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公开(公告)号：US20230075457A1
公开(公告)日：2023-03-09
申请号：US17796329
申请日：2020-02-14
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI , Takashi Takenaka
Abstract: The information processing circuit 80 includes a first information processing circuit 81 that performs layer operations in deep learning, a second information processing circuit 82 that performs the layer operations in deep learning on input data by means of a programmable accelerator, and an integration circuit 83 integrates a calculation result of the first information processing circuit 81 with a calculation result of the second information processing circuit 82, and output an integration result, wherein the first information processing circuit 81 includes a parameter value output circuit 811 in which parameters of deep learning are circuited, and a sum-of-product circuit 812 that performs a sum-of-product operation using the input data and the parameters.
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公开(公告)号：US20200065982A1
公开(公告)日：2020-02-27
申请号：US16444531
申请日：2019-06-18
Applicant: NEC CORPORATION
Inventor： Ryoma OAMI , Katsuhiko TAKAHASHI , Yusuke KONISHI , Hiroshi YAMADA , Hiroo IKEDA , Junko NAKAGAWA , Kosuke YOSHIMI , Ryo KAWAI , Takuya OGAWA
Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
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公开(公告)号：US20190333234A1
公开(公告)日：2019-10-31
申请号：US16444417
申请日：2019-06-18
Applicant: NEC CORPORATION
Inventor： Ryoma OAMI , Katsuhiko TAKAHASHI , Yusuke KONISHI , Hiroshi YAMADA , Hiroo IKEDA , Junko NAKAGAWA , Kosuke YOSHIMI , Ryo KAWAI , Takuya OGAWA
Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
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公开(公告)号：US20190325589A1
公开(公告)日：2019-10-24
申请号：US16444642
申请日：2019-06-18
Applicant: NEC CORPORATION
Inventor： Ryoma OAMI , Katsuhiko TAKAHASHI , Yusuke KONISHI , Hiroshi YAMADA , Hiroo IKEDA , Junko NAKAGAWA , Kosuke YOSHIMI , Ryo KAWAI , Takuya OGAWA
Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
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公开(公告)号：US20190206244A1
公开(公告)日：2019-07-04
申请号：US16307561
申请日：2017-06-12
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI
Abstract: The purpose of the present invention is to provide a technology for improving the efficiency of road traffic flow. The traffic light control device includes: a control information generation unit which, on the basis of planned traveling route information which indicates a planned traveling route found on the basis of the current location of a vehicle and the destination of the vehicle, generates control information to be used for performing on/off control of traffic lights disposed on the planned traveling route; and a transmission unit for transmitting the control information to the traffic lights to be controlled.
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Patent Agency Ranking
公开(公告)号：US20190035093A1
公开(公告)日：2019-01-31
申请号：US16085851
申请日：2017-01-26
Applicant: NEC Corporation
Inventor： Ryoma OAMI , Katsuhiko TAKAHASHI , Yusuke KONISHI , Hiroshi YAMADA , Hiroo IKEDA , Junko NAKAGAWA , Kosuke YOSHIMI , Ryo KAWAI , Takuya OGAWA
Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
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公开(公告)号：US20250069500A1
公开(公告)日：2025-02-27
申请号：US18939633
申请日：2024-11-07
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI
IPC: G08G1/015 , A42B3/04 , G06F18/22 , G06F18/24 , G06T7/20 , G06V10/44 , G06V20/59 , G06V40/10 , G06V40/20 , G08G1/04
Abstract: The present invention is directed to a helmet wearing determination system including a imaging means that is installed in a predetermined position and images a two-wheel vehicle that travels on a road; and a helmet wearing determination means that processes an image imaged by the imaging means, estimates a rider head region corresponding to a head of a person who rides on the two-wheel vehicle that travels on the road, compares image characteristics of the rider head region with image characteristics according to the head at a time when a helmet is worn or/and at a time when a helmet is not worn, and determines whether or not the rider wears the helmet.
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8.发明申请公开(公告)号：US20220292397A1
公开(公告)日：2022-09-15
申请号：US17633402
申请日：2019-08-21
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI , Tetsuo INOSHITA , Asuka ISHII , Gaku NAKANO
IPC: G06N20/00
Abstract: The server device receives a model information from a plurality of terminal devices, and generates an integrated model by integrating the model information received from the plurality of terminal devices. The server device generates an updated model by learning a model defined by the model information received from the terminal device of update-target using the integrated model. Then, the server device transmits the model information of the updated model to the terminal device. Thereafter, the terminal device executes recognition processing using updated model.
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公开(公告)号：US20210232835A1
公开(公告)日：2021-07-29
申请号：US17226316
申请日：2021-04-09
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI
Abstract: The present invention is directed to a helmet wearing determination system including a imaging means that is installed in a predetermined position and images a two-wheel vehicle that travels on a road; and a helmet wearing determination means that processes an image imaged by the imaging means, estimates a rider head region corresponding to a head of a person who rides on the two-wheel vehicle that travels on the road, compares image characteristics of the rider head region with image characteristics according to the head at a time when a helmet is worn or/and at a time when a helmet is not worn, and determines whether or not the rider wears the helmet.
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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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