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11.发明申请公开(公告)号：US20210019906A1
公开(公告)日：2021-01-21
申请号：US16515867
申请日：2019-07-18
Applicant: Hitachi, Ltd.
Inventor： Yuki WATANABE , Ravigopal VENNELAKANTI , Manish GUPTA , Nam HUYN , Akira MAEKI , Chandrasekar VENKATRAMAN
Abstract: Example implementations described herein are directed to the projection of two dimensional (2D) image recognition results to three dimensional (3D) space by using 3D reconstructed data to realize accurate object counting, identification, scene re-organization, and so on in accordance with the desired implementation. Through the example implementations described herein, more accurate objection detection can be provided than regular 2D object detection.
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12.发明申请公开(公告)号：US20200311575A1
公开(公告)日：2020-10-01
申请号：US16754408
申请日：2018-08-09
Applicant: Hitachi, Ltd.
Inventor： Quan KONG , Yuki WATANABE , Naoto AKIRA , Tomokazu MURAKAMI
Abstract: The online recognition apparatus includes a feature amount extraction unit that extracts a feature amount of input data, an identification result prediction unit that predicts an identification result based on the extracted feature amount, a prediction result evaluation unit that determines necessity of labeling from the predicted identification result unit, a correct answer assigning unit that assigns a correct answer to input data online from the determination result, a generator update unit that updates a parameter of a generator based on the input data with the correct answer, a pseudo-learning data generation unit that establishes a generator based on the parameter of the updated generator and generates pseudo-learning data, and an identifier update unit that online updates a parameter of an identifier prepared in advance based on the input data with the correct answer and the pseudo-learning data. The updated identifier is updated as a new identification result prediction unit.
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公开(公告)号：US20190251471A1
公开(公告)日：2019-08-15
申请号：US16308328
申请日：2016-11-01
Applicant: HITACHI, LTD.
Inventor： Kenichi MORITA , Yuki WATANABE , Atsushi HIROIKE , Yoshitaka MURATA , Tsutomu IMADA
IPC: G06N20/00 , G06F16/55 , G06F16/583
CPC classification number: G06N20/00 , G06F16/55 , G06F16/583 , G06T7/00
Abstract: An object is to provide a machine learning device that can reliably and promptly improve image classification accuracy. A machine learning device of the present invention includes: an image database that stores a plurality of images and image features of these images; and a processor that is connected to this image database and that performs machine learning using the plurality of images and the image features stored in the image database, and the processor preferentially selects a predetermined number of images that are images other than images used in past machine learning and that have the low similarities to the images used in the past machine learning, as images used for machine learning from among the images stored in the image database, and performs new machine learning using the selected images.
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14.发明申请公开(公告)号：US20190147292A1
公开(公告)日：2019-05-16
申请号：US16171710
申请日：2018-10-26
Applicant: Hitachi, Ltd.
Inventor： Yuki WATANABE , Kenichi MORITA , Tomokazu MURAKAMI , Atsushi HIROIKE , Quan KONG
Abstract: An image retrieving apparatus includes a pose estimating unit which recognizes pose information of a retrieval target including a plurality of feature points from an input image, a features extracting unit which extracts features from the pose information and the input image, an image database which accumulates the features in association with the input image, a query generating unit which generates a retrieval query from pose information specified by a user, and an image retrieving unit which retrieves images including similar poses according to the retrieval query from the image database.
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