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公开(公告)号：US20240135720A1
公开(公告)日：2024-04-25
申请号：US18547028
申请日：2022-01-27
Applicant: Continental Autonomous Mobility Germany GmbH
Inventor： Dieter Krökel , Jonathan Wache , Stefan Heinrich , Martin Pfitzer , Thomas Fechner
CPC classification number: G06V20/56 , G01S13/867 , G01S17/86 , G06T7/12 , G06T7/60 , G06V10/25 , G06V10/761 , G06V2201/07
Abstract: The present disclosure relates to a method for the detection and determination of the height of objects by means of an environment detection system, including a first environment detection sensor and a second environment detection sensor of a vehicle, wherein at least one of the environment detection sensors is a mono camera. The method includes the following steps: capturing a mono image using the camera; capturing an environment representation using the second environment detection sensor; carrying out object detection in the mono image; carrying out object detection in the environment representation of the second environment detection sensor; measuring the distance from the object in the environment representation of the second environment detection sensor; and carrying out height determination of the detected object.
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公开(公告)号：US20240135668A1
公开(公告)日：2024-04-25
申请号：US18278980
申请日：2021-11-10
Applicant: NS Solutions Corporation
Inventor： Masato TOKUTAKE
CPC classification number: G06V10/25 , G06T7/13 , G06T7/62 , G06V10/761 , G06V2201/07
Abstract: The present invention is to predict a production amount of a target object with higher accuracy.
An information processing device that predicts a production amount of a target object, the information processing device including: an area extraction module configured to extract a target object area in which the target object exists in a photographed image of the target object photographed by a photographing device; a correction module configured to correct a size of the target object area on the basis of a distance from the photographing device to the target object, detected by a distance sensor; and a prediction module configured to predict the production amount of the target object on the basis of a size of the target object area corrected by the correction module.-
83.发明公开公开(公告)号：US20240135575A1
公开(公告)日：2024-04-25
申请号：US18542438
申请日：2023-12-15
Applicant: Kelby Green , Habib Bukhari
Inventor： Kelby Green , Habib Bukhari
CPC classification number: G06T7/70 , G06T7/20 , G06T7/90 , G06V10/25 , G06V10/56 , G06V10/762 , G06T2207/10024 , G06T2207/30196 , G06V2201/07
Abstract: One variation of a method includes, at a sensor block: detecting a set of objects within a region-of-interest in a frame; detecting an object type of each object; detecting a location of each object within the region-of-interest; and storing object types and object locations of the set of objects in a set of containers. The method further includes, at the computer system: accessing a database of commissioning images; extracting a commissioning image annotated with boundaries from the database; initializing a visualization layer of a set of pixels representing the region-of-interest; and calculating a frequency of presence of the object type intersecting each pixel based on the set of containers; calculating a color value for each pixel based on the frequency of presence; and assigning the color value to each pixel in the visualization layer; and generating a heatmap of the region-of-interest based on the visualization layer and the commissioning image.
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公开(公告)号：US20240135571A1
公开(公告)日：2024-04-25
申请号：US17972784
申请日：2022-10-24
Applicant: Edge Impulse Inc.
Inventor： Matthew Kelcey , Johannes Jongboom , Daniel Situnayake , Arun Rajasekaran
Abstract: An object detection system may be configured for an embedded device, such as a microcontroller. The object detection system may be configured to divide an image into multiple cells arranged in a grid. A cell of the multiple cells may map to a region of one or more pixels in the image. The object detection system may detect in each cell either a background or one of multiple objects that are detectable classes distinct from one another. The background may be detected when none of the multiple objects are detected. The one of the multiple objects may be detected when a centroid of the one of the multiple objects is detected. In some implementations, expected data may be detected in a cell when detecting the data within a range, and anomalous data may be detected in a cell when detecting the data outside of the range.
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公开(公告)号：US20240127582A1
公开(公告)日：2024-04-18
申请号：US18277526
申请日：2022-02-18
Applicant: Marduk Technologies OÜ
Inventor： Toomas Pruuden , Martin Simon , Simon Wenkel
IPC: G06V10/764 , G06V10/60 , G06V10/74 , G06V20/70
CPC classification number: G06V10/764 , G06V10/60 , G06V10/761 , G06V20/70 , G06V2201/07
Abstract: A method for classification of objects in images includes obtaining a plurality of temporally sequential images; detecting at least one object of interest in the images; matching at least one detected object of interest across the plurality of the images; applying variance analysis on the object between the temporally sequential images; and based on variance analysis output, assigning at least one label to the object of interest.
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Patent Agency Ranking
公开(公告)号：US20240127458A1
公开(公告)日：2024-04-18
申请号：US18263256
申请日：2021-02-25
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Peter Siyuan Zhang , Yun David Tang
CPC classification number: G06T7/20 , G06T5/20 , G06T7/62 , G06T7/70 , G06V10/25 , G06T2207/30196 , G06V2201/07
Abstract: Examples of electronic devices are described herein. In some examples, an electronic device includes a processor to provide a first set of images to an object tracker to output a bounding shape that represents an object in the first set of images. In some examples, the processor is to estimate a size and location of the bounding shape in a second set of images in response to the object tracker losing track of the object in the second set of images.
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87.发明公开公开(公告)号：US20240119734A1
公开(公告)日：2024-04-11
申请号：US18045608
申请日：2022-10-11
Inventor： Stephanie Lilith Aelmore , Richard Christopher Ordoñez
IPC: G06V20/40 , G06T7/11 , G06T7/20 , G06V10/30 , G06V10/762
CPC classification number: G06V20/44 , G06T7/11 , G06T7/20 , G06V10/30 , G06V10/762 , G06T2207/20024 , G06V2201/07
Abstract: The invention is a system and method for efficient filtering, clustering, tracking and persistent motion detection for event cameras. More particularly, embodiments of the present invention combine compatible asynchronous event filtering and clustering techniques in a computationally efficient way to identify and track objects in the field of view that exhibit persistent motion characteristic of marine vessels, cars, aircraft, and other vehicles while ignoring dynamic background elements that move in a more erratic fashion.
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公开(公告)号：US20240119638A1
公开(公告)日：2024-04-11
申请号：US18483069
申请日：2023-10-09
Applicant: Huuuge Global Ltd.
Inventor： Bartosz Taudul , Wojciech Gasek , Krzysztof Kondrak
CPC classification number: G06T9/00 , G06T7/11 , G06V10/56 , G06T2207/10024 , G06T2207/20132 , G06V2201/07
Abstract: A method and encoder for encoding target images(s) into an image atlas file. Image elements present in the target images are identified. A set of unique image elements is created including each unique image element identified in the one or more target images and only one instance of each non-unique image element identified in the one or more target images as a corresponding unique image element. The unique image elements of the set are arranged into the image atlas file in a manner that empty spaces in the image atlas file are reduced. A metadata file is generated corresponding to the image atlas file, the metadata file comprising meta information of each target image, wherein meta information of a given target image is indicative of locations and dimensions of unique image elements in the image atlas file that are required to compose the given target image.
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公开(公告)号：US20240119592A1
公开(公告)日：2024-04-11
申请号：US18476320
申请日：2023-09-28
Applicant: FUJIFILM Corporation
Inventor： Taro HATSUTANI , Akimichi ICHINOSE
CPC classification number: G06T7/0012 , G06V10/25 , G06T2207/30096 , G06V2201/07
Abstract: An information processing apparatus, an information processing method, and a program that can determine a region-of-interest candidate of an image using information related to the image are provided.
An information processing apparatus includes one or more processors, and one or more storage devices in which an instruction executed by the one or more processors is stored, in which the one or more processors are configured to acquire an image, related information related to the image, and one or more first region-of-interest candidates included in the image, estimate one or more image regions indicated by the related information from the image and from the related information, and determine a second region-of-interest candidate from among the first region-of-interest candidates based on the estimated image region.-
公开(公告)号：US11954911B2
公开(公告)日：2024-04-09
申请号：US17352442
申请日：2021-06-21
Applicant: NEC Corporation
Inventor： Rina Yakuwa
CPC classification number: G06V20/47 , G06T7/246 , G06T7/70 , G06T2207/10021 , G06T2207/30192 , G06T2207/30252 , G06V2201/07 , G06V2201/08
Abstract: For enabling safer operation of freight trains, a fixed state inspection apparatus includes: a frame image group acquisition unit acquiring frame image group information being information including a plurality of frame images acquired by continuously capturing images of a freight train along a traveling direction, at least one of the frame images including a fixing mechanism that is provided in association with a container in the freight train and can switch between a fixed state and a released state between members; a detection unit detecting the fixing mechanism in an unfixed state different from the fixed state in the freight train, based on the frame image group information; and an output unit generating and outputting detection position information being information allowing determination of a position of the detected fixing mechanism in the freight train, based on a detection frame image being a frame image including the detected fixing mechanism.
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