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11.发明授权公开(公告)号：US11320269B2
公开(公告)日：2022-05-03
申请号：US16497692
申请日：2017-03-31
Applicant: NEC CORPORATION
Inventor： Tetsuo Inoshita
Abstract: In order to fly a flying body more safely using a flight route according to a fall enable area, there is provided an image processing apparatus including a detector that detects a fall enable area on the ground surface based on a flying body video obtained when a flying body captures a ground area spreading below while moving. The image processing apparatus further includes a falling range estimator that estimates a falling range on the ground surface in case of a fall, and a decision unit that decides a flight route of the flying body such that the falling range is covered by the detected fall enable area.
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公开(公告)号：US10373021B2
公开(公告)日：2019-08-06
申请号：US15559297
申请日：2016-03-15
Applicant: NEC CORPORATION
Inventor： Tetsuo Inoshita
IPC: G06K9/62 , G06T11/20 , G06N20/00 , G06F3/0484
Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.
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公开(公告)号：US12039758B2
公开(公告)日：2024-07-16
申请号：US17440407
申请日：2020-01-10
Applicant: NEC Corporation
Inventor： Tetsuo Inoshita
IPC: G06T7/90
CPC classification number: G06T7/90 , G06T2207/20081
Abstract: The present disclosure provides an image processing apparatus capable of efficiently generating a learning model having a high accuracy. An image processing apparatus (1) includes a data acquisition unit (2), a data generation unit (4), a recognition accuracy calculation unit (6), and a learning data output unit (8). The data acquisition unit (2) acquires input image data. The data generation unit (4) converts the input image data by using a data conversion parameter and newly generates image data. The recognition accuracy calculation unit (6) calculates a recognition accuracy of the image data generated by the data generation unit (4) by using a learning model stored in advance. The learning data output unit (8) outputs, as learning data, the image data of which the recognition accuracy calculated by the recognition accuracy calculation unit (6) is lower than a first threshold.
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14.发明公开公开(公告)号：US20240233355A9
公开(公告)日：2024-07-11
申请号：US18279136
申请日：2021-09-10
Applicant: NEC Corporation
Inventor： Tetsuo Inoshita , Yuichi Nakatani
CPC classification number: G06V10/82 , G06V10/7715
Abstract: The model training apparatus trains an image conversion model to generate, from an input image representing a scene in a first environment, an output image representing the scene in a second environment. The model training apparatus inputs a training image to the image conversion model to obtain a first feature map and an output image, input the output image to the image conversion model to obtain a second feature map, computes a patch-wise loss using the features corresponding to a positive example patch and a negative example patch extracted from the training image and a positive example patch extracted from the output image, and trains the image conversion model based on the patch-wise loss, which is extracted intensively from the region representing an object of a specific type.
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公开(公告)号：US11900659B2
公开(公告)日：2024-02-13
申请号：US17603100
申请日：2019-04-25
Applicant: NEC Corporation
Inventor： Tetsuo Inoshita
IPC: G06V10/774 , G06V20/40 , G06V10/82
Abstract: A selecting unit selects first moving image data and second moving image data from a plurality of frame images composing moving image data. A first generating unit generates first training data that is labeled data relating to a specific recognition target from the frame images composing the first moving image data. A learning unit learns a first model recognizing the specific recognition target by using the first training data. A second generating unit generates second training data that is labeled data relating to the specific recognition target from the frame images composing the second moving image data by using the first model.
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Patent Agency Ranking
16.发明授权公开(公告)号：US11765315B2
公开(公告)日：2023-09-19
申请号：US16637393
申请日：2017-08-08
Applicant: NEC CORPORATION
Inventor： Tetsuo Inoshita
IPC: B64D45/08 , B64D47/08 , G05D1/10 , G06T7/20 , G06V10/40 , G06V10/75 , G06V20/13 , G08G5/02 , H04N5/765 , H04N5/91 , H04N5/77 , G05D1/08 , G06V10/46 , G06V20/17
CPC classification number: H04N5/772 , B64D45/08 , B64D47/08 , G05D1/0808 , G05D1/101 , G06T7/20 , G06V10/462 , G06V20/17 , G08G5/025 , H04N5/765 , H04N5/91 , G06T2207/10032 , G06T2207/30181
Abstract: To more reliably land a flying body at a desired point, a flying body includes a determiner that determines whether the flying body is taking off and ascending from a takeoff point or descending to land, a camera mounted in the flying body, a recorder that records a lower image captured by the camera if it is determined that the flying body is taking off and ascending and a guider that, if it is determined that the flying body is descending to land, guides the flying body to the takeoff point while descending using a lower image recorded in the recorder during takeoff/ascent and a lower image captured during the descent.
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公开(公告)号：US20230289998A1
公开(公告)日：2023-09-14
申请号：US18019431
申请日：2020-08-14
Applicant: NEC Corporation
Inventor： Tetsuo Inoshita
CPC classification number: G06T7/73 , G06V20/52 , G06T2207/20044 , G06V2201/07
Abstract: In an object recognition device, an estimation means estimates a possession of the person based on a pose of a person in an image. An object detection means detects an object from surroundings of the person in the image. A weighting means sets weights with respect to an estimation result of the possession and a detection result of the object based on the image. A combination unit combines the estimation result of the possession and the detection result of the object by using the weights being set, and recognizes the possession of the person.
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公开(公告)号：US11537814B2
公开(公告)日：2022-12-27
申请号：US17053587
申请日：2018-05-07
Applicant: NEC CORPORATION
Inventor： Tetsuo Inoshita
Abstract: Identification means 71 identifies an object indicated by data by applying the data to a model learned by machine learning. Determination means 72 determines whether or not the data is transmission target data to be transmitted to a predetermined computer based on a result obtained by applying the data to the model. Data transmission means 73 transmits the data determined to be the transmission target data to the predetermined computer at a predetermined timing.
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19.发明授权公开(公告)号：US10572772B2
公开(公告)日：2020-02-25
申请号：US16452644
申请日：2019-06-26
Applicant: NEC CORPORATION
Inventor： Tetsuo Inoshita
IPC: G06K9/62 , G06T11/20 , G06F3/0484 , G06N20/00
Abstract: Provided is an object detection device for efficiently and simply selecting an image for creating instructor data on the basis of the number of detected objects. The object detection device is provided with: a detection unit for detecting an object from each of a plurality of input images using a dictionary; an acceptance unit for displaying, on a display device, a graph indicating the relationship between the input images and the number of subregions in which the objects are detected, and displaying, on the display device, in order to create instructor data, one input image among the plurality of input images in accordance with a position on the graph accepted by operation of an input device; a generation unit for generating the instructor data from the input image; and a learning unit for learning a dictionary from the instructor data.
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公开(公告)号：US10026002B2
公开(公告)日：2018-07-17
申请号：US15025337
申请日：2014-08-21
Applicant: NEC Corporation
Inventor： Tetsuo Inoshita
Abstract: An object detection apparatus, etc., capable of detecting an object area with greater precision is disclosed. Such an object detection apparatus is provided with: a part area indication means for indicating a part area which is an area including a target part among parts forming an object including an detection-target object, from a plurality of images including the object; an appearance probability distribution generation means for generating an appearance probability distribution and the absence probability distribution of the part area based on the appearance frequency of the part area associated with each position in the images; and an object determination means for determining, in an input image, the area including the object, with reference to the appearance probability distribution and the absence probability distribution of the part area.
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