ACTIVITY DETECTION DEVICE, ACTIVITY DETECTION SYSTEM, AND ACTIVITY DETECTION METHOD

    公开(公告)号:US20220012502A1

    公开(公告)日:2022-01-13

    申请号:US17346336

    申请日:2021-06-14

    Applicant: Hitachi, Ltd.

    Abstract: An object of the disclosure is to provide flexible and highly accurate activity detection means. Provided is an activity detection device including: an input unit that inputs an image sequence including a first image and a second image; an object detection unit that detects a first object in the image sequence; a component model unit that generates first characteristic information characterizing the first object and includes at least one individually trainable component model; and an activity detection unit that generates a first object state corresponding to the first object in the first image and a second object state corresponding to the first object in the second image based on the first characteristic information and determines an activity related to the first object based on the first and second object states.

    VIDEO ANALYSIS SYSTEM AND VIDEO ANALYSIS METHOD

    公开(公告)号:US20210287503A1

    公开(公告)日:2021-09-16

    申请号:US17143638

    申请日:2021-01-07

    Applicant: HITACHI, LTD.

    Abstract: An object of the present invention is to provide a video analysis system and a video analysis method in which ownership between a person and baggage can be comprehensively determined. In a system that analyzes videos photographed by plural cameras, a detection/tracking process is performed for first and second objects using videos of plural cameras, and a relationship degree between the first and second objects is determined on the basis of the types of the first and second objects and a distance between the objects to be stored in a database.

    ONLINE RECOGNITION APPARATUS, ONLINE RECOGNITION METHOD, AND SETTING SCREEN USED THEREFOR

    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.

    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.

    VIDEO PROCESSING APPARATUS AND VIDEO PROCESSING METHOD

    公开(公告)号:US20210357629A1

    公开(公告)日:2021-11-18

    申请号:US17318709

    申请日:2021-05-12

    Applicant: HITACHI, LTD.

    Abstract: A video processing apparatus that processes a video of a moving body captured by a camera is configured to sample frames output from the camera at a predetermined rate, calculate a direction of motion of the moving body based on a sequence of a plurality of the frames, and extract a feature amount of the video by performing convolution processing together on the plurality of the frames based on the calculated direction.

    VIDEO SURVEILLANCE SYSTEM AND VIDEO SURVEILLANCE METHOD

    公开(公告)号:US20210256823A1

    公开(公告)日:2021-08-19

    申请号:US17020893

    申请日:2020-09-15

    Applicant: Hitachi, Ltd.

    Abstract: An efficient alert process is realized and effectiveness of surveillance is improved when surveilling various incidents that occur within a surveillance area. In a video surveillance system for detecting a plurality of incidents in a surveillance area using a video that captured the surveillance area, provided are a calculation unit which detects an image of a person and/or an object from the video, and calculates an incident feature quantity as a feature quantity representing a status of a detected person and/or a feature quantity of a detected object, and a determination unit which detects an occurrence of the incident based on the incident feature quantity, and determines subjects to be alerted of an occurred incident, which is a detected incident, from a type of the occurred incident and a determination accuracy of the occurred incident.

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