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公开(公告)号:US20240087282A1
公开(公告)日:2024-03-14
申请号:US17930983
申请日:2022-09-09
Applicant: MOTOROLA SOLUTIONS, INC.
Inventor: Luke Young , Juan Felipe Gonzalez-Gomez , Alexander Saputa
CPC classification number: G06V10/60 , G06T5/005 , G06T7/13 , G06T7/70 , G06V10/25 , G06V20/52 , G06V2201/07
Abstract: One aspect provides a video surveillance system including a video camera configured to capture a video and a video redactor in communication with the video camera and including an electronic processor. The electronic processor is configured to retrieve the video from the video camera, identify an object to be redacted from the video, and redact the object from the video. The electronic processor is further configured to identify a first reflective surface appearing in the video, redact the first reflective surface from the video, and output a modified video in which the object and the first reflective surface have been redacted.
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公开(公告)号:US20240087112A1
公开(公告)日:2024-03-14
申请号:US18263506
申请日:2021-02-05
Inventor: Laurin Herbstofer
CPC classification number: G06T7/0012 , G06T7/11 , G06V10/44 , G16H50/20 , G06T2207/10056 , G06T2207/30024 , G06V2201/07
Abstract: The present invention relates to a method for processing an image. Moreover, a grid data set, an output image, different uses of a grid data set and an output image, a device, a computer program, a computer-readable medium, a neural network, a method for diagnosing a disease, a method for prognosing the course of a disease, a method for determining whether a patient suffering from a disease will respond to a therapeutic treatment and a method for predicting relapse of a disease are specified.
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公开(公告)号:US11928836B2
公开(公告)日:2024-03-12
申请号:US18317595
申请日:2023-05-15
Applicant: DEEPX CO., LTD.
Inventor: Ha Joon Yu , You Jun Kim , Lok Won Kim
IPC: G06T7/70 , G06T3/40 , G06T7/11 , G06T7/20 , G06V10/764 , G06V10/771 , H04N23/61 , H04N23/67 , H04N23/69 , H04N23/695
CPC classification number: G06T7/70 , G06T3/40 , G06T7/11 , G06T7/20 , G06V10/764 , G06V10/771 , H04N23/61 , H04N23/67 , H04N23/69 , H04N23/695 , G06T2207/20084 , G06V2201/07
Abstract: An electronic device mounted on a fixed or a movable apparatus is provided. The electronic device may comprise a neural processing unit (NPU), including a plurality of processing elements (PEs), configured to process an operation of an artificial neural network model trained to detect or track at least one object and output an inference result based on at least one image acquired from at least one camera; and a signal generator generating a signal applicable to the at least one camera.
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公开(公告)号:US20240078784A1
公开(公告)日:2024-03-07
申请号:US18272858
申请日:2021-09-23
Applicant: SeeChange Technologies Limited
Inventor: David Packwood , Ariel Edgar Ruiz-Garcia
IPC: G06V10/426 , G06T3/40 , G06V10/44 , G06V10/82
CPC classification number: G06V10/426 , G06T3/40 , G06V10/44 , G06V10/82 , G06V2201/07
Abstract: A computer implemented method of processing image data by an image processing system comprising a directed acyclic graph of nodes for receiving and processing image data is disclosed. The method comprises: at a compute node in the graph: receiving image data; performing an image processing operation on the image data to produce a compute node output based on the data; and transmitting the compute node output to another node in the graph. The method also comprises, at a control node in the graph: receiving a control node input, wherein the control node input is the image data or is based on the image data; and, if the control node determines that a control condition is satisfied, transmitting the control node input to another node in the graph. A computer implemented image processing system is also disclosed.
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105.
公开(公告)号:US20240078699A1
公开(公告)日:2024-03-07
申请号:US18272522
申请日:2021-12-15
Applicant: NEC Corporation
Inventor: Toshihiko Fujii
CPC classification number: G06T7/73 , G06V10/25 , G06V10/44 , G06T2207/20044 , G06V2201/07
Abstract: An image processing apparatus (10) according to the present invention includes: a user area determination unit (11) that determines, from an image to be processed, a user area being an area where a user of an operation terminal is present; and a user switching detection unit (12) that detects, based on an image of the user area, that the user of the operation terminal is switched.
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106.
公开(公告)号:US20240071124A1
公开(公告)日:2024-02-29
申请号:US18456305
申请日:2023-08-25
Applicant: CANON KABUSHIKI KAISHA
Inventor: MASATO SANNO
IPC: G06V40/10 , G03B13/36 , G06F3/04842 , G06T7/20 , G06T7/62
CPC classification number: G06V40/103 , G03B13/36 , G06F3/04842 , G06T7/20 , G06T7/62 , G06V2201/07
Abstract: In a case where a user selects a plurality of types of detected objects while switching a main object using an operation member for indicating a direction, the user may select an object that the user is less likely to determine as a major object. An image processing apparatus determines whether to permit any of a plurality of objects to be reselected as a new main object according to whether a region of any of the plurality of objects overlaps a region of another object and a combination of a type of any of the plurality of objects and a type of the main object.
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公开(公告)号:US20240071029A1
公开(公告)日:2024-02-29
申请号:US18272290
申请日:2022-01-24
Applicant: CARNEGIE MELLON UNIVERSITY
Inventor: Chenchen ZHU , Marios Savvides , Zhiqiang Shen , Fangyi Chen
IPC: G06V10/25 , G06V10/44 , G06V10/74 , G06V10/764
CPC classification number: G06V10/25 , G06V10/44 , G06V10/761 , G06V10/764 , G06V2201/07
Abstract: Disclosed herein is a method of soft anchor-point detection (SAPD), which implements a concise, single-stage anchor-point detector with both faster speed and higher accuracy. Also disclosed is a novel training strategy with two softened optimization techniques: soft-weighted anchor points and soft-selected pyramid levels.
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108.
公开(公告)号:US20240071010A1
公开(公告)日:2024-02-29
申请号:US18240641
申请日:2023-08-31
Applicant: LabLightAR Inc.
Inventor: Roger BRENT , William PERIA , Gabriella E. LABAZZO , William LAI , Stacia R. ENGEL , Karrington OGANS
IPC: G06T19/00 , G06T3/40 , G06T5/00 , G06V10/774 , G06V20/70
CPC classification number: G06T19/006 , G06T3/40 , G06T5/002 , G06V10/774 , G06V20/70 , G06T2207/20084 , G06V2201/07
Abstract: Training sets of images used for training machine vision systems for object recognition may be augmented via various training set augmentation methods. The machine vision systems trained via the augmented training sets may be further used in an augmented reality procedural guidance system for guiding an operator to complete one or more steps with respect to one or more objects. The training set augmentations may include one or more of an object motion augmentation, a camera motion augmentation, an object herding or clumping augmentation, an object size reduction augmentation, a diversified background augmentation, and a diversified background augmentation with synthetic background images. In some instances, machine vision systems may also be alternatively or concurrently trained to use optically distinguishable markers to recognize objects.
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109.
公开(公告)号:US20240070897A1
公开(公告)日:2024-02-29
申请号:US18456926
申请日:2023-08-28
Applicant: Anno.ai, Inc.
Inventor: Matt Thomasson , Michael Ramsey , Wojciech Tomasz Klecha
CPC classification number: G06T7/70 , G06T7/20 , G06T7/60 , G06V10/761 , G06T2207/30241 , G06V2201/07
Abstract: A tracking system is used to determine geoposition of an object, such as a person, using images from a 2-D camera, in which pixels in the 2-D image have been assigned a 3-D position by pairing the camera image with a spatial model. A spatial model can be provided by a suitable 3-D imaging device, such as but not limited to a LiDAR system, though other types of spatial imagers are contemplated. The tracking system can use geoposition data to aid in reidentification of a person across multiple cameras, as well as determine behavior of people that are being tracked.
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公开(公告)号:US20240070876A1
公开(公告)日:2024-02-29
申请号:US18456812
申请日:2023-08-28
Applicant: CANON KABUSHIKI KAISHA
Inventor: YUJIRO IDAKA
CPC classification number: G06T7/20 , G06V10/25 , G06V2201/07
Abstract: A control apparatus includes an acceleration detection unit that detects an acceleration, and a processor and memory storing instructions that when executed by the processor, cause the control apparatus to determine a motion vector from video data within a vehicle obtained by an image capturing unit fixed in the vehicle, determine whether there is a correlation between an amount of change of a determined motion vector in a preset period and the detected acceleration in the preset period for each position in the video data, and determine, based on a result of the determination for each position, as an out-of-vehicle region, a region in which an object outside of the vehicle within the video data appears.
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