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1.发明公开公开(公告)号：US20240202916A1
公开(公告)日：2024-06-20
申请号：US18417144
申请日：2024-01-19
Applicant: NEC Corporation
Inventor： Azusa SAWADA
CPC classification number: G06T7/0012 , G16H30/20 , G16H30/40 , G06T2207/10068 , G06T2207/20081 , G06T2207/30096
Abstract: In order to achieve object detection with high accuracy by additionally using an image such as a background image in accordance with a situation, an object detection apparatus (1) includes: an image acquisition section (11) that acquires a first image; a calculation section (12) that uses a first model to calculate a first map from the first image; and a detection section (13) that carries out object detection with reference to at least the first map, in a case where the image acquisition section (11) acquires not only the first image but also a second image, the calculation section (12) using a second model to calculate a second map from the second image or from the first image and the second image, and the detection section (13) carrying out object detection with reference to not only the first map but also the second map.
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公开(公告)号：US20210174231A1
公开(公告)日：2021-06-10
申请号：US17263738
申请日：2018-08-02
Applicant: NEC Corporation
Inventor： Azusa SAWADA , Takashi SHIBATA , Katsuhiko TAKAHASHI
Abstract: Disclosed is a model generation device capable of mitigating the risk of overlooking a phenomenon of interest in machine learning. The model generation device determines whether or not a label of a first data is similar to a label of a second data. The model generation device assigns the label of the second data to the first data when determining that the label of the first data is similar to the label of the second data based on a degree of similarity between observation information representing a state where the first data is observed and observation information representing a state where the second data is observed. The model generation device calculates model representing a relevance between data information containing the first data and the second data and label information containing the assigned label and the label of the second data.
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公开(公告)号：US20210133474A1
公开(公告)日：2021-05-06
申请号：US17055819
申请日：2018-05-18
Applicant: NEC Corporation
Inventor： Azusa SAWADA
Abstract: An image processing apparatus (1) includes: a determination unit (11) configured to determine, using a ground truth, a degree to which each of a plurality of candidate areas that correspond to respective predetermined positions common to the plurality of images includes a corresponding ground truth area for each of the plurality of images; and a first learning unit (12) configured to learn, based on a plurality of feature maps extracted from each of the plurality of images, a set of the results of the determination made by the determination means, and the ground truth, a parameter (14) used when an amount of positional deviation between the position of the detection target included in a first image captured by a first modal and the position of the detection target included in a second image captured by a second modal is predicted.
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公开(公告)号：US20250078289A1
公开(公告)日：2025-03-06
申请号：US18559634
申请日：2021-05-17
Applicant: NEC Corporation
Inventor： Azusa SAWADA
IPC: G06T7/246 , G01N21/90 , G06T7/00 , G06V10/764 , G06V10/774 , G06V10/776
Abstract: An inspection system includes: an identification model learning means that performs machine-learning of a model identifying the type of a target object from time-series data representing the movement trajectory of the target object obtained by observation; a confidence level prediction model learning means that performs machine-learning of a confidence level prediction model estimating the confidence level of an estimation result by the identification model from the observation specification of time-series data representing the movement trajectory of a target object; and a determining means that uses the learned identification model to estimate the type of a target object from the movement trajectory of the target object obtained by observation, and uses the learned confidence level prediction model to predict the confidence level of an estimation result by the identification model from the observation specification of the time-series data.
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公开(公告)号：US20240169535A1
公开(公告)日：2024-05-23
申请号：US18417288
申请日：2024-01-19
Applicant: NEC Corporation
Inventor： Azusa SAWADA
CPC classification number: G06T7/0014 , G16H30/20 , G06T2207/10068 , G06T2207/20081 , G06T2207/30096
Abstract: In order to achieve object detection with high accuracy by additionally using an image such as a background image in accordance with a situation, an object detection apparatus (1) includes: an image acquisition section (11) that acquires a first image; a calculation section (12) that uses a first model to calculate a first map from the first image; and a detection section (13) that carries out object detection with reference to at least the first map, in a case where the image acquisition section (11) acquires not only the first image but also a second image, the calculation section (12) using a second model to calculate a second map from the second image or from the first image and the second image, and the detection section (13) carrying out object detection with reference to not only the first map but also the second map.
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Patent Agency Ranking
公开(公告)号：US20230360361A1
公开(公告)日：2023-11-09
申请号：US18026530
申请日：2020-09-28
Applicant: NEC CORPORATION
Inventor： Azusa SAWADA
CPC classification number: G06V10/751 , G06T7/50 , G06T7/70 , G06V10/25 , G06V2201/07
Abstract: An image processing device 100 of the present invention includes a region extraction unit 121 that extracts, from a captured image, a mobile body region that is a region having a possibility that a mobile body exists, a matching unit 122 that performs template matching on the mobile body region by using a template corresponding to a mobile body that is a detection object, and a detection unit 123 that detects each mobile body from the mobile body region separately, on the basis of the template matching.
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公开(公告)号：US20210201007A1
公开(公告)日：2021-07-01
申请号：US17058796
申请日：2018-05-29
Applicant: NEC Corporation
Inventor： Takashi SHIBATA , Azusa SAWADA , Katsuhiko TAKAHASHI
Abstract: The purpose of the present invention is to detect an object in images accurately by means of image recognition without using a special device for removing the influence of the parallax between a plurality of images. An image transformation unit (401) transforms a plurality of images acquired by an image acquisition unit (407). A reliability level calculation unit (402) calculates a level of reliability representing how small the misalignment between images is. A score calculation unit (405) calculates a total score taking into account both an object detection score based on a feature quantity calculated by a feature extraction unit (404), and the level of reliability calculated by the reliability level calculation unit (402). An object detection unit (406) detects an object in the images on the basis of the total score.
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公开(公告)号：US20210056675A1
公开(公告)日：2021-02-25
申请号：US16982871
申请日：2018-03-22
Applicant: NEC CORPORATION
Inventor： Kyota HIGA , Azusa SAWADA
IPC: G06T7/00
Abstract: An image generation means 81 generates an image using a generator. A discrimination means 82 discriminates whether an object image includes a feature of a target image, using a discriminator. A first update means 83 updates the generator so as to minimize a first error representing a degree of divergence between a result of discriminating a generated image using the discriminator and a correct answer label associated with the generated image, the generated image being the image generated using the generator. A second update means 84 updates the discriminator so as to minimize a second error representing a degree of divergence between each of respective results of discriminating the generated image, a first actual image including the feature of the target image, and a second actual image not including the feature of the target image using the discriminator and a correct answer label associated with a corresponding image.
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公开(公告)号：US20240331418A1
公开(公告)日：2024-10-03
申请号：US18579930
申请日：2022-08-31
Applicant: NEC Corporation
Inventor： Kyoko MUROZONO , Azusa SAWADA , Kenta SENZAKI , Hironobu MORI , Katsuya ODAKA
Abstract: This image processing device is configured to comprise a region setting unit, a standard image extraction unit, a data generation unit, and an output unit. The region setting unit sets, in an annotation target image, a region in which an annotation target object can be present as a candidate region. The standard image extraction unit extracts, from an image on which annotation has been completed, a standard image that is an image in which an object identical to the target object is captured. The data generation unit generates, as annotation data, data in which the annotation target image, a reference image which is captured of a region including the candidate region at a time different from the time when the annotation target image is captured, and the standard image are associated with each other. The output unit outputs the generated annotation data generated.
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10.发明公开公开(公告)号：US20240112447A1
公开(公告)日：2024-04-04
申请号：US17768597
申请日：2019-10-24
Applicant: NEC Corporation
Inventor： Azusa SAWADA , Soma SHIRAISHI , Takashi SHIBATA
IPC: G06V10/772 , G06V10/774
CPC classification number: G06V10/772 , G06V10/774 , G06V10/82
Abstract: The learning device includes a metric space learning unit and a case example storage unit. The metric space learning unit learns a metric space including feature vectors extracted from attributed image data, for each combination of different attributes, using the attributed image data to which attribute information is assigned. The case example storage unit computes the feature vector from the image data for case example to store the computed feature vector as a case example associated with the metric space, and stores additional information associated with the case example.
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