GROUP SPECIFICATION APPARATUS, GROUP SPECIFICATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20230377188A1

    公开(公告)日:2023-11-23

    申请号:US18030909

    申请日:2020-10-14

    Inventor: Hiroo IKEDA

    Abstract: A group specification apparatus includes: a first group candidate setting unit that selects a person from among persons within a first shot image and sets a first group candidate, based on a spatial condition and a state condition with reference to the selected person; a second group candidate setting unit that selects a person from persons within a second shot image having a different shooting time from the first shot image, using an attribute of the person selected and sets a second group candidate, based on the spatial condition and the state condition; a similarity calculating unit that compares first attribute configuration information about the first group candidate with second attribute configuration information about the second group candidate, and calculates a similarity between the group candidates; and a group specifying unit that specifies the persons constituting the first group candidate as one group according to the similarity.

    SYSTEM AND METHOD FOR MACHINE LEARNING (ML)-BASED IOT DEVICE PROVISIONING

    公开(公告)号:US20230377186A1

    公开(公告)日:2023-11-23

    申请号:US17748541

    申请日:2022-05-19

    Applicant: AFERO, INC.

    Inventor: JOE BRITT

    Abstract: A system and method are described for identifying an IoT device using object recognition techniques. For example, one embodiment of a system comprises: an Internet of Things (IoT) service to provide back-end data processing for a plurality of IoT devices, the IoT service comprising: interface logic to couple the IoT service to an IoT app executed on a mobile device of a user, an IoT device recognition engine coupled to the interface logic, the IoT device recognition engine to identify a model of a new IoT device captured in an image by the IoT app, the IoT device recognition engine to transmit an indication of the IoT device model to the interface logic, wherein the IoT app is to use the indication of the IoT device model during setup of the new IoT device.

    METHOD FOR MOTION DETECTION AND CIRCUIT SYSTEM
    165.
    发明公开

    公开(公告)号:US20230377170A1

    公开(公告)日:2023-11-23

    申请号:US18319497

    申请日:2023-05-18

    Abstract: A method for motion detection and a circuit system are provided. In the method, when any moving object within a scene is sensed, continuous frame images are obtained. Each of the frame images is divided into multiple regions. Brightness and chromaticity of each region are calculated frame by frame, and are compared with a background model to obtain a difference. Accordingly, a movement event in each of the frame images can be identified. When any movement event is recognized, a region of interest (ROI) covering one or more of the regions where the movement event is detected is established. An intelligent model created by a neural network algorithm is used to calculate a trust score for a possibility of having the moving object in each of the frame images. The moving object can be detected by comparing the trust score with a determination threshold.

    AUTOMATIC DE-IDENTIFICATION OF OPERATING ROOM (OR) VIDEOS BASED ON DEPTH IMAGES

    公开(公告)号:US20230368495A1

    公开(公告)日:2023-11-16

    申请号:US17741929

    申请日:2022-05-11

    Abstract: Embodiments described herein provide systems and techniques for tracking and deidentifying person in a captured operating room (OR) video. In one aspect, a process for deidentifying OR personnel in an OR video begins by simultaneously receiving a color image captured by an RGB camera and a depth image captured by a depth camera installed in the vicinity of the RGB camera. The process then generates a 3D point cloud based on the depth image. Next, the process applies a human-body detector to the 3D point cloud to detect a set of 3D bodies in the 3D point cloud, wherein each detected 3D body corresponds to a detected person in the OR. The process next projects each detected 3D body into a 2D body outline in the color image to represent the same detected person in the color image. The process subsequently de-identifies the detected people in the color image based on the projected 2D body outlines.

    ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20230364465A1

    公开(公告)日:2023-11-16

    申请号:US18328252

    申请日:2023-06-02

    Abstract: An electronic apparatus is disclosed. The electronic apparatus includes: a memory including at least one instruction, a processor coupled with the memory and configured to control the electronic apparatus, and the processor is configured, by executing the at least one instruction, to: obtain a moving image, identify a person and pose data of the person from a plurality of frames in the moving image, obtain exercise pattern information corresponding to the plurality of frames using pose data of the identified person, recognize an exercise motion of the identified person by inputting at least one frame of the moving image into at least one neural network model, and obtain exercise feature information corresponding to the recognized exercise motion, identify, based on the exercise feature information and the exercise pattern information, a first frame interval and a second frame interval different from the first frame interval from among the plurality of frames in the moving image, and provide information on an exercise motion corresponding to the second frame interval by comparing the first frame interval with the second frame interval.

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