公开(公告)号：US20240331340A1

公开(公告)日：2024-10-03

申请号：US18738554

申请日：2024-06-10

Applicant: HANWHA VISION CO., LTD.

Inventor： Sung Hyun YOON

IPC: G06V10/25 ,  G06T7/20 ,  G06T7/62 ,  G06T7/70 ,  H04N19/124 ,  H04N19/172

CPC classification number: G06V10/25 ,  G06T7/20 ,  G06T7/62 ,  G06T7/70 ,  H04N19/124 ,  H04N19/172 ,  G06V2201/07

Abstract: An image processing device including a processor configured to: detect object data of an object from first image frames, among image frames input from an image sensor, at predetermined intervals according to an object detection rate which is lower than a frame rate of the image sensor; estimate, based on the object data of the first image frames, object data from second image frames other than the first image frames among the image frames; and encode the image frames at an encoding frame rate that is equal to the frame rate of the image sensor, based on the object data.

公开(公告)号：US20240331188A1

公开(公告)日：2024-10-03

申请号：US18194101

申请日：2023-03-31

Applicant: OmniEyes Co., Ltd. Taiwan Branch

Inventor： Chung-Yuan CHEN ,  Yi-Yen WANG ,  Chun-Ting CHOU

IPC: G06T7/70 ,  G06T17/00 ,  G06V10/74 ,  G06V20/58

CPC classification number: G06T7/70 ,  G06T17/00 ,  G06V10/761 ,  G06V20/582 ,  G06T2207/30256 ,  G06V2201/07

Abstract: A positioning system based on street view information for a vehicle is provided. The positioning system includes a database, an image capturing module and a processing circuit. The database includes information of a plurality of identifiable objects with high discrimination and location information of the plurality of identifiable objects. The image capturing module is disposed on the vehicle and configured to capturing a current image. The processing circuit is configured to determine whether at least one current identifiable object in the current image matches at least one of the plurality of identifiable objects with high discrimination. In response to determining that the at least one currently identifiable object matches at least one first identifiable object of the plurality of identifiable objects, the processing circuit is configured to obtain location information of the at least one first identifiable object for acting as location information of the at least one current identifiable object in the current image and accordingly determine an actual position of the vehicle.

公开(公告)号：US20240320979A1

公开(公告)日：2024-09-26

申请号：US18609209

申请日：2024-03-19

Applicant: The Government of the United States of America, as represented by the Secretary of Homeland Security

Inventor： John F. Jasinski, JR.

IPC: G06V20/52

CPC classification number: G06V20/52 ,  G06V2201/07

Abstract: In an example, a prescreening method includes: capturing an image of one or more items for a user; processing the image of the one or more items by image recognition; analyzing the image processed by image recognition to determine whether any of the one or more items are listed on a list; if none of the one or more items in the image is listed on the list, informing the user that none of the one or more items in the image is listed on the list; and if any of the one or more items in the image is listed on the list, identifying each item in the image which is listed on the list to the user.

公开(公告)号：US20240320848A1

公开(公告)日：2024-09-26

申请号：US18577837

申请日：2022-05-30

Applicant: Japan Agency for Marine-Earth Science and Technology

Inventor： Daisuke SUGIYAMA ,  Mitsuko HIDAKA ,  Daisuke MATSUOKA ,  Fumiaki ARAKI

IPC: G06T7/62 ,  G06Q50/26 ,  G06T7/11 ,  G06V20/00

CPC classification number: G06T7/62 ,  G06Q50/26 ,  G06T7/11 ,  G06V20/38 ,  G06T2207/20081 ,  G06T2207/30181 ,  G06V2201/07

Abstract: A pollution level estimation system is a system that estimates a pollution level at a location to be estimated, the system including an image acquisition unit that acquires an image of the location to be estimated, a detection unit that detects a garbage portion showing garbage and a non-garbage portion not showing garbage at the location to be estimated in the acquired image, and a pollution level estimation unit that calculates areas of the detected garbage portion and non-garbage portion and estimates a pollution level at the location to be estimated on the basis of the calculated area.

公开(公告)号：US20240312046A1

公开(公告)日：2024-09-19

申请号：US18299275

申请日：2023-04-12

Applicant: Juganu Ltd.

Inventor： Dani Fichman ,  Alexander Bilchinsky ,  Eran Ben-Shmuel ,  Gal Zuckerman

IPC: G06T7/70 ,  G06T7/13 ,  G06T7/20 ,  G06T17/20 ,  G06V10/764

CPC classification number: G06T7/70 ,  G06T7/13 ,  G06T7/20 ,  G06T17/20 ,  G06V10/764 ,  G06V2201/07

Abstract: System and methods for visually tracking movement associated with a mobile device in order to determine optimal locations for handing over the device between different base stations arranged in a sequence. Initially, a current location of the mobile device is determined via a radio access network associated with the device. Then, a moving object is visually detected in an immediate proximity to the location determined, using a visual sensor array associated with the radio access network. The moving object detected is assumed to be associated with the mobile device due to said proximity, and is hence visually tracked along its path of progression, until arriving at a location that was previously determined to be optimal for performing a handover between two adjacent base stations. A handover is then executed, while continuing with said visual tracking until another handover is required.

公开(公告)号：US12094159B1

公开(公告)日：2024-09-17

申请号：US18135399

申请日：2023-04-17

Applicant: Bertec Corporation

Inventor： Emre Akbas ,  Utku Aktas ,  Bedirhan Uguz ,  Ozhan Suat ,  Necip Berme ,  Mohan Chandra Baro

IPC: G06T7/73 ,  G06F18/21 ,  G06N3/045 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V40/10 ,  G06V40/20 ,  H04N23/90

CPC classification number: G06T7/73 ,  G06F18/21 ,  G06N3/045 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V40/10 ,  G06V40/20 ,  G06T2207/20016 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30196 ,  G06V2201/07 ,  H04N23/90

Abstract: A system for estimating a pose of one or more persons in a scene includes a camera configured to capture one or more images of the scene; and a data processor configured to execute computer executable instructions for: (i) receiving the one or more images of the scene from the camera; (ii) extracting features from the one or more images of the scene for providing inputs to a keypoint subnet and a person detection subnet; (iii) generating one or more keypoints using the keypoint subnet; (iv) generating one or more person instances using the person detection subnet; (v) assigning the one or more keypoints to the one or more person instances by learning pose structures from image data; and (vi) determining one or more poses of the one or more persons in the scene using the assignment of the one or more keypoints to the one or more person instances.

公开(公告)号：US12094135B2

公开(公告)日：2024-09-17

申请号：US17829644

申请日：2022-06-01

Applicant: Snap Inc.

Inventor： Sergey Tulyakov ,  Roman Furko ,  Aleksei Stoliar

IPC: G06T7/277 ,  G06F18/214 ,  G06T7/246 ,  G06T7/73 ,  G06T11/60 ,  G06V10/25 ,  G06V10/62 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/20 ,  G06V20/40 ,  G06V40/10 ,  G06V40/16

CPC classification number: G06T7/277 ,  G06F18/2148 ,  G06F18/2155 ,  G06T7/246 ,  G06T7/73 ,  G06T11/60 ,  G06V10/25 ,  G06V10/764 ,  G06V10/7747 ,  G06V10/7753 ,  G06V10/776 ,  G06V10/82 ,  G06V20/20 ,  G06V20/40 ,  G06V40/10 ,  G06V40/168 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06V10/62 ,  G06V2201/07

Abstract: A landmark detection system can more accurately detect landmarks in images using a detection scheme that penalizes for dispersion parameters, such as variance or scale. The landmark detection system can be trained using both labeled and unlabeled training data in a semi-supervised approach. The landmark detection system can further implement tracking of an object across multiple images using landmark data.

公开(公告)号：US12094117B2

公开(公告)日：2024-09-17

申请号：US18487438

申请日：2023-10-16

Applicant: ADIUVO DIAGNOSTICS PRIVATE LIMITED

Inventor： Bala Pesala ,  Geethanjali Radhakrishnan ,  Bikki Kumar Sha ,  John King

IPC: G06T7/00 ,  G01N21/64 ,  G06T7/50 ,  G06V10/10 ,  G06V10/60 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06T7/50 ,  G06V10/17 ,  G06V10/60 ,  G06V10/82 ,  G01N21/6486 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30088 ,  G06V2201/03 ,  G06V2201/07

Abstract: Techniques are for detecting presence of a problematic cellular entity in a target. In an example, using an analysis model, a fluorescence-based image is analyzed. The analysis model is trained using a number of reference fluorescence-based images for detecting the presence of problematic cellular entities in targets. Based on the analysis, a problematic cellular entity present in the target is detected. To perform the detection, the analysis model is trained to differentiate between the fluorescence in the fluorescence-based image emerging from the problematic cellular entity and the fluorescence in the fluorescence-based image emerging from regions other than the problematic cellular entity.

公开(公告)号：US20240296936A1

公开(公告)日：2024-09-05

申请号：US18589490

申请日：2024-02-28

Applicant: Siemens Healthineers AG

Inventor： Han Liu ,  Zhoubing Xu ,  Sasa Grbic

IPC: G16H30/40 ,  G06V10/44 ,  G06V20/70 ,  G16H30/20

CPC classification number: G16H30/40 ,  G06V10/44 ,  G06V20/70 ,  G16H30/20 ,  G06V2201/07

Abstract: Systems and methods for performing a medical imaging analysis task are provided. One or more input medical images are received. A medical imaging analysis task is performed based on the one or more input medical images using a machine learning based model. Results of the medical imaging analysis task are output. The machine learning based model is trained by receiving one or more training medical images and ground truth labels identifying one or more anatomical objects in the one or more training medical images, training the machine learning based model for performing the medical imaging analysis task based on the one or more training medical images and the ground truth labels, generating pseudo labels identifying the one or more anatomical objects in the one or more training medical images using the trained machine learning based model, and fine-tuning the trained machine learning based model for performing the medical imaging analysis task based on the one or more training medical images, the ground truth labels, and the generated pseudo labels.

公开(公告)号：US20240296679A1

公开(公告)日：2024-09-05

申请号：US18435471

申请日：2024-02-07

Applicant: Axis AB

Inventor： Björn BENDERIUS

IPC: G06V20/52 ,  G06T3/40 ,  G06T5/92 ,  G06V10/56 ,  G06V10/764

CPC classification number: G06V20/52 ,  G06T3/40 ,  G06T5/92 ,  G06V10/56 ,  G06V10/764 ,  G06T2207/20132 ,  G06V2201/07

Abstract: A computer-implemented method in a processor device of a camera, the method comprising: acquiring image frames comprising video data, communicating with a receiver device for continuously transmitting a video stream to the receiver device over a communication network; detecting at least one object in the image frames of the video data, the detected at least one object belong to at least one predetermined object class selected as surveillance target; cropping sub-areas in the image frames of the video data, the sub-areas including the at least one detected object, and adding the cropped sub-areas to image frames of the video stream being continuously transmitted as a single video stream to the receiver device.