公开(公告)号：US20240428667A1

公开(公告)日：2024-12-26

申请号：US18809478

申请日：2024-08-20

Applicant: NEC Corporation

Inventor： Jianquan LIU ,  Kenta ISHIHARA

IPC: G08B13/196

Abstract: The present invention provides a learning apparatus (10) including: an acquisition unit (11) that acquires an image; a similarity computation unit (12) that computes a similarity between the acquired image, and a first image being accumulated in advance and indicating an abnormal state; a registration unit (13) that registers, as a second image indicating a normal state, the acquired image whose similarity is equal to or less than a first reference value; and a learning unit (14) that generates an estimation model for discriminating between normal and abnormal by machine learning using the first image and the second image.

公开(公告)号：US20220230330A1

公开(公告)日：2022-07-21

申请号：US17614044

申请日：2019-05-31

Applicant: NEC Corporation

Inventor： Kenta ISHIHARA

IPC: G06T7/246 ,  G06V10/77

Abstract: In an estimation device, an acquisition unit acquires a “plurality of images”. The “plurality of images” are images in each of which a “real space” is captured, and have mutually different capture times. The acquisition unit acquires information related to a “capture period length”, which corresponds to a difference between an earliest time and a latest time of the plurality of times that correspond the “plurality of images”, respectively. An estimation unit estimates a position of an “object under estimation” on an “image plane” and a movement velocity of the “object under estimation” in the real space, based on the “plurality of images” and the information related to the “capture period length” acquired. The “image plane” is an image plane of each acquired image.

公开(公告)号：US20240404248A1

公开(公告)日：2024-12-05

申请号：US18698046

申请日：2021-10-26

Applicant: NEC Corporation

Inventor： Kenta ISHIHARA

IPC: G06V10/764 ,  G06T7/70 ,  G06V10/44 ,  G06V10/74

Abstract: A class boundary detection apparatus (2000) acquires target time-series data (10). The class boundary detection apparatus (2000) extracts a plurality of pieces of extracted time-series data from the target time-series data (10), and calculates a similarity between each piece of extracted time-series data and reference time-series data (30). The reference time-series data (30) is time-series data representing a class boundary, and has a head portion of time-series data belonging to a subsequent class indicated by the class boundary after a tail portion of time-series data belonging to a preceding class indicated by the class boundary. The class boundary detection apparatus (2000) detects a class boundary represented by the reference time-series data (30) from extracted time-series data having the calculated similarity equal to or more than a threshold.

公开(公告)号：US20220076001A1

公开(公告)日：2022-03-10

申请号：US17422296

申请日：2019-01-18

Applicant: NEC Corporation

Inventor： Muneaki ONOZATO ,  Satoshi TERASAWA ,  Yusuke KONISHI ,  Kenta ISHIHARA

IPC: G06K9/00

Abstract: An information processing device according to the present invention includes a person extraction means that extracts a person in a captured image, an action extraction means that extracts an action of a person group including a plurality of persons other than a given person in the captured image, and an identification means that identifies a given person group based on a result of extraction of the action of the person group.

公开(公告)号：US20240119620A1

公开(公告)日：2024-04-11

申请号：US18273431

申请日：2021-06-03

Applicant: NEC Corporation

Inventor： Kenta ISHIHARA

IPC: G06T7/70 ,  A61B5/00 ,  A61B5/11 ,  G06T7/50 ,  G06V10/762 ,  G06V40/10

CPC classification number: G06T7/70 ,  A61B5/0077 ,  A61B5/1116 ,  A61B5/1128 ,  G06T7/50 ,  G06V10/762 ,  G06V40/10 ,  A61B2576/00 ,  G06T2207/30196 ,  G06T2207/30232

Abstract: A posture estimation apparatus includes: a position calculation unit that calculates, for each joint of each of persons detected from image data, a provisional reference position of the person, based on a position of the joint and a displacement from the joint to a site serving as a reference for the person; and a posture estimation unit that determines a person to which the joint belongs based on the provisional reference position calculated for each joint detected.

公开(公告)号：US20230316701A1

公开(公告)日：2023-10-05

申请号：US18020373

申请日：2020-08-19

Applicant: NEC Corporation

Inventor： Kenta ISHIHARA ,  Shoji NISHIMURA

IPC: G06V10/44 ,  G06T7/20 ,  G06T7/70 ,  G06V10/74 ,  G06V10/762

CPC classification number: G06V10/44 ,  G06T7/20 ,  G06T7/70 ,  G06V10/761 ,  G06V10/762 ,  G06T2207/30242

Abstract: A reference state deciding device (10) according to the present disclosure includes a feature calculation unit (11) that calculates an object feature related to a target object of state determination included in a real space and an imaged space feature related to the real space on the basis of past image data of the real space imaged in the past and target image data of the real space imaged at the time of the state determination, and a reference state deciding unit (12) that decides a reference state to be used for the state determination on the basis of a relation between the object feature and the imaged space feature calculated from the past image data and the target image data.

公开(公告)号：US20240404281A1

公开(公告)日：2024-12-05

申请号：US18673387

申请日：2024-05-24

Applicant: NEC Corporation

Inventor： Kenta ISHIHARA

IPC: G06V20/40

Abstract: An abnormality analysis apparatus detects, from a first video frame sequence, a second video frame sequence indicating a cycle being a set of a predetermined plurality of actions. The abnormality analysis apparatus determines an action time of each action indicated by the second video frame sequence. The abnormality analysis apparatus analyzes an abnormality of an action indicated by the second video frame sequence, based on order of actions indicated by the second video frame sequence and an action time of each action.

公开(公告)号：US20230298445A1

公开(公告)日：2023-09-21

申请号：US18010158

申请日：2020-06-24

Applicant: NEC Corporation

Inventor： Jianquan LIU ,  Kenta ISHIHARA

IPC: G08B13/196

CPC classification number: G08B13/19613 ,  G08B13/19604

Abstract: The present invention provides a learning apparatus (10) including: an acquisition unit (11) that acquires an image; a similarity computation unit (12) that computes a similarity between the acquired image, and a first image being accumulated in advance and indicating an abnormal state; a registration unit (13) that registers, as a second image indicating a normal state, the acquired image whose similarity is equal to or less than a first reference value; and a learning unit (14) that generates an estimation model for discriminating between normal and abnormal by machine learning using the first image and the second image.