSIBOTICS, LDA

Inventor： Paulo Jorge Magalhães Martins

IPC: G06V10/00 ,  A61B6/00 ,  A61B6/03

Abstract: The present invention relates to a method and a device for monitoring body parts of a patient simultaneously by means of high-resolution and high-sensitivity detection techniques which detect radiation emitted by a tracer. It is an object of the present invention a device for the enhanced determination of a fine location of at least one tracer within a body part of a patient which comprises a first pair of high-resolution detectors opposing detectors, and a second pair of high-sensitivity detectors and movable opposing detectors, and the device being configured to determine based on signals from the first pair of opposing detectors, position the second pair of opposing detectors based on the coarse location, and determining a fine location of the tracer based on signals from the second pair of opposing detectors, allowing to determine the location of a tracer with high spatial resolution and high sensitivity.

公开(公告)号：US12165398B2

公开(公告)日：2024-12-10

申请号：US17543574

申请日：2021-12-06

Applicant: CANON KABUSHIKI KAISHA

Inventor： Dongyue Zhao ,  Dongchao Wen ,  Xian Li ,  Weihong Deng ,  Jiani Hu

IPC: G06V10/00 ,  G06V10/74 ,  G06V10/774 ,  G06V10/82

Abstract: The present disclosure relates to training method and apparatus for an object recognition model. There provides a training sample optimization apparatus for a neural network model for object recognition, comprising: for each training sample in a training sample database, a fluctuation determination unit configured to determine a fluctuation of model prediction of the training sample relative to a corresponding labeled identity of the training sample in a case of training the neural network model; and an optimization unit configured to determine whether the training sample can be used for training of the neural network model in the next training epoch, based on the fluctuation of the training sample.

公开(公告)号：US12159381B2

公开(公告)日：2024-12-03

申请号：US17633755

申请日：2020-07-31

Applicant: Bayerische Motoren Werke Aktiengesellschaft

Inventor： Erwin Bay ,  Jonas Legl

IPC: G06V10/00 ,  B60R1/12 ,  B60W60/00 ,  G01B21/22 ,  G06T5/80

Abstract: A method for the reliable and error-robust analysis of visually captured vehicle surroundings is provided. A deviation of a camera orientation caused by a force impacting an exterior mirror carrying the camera can be compensated fully automatically. As a result, the method can be used during active travels in the field and creates more safety, in particular for autonomous driving.

公开(公告)号：US12158910B2

公开(公告)日：2024-12-03

申请号：US17554777

申请日：2021-12-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Maurice Diesendruck ,  Robin Abraham

IPC: G06V10/00 ,  G06F16/51 ,  G06F16/532 ,  G06F16/583 ,  G06F16/71

Abstract: A system for implementing object state distributions obtains a first object state distribution associated with a first image set. The first object state distribution includes a first plurality of object state vectors generated based upon (i) a first set of object type classifications associated with the first image set and (ii) a first set of image information based on the first image set. The system obtains a second object state distribution associated with a second image set. The second object state distribution comprises a second plurality of object state vectors generated based upon (i) a second set of object type classifications associated with the second image set and (ii) a second set of image information based on the second image set. The system determines a distance measure between the first object state distribution and the second object state distribution and assigns a label based upon the distance measure.