-
公开(公告)号:US20220130140A1
公开(公告)日:2022-04-28
申请号:US17436705
申请日:2019-03-14
Applicant: NEC corporation
Inventor: Soma SHIRAISHI , Yasunori BABAZAKI , Hideaki SATO , Jun PIAO
IPC: G06V10/778 , G06V10/774
Abstract: An information presentation device acquires a training image to be used for a learning and acquires an estimated target object position that is a position estimated as an area or coordinates where a target object exists in the training image. Then, information presentation device acquires a specified target object position that is a position specified as the area or the coordinates where the target object exists in the training image and presents information for prompting a user to confirm the area or the coordinates where the target object exists based on a difference between the estimated target object position and the specified target object position.
-
2.
公开(公告)号:US20220172457A1
公开(公告)日:2022-06-02
申请号:US17436716
申请日:2019-03-14
Applicant: NEC Corporation
Inventor: Hideaki SATO , Soma SHIRAISHI , Yasunori BABAZAKI , Jun PIAO
IPC: G06V10/774 , G06V10/422 , G06V10/25
Abstract: A teaching data correction device sets, for teaching data indicating an object area where an object of interest exists in a training image, a correction candidate area which is an area to be a correction candidate of the object area, the training image being used for learning. The teaching data correction device generates an output machine based on the correction candidate area, the output machine being learned to output, when an image is inputted thereto, an identification result or a regression result relating to the object of the interest. Then, the teaching data correction device updates the teaching data by the correction candidate area based on an accuracy of the output machine, the accuracy being calculated based on the identification result or the regression result outputted by the output machine.
-
公开(公告)号:US20220130135A1
公开(公告)日:2022-04-28
申请号:US17436695
申请日:2019-03-13
Applicant: NEC Corporation
Inventor: Jun PIAO , Soma SHIRAISH , Yasunori BABAZAKI , Hideaki SATO
IPC: G06V10/774 , G06T7/70 , G06V10/776 , G06V10/94
Abstract: The target image acquisition unit 31A acquires a target image subjected to annotation of a correct answer. The first correct answer data acquisition unit 32A acquires first correct answer data indicative of a position including a target object displayed in the target image, a position of a part of the target object or a candidate position of the target object. The second correct answer data generation unit 33A generates, on a basis of an estimator, second correct answer data indicative of an estimated position of the target object from the first correct answer data. Here, the estimator is learned to output the estimated position of the target object from a position including the target object or a position indicating a part of the target object or a candidate position of the target object.
-
公开(公告)号:US20220172460A1
公开(公告)日:2022-06-02
申请号:US17436711
申请日:2019-03-14
Applicant: NEC Corporation
Inventor: Yasunori BABAZAKI , Jun PIAO , Hideaki SATO , Soma SHIRAISHI
IPC: G06V10/774 , G06V10/778
Abstract: A training data generation device performs the processes of: acquiring first correct answer data that is correct answer data with respect to each training image of a training image group, the training image group including plural training images to be given the correct answer data, the training image group being divided into plural image subgroups, the first correct answer data being generated in a different situation for each of the plural image subgroups; generating a discriminator with respect to the each of the plural image subgroups, the discriminator being learned based on the each of the plural image subgroups and the first correct answer data corresponding to the each of the plural image subgroups; acquiring a discrimination result outputted by the discriminator for each of the plural training images by inputting the each of the plural training images to the discriminator which is generated based on at least one image subgroup other than an image subgroup to which the each of the training images belongs; and generating second correct answer data for the each of the plural training images based on the discrimination result and the first correct answer data.
-
公开(公告)号:US20210342584A1
公开(公告)日:2021-11-04
申请号:US17270566
申请日:2018-08-29
Applicant: NEC Corporation
Inventor: Hideaki SATO
Abstract: An object recognition device includes an appearance feature generation unit, a movement feature generation unit, a feature combining unit, and a recognition unit to recognize the moving object in the captured image with high precision even if the area of the moving object in the captured image varies due to movement in the direction receding from/approaching to an imaging device. The appearance feature generation unit extracts, as an appearance feature, an appearance-related feature from an image of the moving object in the captured image. The movement feature generation unit normalizes a movement amount of the moving object in the captured image to calculate a value obtained by the normalization as a movement feature. The feature combining unit combines the appearance feature with the movement feature. The recognition unit recognizes the moving object using information obtained by the feature combining unit.
-
6.
公开(公告)号:US20220366802A1
公开(公告)日:2022-11-17
申请号:US17785120
申请日:2019-12-27
Applicant: NEC CORPORATION
Inventor: Hideaki SATO , Kyota Higa
Abstract: In a flying object management apparatus, a flight plan acquisition unit acquires a flight plan of a managed flying object which is a flying object to be managed. An information acquisition unit acquires information of an unmanaged flying object which is a flying object other than the managed flying object. A determination unit determines a possibility of collision between the unmanaged flying object and the managed flying object based on information of the unmanaged flying object and the flight plan. A display unit displays a warning image including the unmanaged flying object having the possibility of collision.
-
公开(公告)号:US20190205361A1
公开(公告)日:2019-07-04
申请号:US16322549
申请日:2017-07-25
Applicant: NEC Corporation
Inventor: Hideaki SATO , Shinji NAKADAI , Masafumi OYAMADA
CPC classification number: G06F17/18 , G06F16/00 , G06F17/245 , G06N20/00
Abstract: A learning means 71 learns, on the basis of learning data including a table including a meaning of a column, and a meaning of the table, a model indicating regularity between a distribution of attribute values according to the meaning of the column in the table and the meaning of the table. An estimating means 72 estimates, on the basis of a distribution of attribute values according to a meaning of a column in an input table and the model, a meaning of the table.
-
公开(公告)号:US20180240019A1
公开(公告)日:2018-08-23
申请号:US15756108
申请日:2017-07-25
Applicant: NEC CORPORATION
Inventor: Hideaki SATO , Masafumi OYAMADA , Shinji NAKADAI
CPC classification number: G06N5/02 , G06F16/221 , G06F17/245 , G06F17/2785
Abstract: A learning means 71 learns, based on learning data containing the meaning of a column in a table and the meaning of the table, a model indicating regularity between the meaning of the column in the table and the meaning of the table. An estimation means 72 estimates the meaning of the table based on the meaning of a column of a table to be input and the model.
-
-
-
-
-
-
-