公开(公告)号：US20240265675A1

公开(公告)日：2024-08-08

申请号：US18163324

申请日：2023-02-02

Applicant: Ford Global Technologies, LLC

Inventor： Vanessa Ferreira Dalborgo ,  João Gabriel Lima Moraes ,  Roberto Luiz Souza Monteiro ,  Vitor Magno de Oliveira Santos Bezerra

IPC: G06V10/774 ,  G06V10/772 ,  G06V20/58

CPC classification number: G06V10/774 ,  G06V10/772 ,  G06V20/582

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive a plurality of initial images including traffic signs, identify the traffic signs in the initial images, and generate new images by applying manipulations to the traffic signs in the initial images. The manipulations simulate physical changes to the traffic signs.

公开(公告)号：US12007783B2

公开(公告)日：2024-06-11

申请号：US17280529

申请日：2019-09-26

Applicant: EmergeX, LLC

Inventor： Roy Feinson ,  Ariel Katz

IPC: G06N3/08 ,  G05D1/00 ,  G06F18/214 ,  G06N3/02 ,  G06N3/04 ,  G06V10/26 ,  G06V10/44 ,  G06V10/62 ,  G06V10/772 ,  G06V10/82 ,  G06V20/40 ,  G06V20/58

CPC classification number: G05D1/0251 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0238 ,  G05D1/0246 ,  G06F18/214 ,  G06N3/02 ,  G06N3/04 ,  G06N3/08 ,  G06V10/26 ,  G06V10/454 ,  G06V10/62 ,  G06V10/772 ,  G06V10/82 ,  G06V20/46 ,  G06V20/58

Abstract: A system and method for forecasting perceived transitions to the four annual seasons in geographic areas is disclosed. The perceived transitions are identified by comparing forecasted daily temperatures in each geographic area to thresholds generated based on normal daily temperatures in those geographic areas. The forecasted daily temperatures may be calculated using both forecasted temperatures and forecasted perceived ambient temperatures (calculated using both temperature and humidity, cloud cover, sun intensity, and/or wind speed).

公开(公告)号：US20240156052A1

公开(公告)日：2024-05-16

申请号：US18237703

申请日：2023-08-24

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： You Jin Kim ,  Se Han KIM ,  Dae Heon Park

IPC: A01K5/02 ,  A01K29/00 ,  G06V10/60 ,  G06V10/772 ,  G06V20/52 ,  G06V40/10

CPC classification number: A01K5/0275 ,  A01K29/005 ,  G06V10/60 ,  G06V10/772 ,  G06V20/52 ,  G06V40/10

Abstract: Provided are an apparatus and method for controlling a feed supply amount based on feed intake intention of livestock. The apparatus for controlling a feed supply amount based on feed intake intention of livestock includes a feed intake intention quantification part which perceives feed intake intention of livestock by using image information obtained by photographing a certain region within a livestock farm and quantifies the feed intake intention of livestock as a feed intake intention value, and a feed intake intention-based feed supply amount control part generating a command for controlling a feed supply amount in consideration of the feed intake intention value.

公开(公告)号：US11978243B2

公开(公告)日：2024-05-07

申请号：US17527859

申请日：2021-11-16

Applicant: Xerox Corporation

Inventor： Matthew A. Shreve ,  Sricharan Kallur Palli Kumar ,  Jin Sun ,  Gaurang R. Gavai ,  Robert R. Price ,  Hoda M. A. Eldardiry

IPC: G06V10/772 ,  G06F18/21 ,  G06F18/214 ,  G06F18/28 ,  G06T7/55 ,  G06T19/00 ,  G06V10/94 ,  G06V20/64

CPC classification number: G06V10/772 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/28 ,  G06T7/55 ,  G06T19/006 ,  G06V10/94 ,  G06V20/64 ,  G06T2210/12 ,  G06T2219/004

Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.

公开(公告)号：US20240144656A1

公开(公告)日：2024-05-02

申请号：US18394249

申请日：2023-12-22

Applicant: Lemon Inc. ,  Beijing Youzhuju Network Technology Co., Ltd.

Inventor： Song Bai ,  Junhao Zhang ,  Heng Wang ,  Rui Yan ,  Chuhui Xue ,  Wenqing Zhang

IPC: G06V10/774 ,  G06V10/40 ,  G06V10/74 ,  G06V10/772 ,  G06V10/82

CPC classification number: G06V10/774 ,  G06V10/40 ,  G06V10/761 ,  G06V10/772 ,  G06V10/82

Abstract: A method, apparatus, device, and medium for image processing is provided. The method includes generating, using an image generation process, a first set of synthetic images based on a first set of codes associated with the first image class in a codebook and based on a first class feature associated with a first image class; generating, using a feature extraction process, a first set of reference features based on the first set of synthetic images and generating a first set of target features based on a plurality of sets of training images belonging to the first image class in a training image set; and updating the image generation process and the codebook according to at least a first training objective to reduce a difference between each reference feature in the first set of reference features and a corresponding target feature in the first set of target features.

公开(公告)号：US11941812B2

公开(公告)日：2024-03-26

申请号：US17953505

申请日：2022-09-27

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kota Aoyagi ,  Yasuko Fujisawa

IPC: G06T7/00 ,  G06F18/21 ,  G06T11/00 ,  G06V10/40 ,  G06V10/772

CPC classification number: G06T7/0014 ,  G06F18/217 ,  G06T11/003 ,  G06V10/40 ,  G06V10/772 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2210/41 ,  G06V2201/03

Abstract: In one embodiment, a diagnosis support apparatus includes: an input circuit configured to acquire a first medical image; and processing circuitry configured to generate a second medical image from the first medical image in such a manner that information included in the second medical image is reduced from information included in the first medical image, extract auxiliary information from the first medical image, and perform inference of a disease by using the second medical image and the auxiliary information.

公开(公告)号：US20240095325A1

公开(公告)日：2024-03-21

申请号：US18522121

申请日：2023-11-28

Applicant: Alclear, LLC

Inventor： Kevin Lupowitz

IPC: G06F21/32 ,  G06F18/211 ,  G06F18/28 ,  G06V10/772 ,  G06V10/94 ,  G06V40/12 ,  G06V40/16 ,  G06V40/50

CPC classification number: G06F21/32 ,  G06F18/211 ,  G06F18/28 ,  G06V10/772 ,  G06V10/94 ,  G06V40/1365 ,  G06V40/173 ,  G06V40/50

Abstract: A system provides intelligent gallery management for biometrics. A first gallery is obtained that includes biometric and/or other information on a population of people. An application is identified. A subset of the population of people is identified based on the application. A second gallery is derived from the first gallery by pulling the information for the subset of the population of people without pulling the information for the population of people not in the subset. Biometric identification (such as facial recognition) for the application may then be performed using the second gallery rather than the first gallery. In this way, the system is improved as less time is required for biometric identification, fewer device resources are used, and so on.

公开(公告)号：US11861889B2

公开(公告)日：2024-01-02

申请号：US18059846

申请日：2022-11-29

Applicant: The University of Tokyo ,  OSAKA UNIVERSITY

Inventor： Sadao Ota ,  Issei Sato ,  Katsuhito Fujiu ,  Satoko Yamaguchi ,  Kayo Waki ,  Yoko Itahashi ,  Ryoichi Horisaki

IPC: G01N21/01 ,  G06V10/82 ,  G01N15/14 ,  G01N21/27 ,  G01N21/64 ,  G06V20/69 ,  G06F18/28 ,  G06F18/21 ,  G06V10/772 ,  G06V10/778 ,  C12M1/34 ,  G01N21/65 ,  G01N15/10

CPC classification number: G06V10/82 ,  C12M1/34 ,  G01N15/14 ,  G01N15/1404 ,  G01N15/147 ,  G01N15/1429 ,  G01N15/1434 ,  G01N15/1459 ,  G01N21/01 ,  G01N21/27 ,  G01N21/64 ,  G01N21/65 ,  G06F18/2178 ,  G06F18/28 ,  G06V10/772 ,  G06V10/7784 ,  G06V20/698 ,  G01N2015/1006 ,  G01N2015/145 ,  G01N2015/1413 ,  G01N2015/1415 ,  G06F2218/12

Abstract: An analysis device includes an analysis unit configured to receive scattered light, transmitted light, fluorescence, or electromagnetic waves from an observed object located in a light irradiation region light-irradiated from a light source and analyze the observed object on the basis of a signal extracted on the basis of a time axis of an electrical signal output from a light-receiving unit configured to convert the received light or electromagnetic waves into the electrical signal.

公开(公告)号：US20230419498A1

公开(公告)日：2023-12-28

申请号：US18463277

申请日：2023-09-07

Applicant: The Jackson Laboratory

Inventor： Vivek Kumar ,  Brian Q. Geuther ,  Jim Peterson ,  Gary Churchill

IPC: G06T7/11 ,  A01K1/03 ,  A01K29/00 ,  G06V10/25 ,  G06V20/00 ,  G06F18/28 ,  G06V10/764 ,  G06V10/772 ,  G06V10/776 ,  G06V10/82 ,  G06V10/44 ,  G06V10/26

CPC classification number: G06T7/11 ,  A01K1/031 ,  A01K29/005 ,  G06V10/25 ,  G06V20/00 ,  G06F18/28 ,  G06V10/764 ,  G06V10/772 ,  G06V10/776 ,  G06V10/82 ,  G06V10/454 ,  G06V10/26

Abstract: Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. 3 different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data. This general purpose neural network tracker can be easily extended to other experimental paradigms and even to other animals through transfer learning, thus forming a robust, generalizable solution for bio-behavioral research.

公开(公告)号：US20230419188A1

公开(公告)日：2023-12-28

申请号：US18244016

申请日：2023-09-08

Applicant: Snap Inc.

Inventor： Xuehan Xiong ,  Zehao Xue

IPC: G06N20/10 ,  G06T17/20 ,  G06N20/00 ,  G06V20/80 ,  G06V10/772 ,  G06V20/10 ,  G06V40/10

CPC classification number: G06N20/10 ,  G06T17/20 ,  G06N20/00 ,  G06V20/80 ,  G06V10/772 ,  G06V20/10 ,  G06V40/103 ,  G06V40/107

Abstract: A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).