Vision system for classifying persons based on visual appearance and dwell locations

    公开(公告)号:US12211280B2

    公开(公告)日:2025-01-28

    申请号:US17688379

    申请日:2022-03-07

    Abstract: Example implementations include a method, apparatus and computer-readable medium of computer vision configured for person classification, comprising receiving, during a first period of time, a plurality of image frames of an environment, identifying images of persons from each frame of the plurality of image frames, and determining a respective vector representation of each of the images. The implementations include generating a probability distribution indicative of a likelihood of a particular vector representation appearing in the plurality of image frames and identifying an associate vector representation by sampling the probability distribution using a probability model. The implementations include determining an input vector representation of an input image identified in an image frame depicting a person and received during a second period of time. The implementations include comparing the input vector representation with the associate vector representation and classifying, based on the comparison, the person in the input image as an associate.

    PERSON TRACKING SYSTEM, PERSON TRACKING METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20250029265A1

    公开(公告)日:2025-01-23

    申请号:US18715787

    申请日:2021-12-08

    Abstract: In a person tracking system, a calculation processing means performs processing for detecting a first person from an image, and calculates a first feature vector representing a feature of the detected first person. A data transmission processing means acquires a hash value corresponding to a key generated based on information relating to the first feature vector, and stores feature data including the first feature vector and the key in a storage area of an external device determined based on the acquired hash value. A determination processing means determines whether or not the first person represented by the first feature vector included in the feature data read from the external device and a second person registered in advance are the same person. A tracking processing means tracks the first person as a tracking target, when it is determined that the first person and the second person are the same person.

    FINGERSPELLING TEXT ENTRY
    25.
    发明申请

    公开(公告)号:US20250028397A1

    公开(公告)日:2025-01-23

    申请号:US18907989

    申请日:2024-10-07

    Applicant: Snap Inc.

    Abstract: A text entry process for an Augmented Reality (AR) system. The AR system detects, using one or more cameras of the AR system, a start text entry gesture made by a user of the AR system. During text entry, the AR system detects, using the one or more cameras, a symbol corresponding to a fingerspelling sign made by the user. The AR system generates entered text data based on the symbol and provides text in a text scene component of an AR overlay provided by the AR system to the user based on the entered text data.

    Method of human pose estimation
    26.
    发明授权

    公开(公告)号:US12205397B2

    公开(公告)日:2025-01-21

    申请号:US17463166

    申请日:2021-08-31

    Abstract: A method of human pose estimation, including, receiving an image frame, extracting in at least a first stage a first stage image feature based on the image frame, extracting in at least a second stage a second stage image feature based on the first stage image feature, extracting in at least a subsequent stage a subsequent stage image feature based on the second stage image feature, up-sampling the subsequent stage image feature, up-sampling the second stage image feature, concatenating the first stage image feature, the up-sampled second stage image feature and the up-sampled subsequent stage image feature and outputting a feature map based on an output of the concatenation.

    SYSTEMS AND METHODS FOR AUTONOMOUS HORN ACTIVATION AND KIDNAPPING DETECTION

    公开(公告)号:US20250022318A1

    公开(公告)日:2025-01-16

    申请号:US18221814

    申请日:2023-07-13

    Abstract: An autonomous vehicle can include a horn; a sensor(s) configured to capture images; and one or more processors. The one or more processors can be configured to receive a sequence of images from the sensor(s), the sequence of images captured by the sensor(s) as the autonomous vehicle was moving; execute a machine learning model using the sequence of images as input to detect a human inside a second vehicle or in the surrounding environment of the autonomous vehicle depicted within the sequence of images; determine, based on the detection of the human inside the second vehicle or in the surrounding environment of the autonomous vehicle within the sequence of images, the human is depicted performing a defined arm gesture within the sequence of images; and activate the horn responsive to the determination that the human is depicted performing the defined arm gesture within the sequence of images.

    POSE CALCULATING APPARATUS AND METHOD

    公开(公告)号:US20250022156A1

    公开(公告)日:2025-01-16

    申请号:US18349947

    申请日:2023-07-10

    Abstract: A pose calculating apparatus and method are provided. The pose calculating apparatus receives a plurality of real-time images and a plurality of inertial measurement parameters corresponding to at least one inertial sensor worn by a user. The pose calculating apparatus determines a pose calculating mode corresponding to each of a plurality of body regions of the user based on the real-time images and the inertial measurement parameters, wherein the pose calculating mode corresponds to a static mode or a motion mode. The pose calculating apparatus calculates a pose corresponding to each of the body regions based on the pose calculating mode corresponding to each of the body regions.

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