公开(公告)号：US11869246B2

公开(公告)日：2024-01-09

申请号：US17476124

申请日：2021-09-15

Applicant: HERE Global B.V.

Inventor： Priyank Sameer ,  Suresh Ningthoujam

IPC: G06V20/52 ,  G06T17/05 ,  H04W4/02 ,  G06F16/29 ,  H04W4/021

CPC classification number: G06V20/53 ,  G06F16/29 ,  G06T17/05 ,  H04W4/021 ,  H04W4/023 ,  G06V2201/07

Abstract: An approach is disclosed for detecting cornering spots capable of facilitating crowd control by limiting a mobility of a crowd. The approach involves, for example, collecting satellite, aerial, and/or street-level imagery associated with one or more geographic features of a geographic area. The approach also involves determining at least one cornering spot along with one or more attributes of the cornering spot characterizing the effectiveness of the cornering spot to assist in crowd control. Cornering spot data can be stored in a geographic database and/or displayed in an application on user equipment.

公开(公告)号：US20240005624A1

公开(公告)日：2024-01-04

申请号：US18254007

申请日：2021-10-13

Applicant: MAYEKAWA MFG. CO., LTD.

Inventor： Hikaru IMAMURA ,  Masaru TOKUMOTO ,  Hiroaki MURANAMI

IPC: G06V10/143 ,  G06V10/60 ,  G06V10/774 ,  G01N21/88

CPC classification number: G06V10/143 ,  G06V10/60 ,  G06V10/774 ,  G01N21/8851 ,  G06V2201/07 ,  G06V20/68

Abstract: A target detection device includes: a first image acquiring unit configured to acquire a first image depicting a subject, which is generated by irradiating the subject with light belonging to a first wavelength group; a second image acquiring unit configured to acquire a second image depicting the subject, which is generated by irradiating the subject with light belonging to a second wavelength group other than the first wavelength group and having a different wavelength from the light with which the subject has been irradiated to generate the first image; and a target detecting unit configured to detect a target included in the subject using the first image and the second image.

公开(公告)号：US20240005536A1

公开(公告)日：2024-01-04

申请号：US18212480

申请日：2023-06-21

Applicant: Apple Inc.

Inventor： Maxime Meilland ,  Emmanuel Piuze-Phaneuf

IPC: G06T7/50 ,  G06F3/04815 ,  H04N13/279 ,  G06V40/10

CPC classification number: G06T7/50 ,  G06F3/04815 ,  H04N13/279 ,  G06V40/107 ,  G06T2207/30196 ,  G06V2201/07

Abstract: In one implementation, a method of determining a display location is performed by a device including one or more processors and non-transitory memory. The method includes obtaining a camera set of two-dimensional coordinates of a user input object in a physical environment. The method includes obtaining depth information of the physical environment excluding the user input object. The method includes transforming the camera set of two-dimensional coordinates into a display set of two-dimensional coordinates based on the depth information of the physical environment excluding the user input object.

公开(公告)号：US11861907B2

公开(公告)日：2024-01-02

申请号：US17626994

申请日：2019-08-13

Applicant: Intel Corporation

Inventor： Yikai Fang ,  Qiang Li ,  Wenlong Li ,  Haihua Lin ,  Chen Ling ,  Ming Lu ,  Hongzhi Tao ,  Xiaofeng Tong ,  Yumeng Wang

IPC: G06V20/40 ,  H04N5/232 ,  G06V40/10 ,  G06V10/74 ,  G06V10/82 ,  H04N23/80

CPC classification number: G06V20/42 ,  G06V10/761 ,  G06V10/82 ,  G06V20/47 ,  G06V40/103 ,  H04N23/80 ,  G06V2201/07

Abstract: Methods, systems and apparatuses may provide for technology that selects a player from a plurality of players based on an automated analysis of two-dimensional (2D) video data associated with a plurality of cameras, wherein the selected player is nearest to a projectile depicted in the 2D video data. The technology may also track a location of the selected player over a subsequent plurality of frames in the 2D video data and estimate a location of the projectile based on the location of the selected player over the subsequent plurality of frames.

公开(公告)号：US20230421885A1

公开(公告)日：2023-12-28

申请号：US18333657

申请日：2023-06-13

Applicant: CANON KABUSHIKI KAISHA

Inventor： Takuya SAKAMAKI

IPC: H04N23/611 ,  H04N23/60 ,  G06V40/16

CPC classification number: H04N23/611 ,  H04N23/64 ,  G06V40/174 ,  G06V2201/07

Abstract: An apparatus controls an image capturing apparatus that obtains, through automatic shooting, an image to be provided to a user. The apparatus evaluates a state of a subject, determines, based on a result of the evaluation, whether to cause the image capturing apparatus to perform shooting, obtains demand information that indicates demand tendencies of a user respectively for state types of the subject, and controls an operation of the determination based on the demand information. The apparatus controls the operation of the determination so that a frequency at which the image capturing apparatus performs shooting varies in accordance with magnitudes of demands for the respective state types of the subject.

公开(公告)号：US20230419839A1

公开(公告)日：2023-12-28

申请号：US18463265

申请日：2023-09-07

Applicant: Humanising Autonomy Limited

Inventor： Raunaq Bose ,  Leslie Cees Nooteboom ,  Maya Audrey Lara Pindeus

IPC: G08G1/16 ,  G06N20/00 ,  G06V20/52 ,  B60W40/09 ,  B60W50/14 ,  G08G1/017 ,  G06V10/80 ,  G06V20/40 ,  G06V20/58 ,  G06V40/20

CPC classification number: G08G1/166 ,  G06N20/00 ,  G06V20/52 ,  B60W40/09 ,  B60W50/14 ,  G08G1/0175 ,  G06V10/809 ,  G06V20/46 ,  G06V20/58 ,  G06V40/20 ,  G06V2201/07 ,  G06V2201/08 ,  B60W2040/0863

Abstract: The systems and methods disclosed herein provide a risk prediction system that uses trained machine learning models to make predictions that a VRU will take a particular action. The system first receives, in a video stream, an image depicting a VRU operating a micro-mobility vehicle and extract the depictions from the image. The extraction process may be determined by bounding box classifiers trained to identify various VRUs and micro-mobility vehicles. The system feeds the extracted depictions to machine learning models and receives, as an output, risk profiles for the VRU and the micro-mobility vehicle. The risk profile may include data associated with the VRU/micro-mobility vehicle determined based on classifications of the VRU and the micro-mobility vehicles. The system may then generate a prediction that the VRU operating the micro-mobility vehicle will take a particular action based on the risk profile.

公开(公告)号：US20230419532A1

公开(公告)日：2023-12-28

申请号：US18326144

申请日：2023-05-31

Applicant: BULL SAS

Inventor： Eva STRUNZ ,  Thomas BIERHOFF

IPC: G06T7/70 ,  G06V10/44 ,  G06V10/74 ,  G06V20/70

CPC classification number: G06T7/70 ,  G06V10/44 ,  G06V10/761 ,  G06V20/70 ,  G06V2201/07 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The invention relates to a method for training an artificial neural network (ANN) for object detection in images. The method includes a training phase of training the ANN with a training database (TDB) that includes training images, and measuring a performance of the trained ANN with a validation database that includes validation images. If the measured performance is not satisfactory, the method further includes an enhancing phase of detecting a mismatch between the validation images and a response of the trained ANN in response to the validation images, correlating the mismatch to a characteristic of the training images that impacts the training of the ANN, modifying the training database according to the characteristic, and training the ANN with the modified training database. The invention further relates to a non-transitory computer program and a device configured to carry out the method, and to an artificial neural network trained with the method.

公开(公告)号：US11854307B2

公开(公告)日：2023-12-26

申请号：US17516725

申请日：2021-11-02

Applicant: Harbin Institute of Technology, Weihai

Inventor： Xin Hu ,  Deqiong Ding ,  Zhengzuo Li ,  Zhiyuan Zhou ,  Dianhui Chu

IPC: G06V40/20 ,  G06T7/277

CPC classification number: G06V40/25 ,  G06T7/277 ,  G06T2207/10028 ,  G06V2201/07

Abstract: In the multi-target detection and tracking method, lidar (2D laser scanner) scans point cloud data of surroundings and transfers the collected data to the edge server. Then, the edge server uploads the data to the cloud. After obtaining the lidar data, point clouds of footsteps are extracted through dynamic point extraction, point clustering, and random forest model, respectively. Footsteps are matched to form human tracking trajectory by using trajectory matching. After the tracking process, the walking information is published to the users, in a visual form. Meanwhile, the gait parameters are saved into files, including walking speed and step length, when human is detected. Comparing to the visual sensor based human tracking methods, the present invention employs lidar to avoid the interference of ambient light, which leads to easier implementation and larger universality, especially for multi-target scenarios.

公开(公告)号：US11854278B2

公开(公告)日：2023-12-26

申请号：US17767189

申请日：2020-10-02

Applicant: SONY GROUP CORPORATION

Inventor： Shigeki Tatematsu ,  Michiro Hirai

IPC: G06V20/62 ,  G06V10/77 ,  G06V30/18

CPC classification number: G06V20/625 ,  G06V10/7715 ,  G06V30/18162 ,  G06V2201/07

Abstract: The present disclosure relates to an information processing device and method, and a program that enable processing, related to management of a vehicle, to be performed even in a case where no vehicle registration number is recognizable. Feature information of a vehicle is extracted from a captured image on the basis of a detection result of a number plate of the vehicle in the captured image, and the feature information of the vehicle extracted by the feature extraction unit is registered in a predetermined database. The present disclosure can be applied to, for example, an information processing device, an image processing device, a communication device, an electronic device, an information processing method, a program, and the like.

公开(公告)号：US11847715B2

公开(公告)日：2023-12-19

申请号：US17614800

申请日：2020-07-13

Applicant: Sony Interactive Entertainment Inc.

Inventor： Masashi Nakata

IPC: G06T7/11 ,  G06T7/70 ,  H04N13/332 ,  H04N13/383 ,  G06V20/20 ,  G06V10/62 ,  G06T19/00 ,  G06V10/22 ,  H04N7/18

CPC classification number: G06T19/006 ,  G06T7/11 ,  G06T7/70 ,  G06V10/235 ,  G06V10/62 ,  G06V20/20 ,  H04N7/183 ,  H04N13/332 ,  H04N13/383 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06V2201/07

Abstract: In an image processing apparatus, a region extraction part extracts an image of the sky as an image of a target object not included in an object of interest in a moving image of content, on the basis of at least any of changes in pixel values, a frequency at which a line of sight is directed, a distance from a camera, registered information designating the target object, and the like. In the extracted region, a different image presentation part displays an image indicative of a magnified image of a player and character information for cheering as an image different from the sky image.