公开(公告)号：US11756287B2

公开(公告)日：2023-09-12

申请号：US17572485

申请日：2022-01-10

Applicant: Raytheon Company

Inventor： Christopher M. Pilcher ,  Christopher Harris ,  John R. Goulding ,  William D. Weaver

IPC: G06V10/40 ,  G06F18/241

CPC classification number: G06F18/241 ,  G06V10/40 ,  G06V2201/07

Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

公开(公告)号：US11756276B2

公开(公告)日：2023-09-12

申请号：US18053476

申请日：2022-11-08

Applicant: BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD. ,  BYTEDANCE INC.

Inventor： Yunzhu Li ,  Jingcong Zhang ,  Xuchen Song ,  Jianchao Yang ,  Guohui Wang ,  Zhili Chen ,  Linjie Luo ,  Xiao Yang ,  Haoze Li ,  Jing Liu

IPC: G06T19/00 ,  G06V40/16 ,  G06V40/20 ,  G06T19/20 ,  G10L15/02 ,  G10L25/63

CPC classification number: G06T19/006 ,  G06T19/20 ,  G06V40/174 ,  G06V40/20 ,  G10L15/02 ,  G10L25/63 ,  G06T2219/2012 ,  G06T2219/2021 ,  G06V2201/07

Abstract: An image processing method and apparatus for augmented reality, an electronic device and a storage medium, including: acquiring a target image in response to an image acquiring instruction triggered by a user, where the target image includes a target object; acquiring an augmented reality model of the target object, and outputting the augmented reality model in combination with the target object; acquiring target audio data selected by the user, and determining an audio feature with temporal regularity according to the target audio data; and driving the augmented reality model according to the audio feature and a playing progress of the target audio data when outputting the target audio data.

公开(公告)号：US20230274523A1

公开(公告)日：2023-08-31

申请号：US18113283

申请日：2023-02-23

Applicant: Summer Robotics, Inc.

Inventor： Brian Alexander Paden

IPC: G06V10/42 ,  G06T7/73

CPC classification number: G06V10/421 ,  G06T7/73 ,  G06V2201/07

Abstract: Embodiments are directed to the association of concurrent tracks using graph crossings. Signal beams may be employed to scan paths across an object such that sensors separately detect signals from the signal beams reflected by the object. Crossing points may be determined based on a plurality of trajectories that intersect each other during the scan of the object. Graphs may be generated based on the portion of trajectories and the crossing points such that each edge in the graphs corresponds to a crossing point and such that each node in the one or more graphs corresponds to a trajectory. The graphs may be compared to determine one or more matched graphs that may share a common topology. Common trajectories may be determined based on the matched graphs such that each common trajectory may be associated with a same path across the object and a separate sensor.

公开(公告)号：US20230274416A1

公开(公告)日：2023-08-31

申请号：US18312018

申请日：2023-05-04

Applicant: Tencent Cloud Computing (Beijing) Co., Ltd.

Inventor： Tianliang ZHANG ,  Jinxiang LAI ,  Liqiang BAO ,  Yi ZENG ,  Jun LIU

IPC: G06T7/00 ,  G06T3/40 ,  G06T5/40 ,  G06T7/11 ,  G06V10/25 ,  G06V10/74

CPC classification number: G06T7/001 ,  G06T3/4007 ,  G06T5/40 ,  G06T7/11 ,  G06V10/25 ,  G06V10/761 ,  G06V2201/07 ,  G06T2207/30152

Abstract: An image processing method, apparatus, and device, and a storage medium relate to the field of artificial intelligence. The method may include: obtaining an image corresponding to a target battery module, the target battery module including N solder joints, and the N solder joints being respectively mapped to N solder joint fields in the image; dividing the image according to the N solder joint fields to obtain N image regions in one-to-one correspondence with the N solder joint fields; calculating image difference information between each pair of adjacent image regions among the N image regions to obtain an image difference information set; and performing fault recognition on the target battery module based on the image difference information set. The accuracy for recognizing a preset fault in a battery module can be improved by the method.

公开(公告)号：US11741712B2

公开(公告)日：2023-08-29

申请号：US17463757

申请日：2021-09-01

Applicant: NEC Laboratories America, Inc.

Inventor： Asim Kadav ,  Farley Lai ,  Hans Peter Graf ,  Alexandru Niculescu-Mizil ,  Renqiang Min ,  Honglu Zhou

IPC: G06V20/40 ,  G06T7/73 ,  G06T7/246 ,  G06F18/213 ,  G06N3/045

CPC classification number: G06V20/41 ,  G06F18/213 ,  G06N3/045 ,  G06T7/246 ,  G06T7/73 ,  G06V20/46 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/07

Abstract: A method for using a multi-hop reasoning framework to perform multi-step compositional long-term reasoning is presented. The method includes extracting feature maps and frame-level representations from a video stream by using a convolutional neural network (CNN), performing object representation learning and detection, linking objects through time via tracking to generate object tracks and image feature tracks, feeding the object tracks and the image feature tracks to a multi-hop transformer that hops over frames in the video stream while concurrently attending to one or more of the objects in the video stream until the multi-hop transformer arrives at a correct answer, and employing video representation learning and recognition from the objects and image context to locate a target object within the video stream.

公开(公告)号：US11741685B2

公开(公告)日：2023-08-29

申请号：US15733994

申请日：2019-06-06

Applicant: Shiseido Company, Ltd.

Inventor： Seiji Matsuba ,  Sousuke Shimoyama ,  Masanori Fukuda ,  Tomochika Fujioka ,  Akihito Torii

IPC: G06V10/20 ,  G06T7/11 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44 ,  G06V10/60 ,  G06V20/52

CPC classification number: G06V10/255 ,  G06T7/0008 ,  G06T7/11 ,  G06V10/454 ,  G06V10/60 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30204 ,  G06V2201/07

Abstract: A commodity identification device is provided with: one or more processing devices; and one or more storage devices storing instructions for causing the one or more processing devices to: obtain a taken image; determine whether a commodity is provided with a corresponding mark or not by using a mark detector on the obtained taken image; identify which of a plurality of commodity groups a commodity provided with the mark belongs to by using a first neural network having learned the commodity, on the taken image where the mark is detected; and identify the commodity by using a second neural network having performed learning for each of the commodity groups.

公开(公告)号：US20230267746A1

公开(公告)日：2023-08-24

申请号：US18005358

申请日：2021-07-07

Applicant: SONY SEMICONDUCTOR SOLUTIONS CORPORATION

Inventor： HIROSHI ICHIKI

IPC: G06V20/56 ,  G06T17/00 ,  G06T7/62 ,  G06T7/70 ,  G06V10/25 ,  G06V10/74 ,  G06V10/764

CPC classification number: G06V20/56 ,  G06T17/00 ,  G06T7/62 ,  G06T7/70 ,  G06V10/25 ,  G06V10/761 ,  G06V10/764 ,  G06V2201/07 ,  G06T2207/30242

Abstract: The present technology relates to an information processing device, an information processing method, and a program capable of reducing a load of object recognition using sensor fusion. The information processing device includes an object region detection unit that detects an object region indicating ranges in an azimuth direction and an elevation angle direction in which there is an object within a sensing range of the distance measurement sensor on the basis of three-dimensional data indicating a direction of and a distance to each measurement point measured by a distance measurement sensor, and associates information within a captured image captured by a camera whose imaging range at least partially overlaps the sensing range with the object region. This technology can be applied, for example, to a system that performs object recognition.

公开(公告)号：US20230267731A1

公开(公告)日：2023-08-24

申请号：US17678848

申请日：2022-02-23

Applicant: Aquabyte, Inc.

Inventor： Bryton SHANG ,  Alok SAXENA

IPC: G06V20/05 ,  G01N33/12 ,  G01S15/96 ,  G06V10/764 ,  G06T7/70

CPC classification number: G06V20/05 ,  G01N33/12 ,  G01S15/96 ,  G06T7/70 ,  G06V10/764 ,  G06T2207/10016 ,  G06T2207/30242 ,  G06V2201/07

Abstract: Computer-implemented techniques for multi-modal aquatic biomass estimation includes determining a fish mass measurement, a fish count, or a direct fish biomass estimate from a sample of one or more digital images or digital video captured by a digital camera immersed underwater in a fish farm enclosure. A technique further includes determining a plurality of fish densities for a plurality of water volumes within the fish farm enclosure based on analysis of signals received from a plurality of bias estimation sensors immersed underwater in the fish farm enclosure. The technique also includes computing a bias-adjusted fish mass measurement, fish count, or direct fish biomass estimate for the fish farm enclosure based on (i) the fish mass measurement, the fish count, or the direct fish biomass estimate determined from the sample of one or more digital images or digital video captured by the digital camera immersed underwater in the fish farm enclosure and (ii) the plurality of fish densities determined for the plurality of water volumes.

公开(公告)号：US20230267674A1

公开(公告)日：2023-08-24

申请号：US18170533

申请日：2023-02-17

Applicant: Innolux Corporation

Inventor： Hao-Yu Liou ,  Naoki Sumi ,  Wei-Yi Lu ,  Ruey-Jer Weng

IPC: G06T15/08 ,  G06T3/40 ,  G06V10/24 ,  G06F3/14

CPC classification number: G06T15/08 ,  G06T3/40 ,  G06V10/242 ,  G06F3/14 ,  G06V2201/07

Abstract: The invention provides a three-dimensional (3D) image display method and a display device with a 3D image display function. The 3D image display method includes the following. A display device coordinate system is established. First volume data is obtained, and multiple first coordinates of multiple voxels of the first volume data in an absolute space coordinate system are defined. The multiple first coordinates of the multiple voxels of the first volume data are converted to the display device coordinate system to generate second volume data. Display data is generated according to the second volume data. An image is displayed according to the display data through the display device, and the image forms a 3D image with a 3D object image in human eyes, in which the 3D object image changes equally or proportionally in response to a change desired by a user through an input unit.

公开(公告)号：US20230267639A1

公开(公告)日：2023-08-24

申请号：US17985938

申请日：2022-11-14

Applicant: FUJITSU LIMITED

Inventor： Yoshiaki IKAI ,  Yuka JO

IPC: G06T7/70 ,  G06V20/52 ,  G06V40/20 ,  G06Q30/02

CPC classification number: G06T7/70 ,  G06V20/52 ,  G06V40/20 ,  G06Q30/0207 ,  G06Q30/0255 ,  G06V2201/07 ,  G06T2207/20044 ,  G06T2207/30196

Abstract: A non-transitory computer-readable recording medium has stored therein a distribution program that causes a computer to execute a process, the process including, extracting a person and a product from a video of an inside of a store, tracking the extracted person, identifying a behavior that is performed by the tracked person with respect to a product in the store, identifying a first behavior type that is led by the behavior that is performed by the tracked person with respect to the product among a plurality of behavior types that define transition of a process of the behavior since entrance into the store until purchase of a product in the store, and distributing information on a product indicating the first behavior type to the tracked person when the identified first behavior type is at a predetermined level or higher and the tracked person has not yet purchased the product.