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    Locally and globally locating actors by digital cameras and machine learning
    2.
    发明授权
    Locally and globally locating actors by digital cameras and machine learning 有权

    公开(公告)号：US11443516B1

    公开(公告)日：2022-09-13

    申请号：US16841289

    申请日：2020-04-06

    Applicant: Amazon Technologies, Inc.

    Inventor： Samuel Nathan Hallman ,  Tian Lan ,  Hui Liang ,  Gerard Guy Medioni ,  Kostia Robert

    IPC: G06V20/52 ,  G06N20/00 ,  G06V20/10

    Abstract: Motion of actors within a scene may be detected based on imaging data, using machine learning tools operating on cameras that captured the imaging data. The machine learning tools process images to perform a number of tasks, including detecting heads of actors, and sets of pixels corresponding to the actors, before constructing line segments from the heads of the actors to floor surfaces on which the actors stand or walk. The line segments are aligned along lines extending from locations of heads within an image to a vanishing point of a camera that captured the image. Trajectories of actors and visual data are transferred from the cameras to a central server, which links trajectories captured by multiple cameras and locates detected actors throughout the scene, even when the actors are not detected within a field of view of at least one camera.

    Re-identification of agents using image analysis and machine learning
    3.
    发明授权
    Re-identification of agents using image analysis and machine learning 有权

    公开(公告)号：US11386306B1

    公开(公告)日：2022-07-12

    申请号：US16219870

    申请日：2018-12-13

    Applicant: Amazon Technologies, Inc.

    Inventor： Behjat Siddiquie ,  Tian Lan ,  Jayakrishnan Eledath ,  Hoi Cheung Pang

    IPC: G06K9/62 ,  G06N20/00 ,  G06K9/00 ,  G06V40/10

    Abstract: As agents move about a materials handling facility, tracklets representative of the position of each agent are maintained along with a confidence score indicating a confidence that the position of the agent is known. If the confidence score falls below a threshold level, image data of the agent associated with the low confidence score is obtained and processed to generate one or more embedding vectors representative of the agent at a current position. Those embedding vectors are then compared with embedding vectors of other candidate agents to determine a set of embedding vectors having a highest similarity. The candidate agent represented by the set of embedding vectors having the highest similarity score is determined to be the agent and the position of that candidate agent is updated to the current position, thereby re-identifying the agent.

    Detecting and locating actors in scenes based on degraded or supersaturated depth data
    5.
    发明授权
    Detecting and locating actors in scenes based on degraded or supersaturated depth data 有权

    公开(公告)号：US10915783B1

    公开(公告)日：2021-02-09

    申请号：US16220461

    申请日：2018-12-14

    Applicant: Amazon Technologies, Inc.

    Inventor： Samuel Nathan Hallman ,  Petko Tsonev ,  Michael Francis O'Malley ,  Jayakrishnan Eledath ,  Jue Wang ,  Tian Lan

    IPC: G06K9/62 ,  G06K9/00 ,  G06N3/08 ,  G06T5/50

    Abstract: An imaging device may capture images of a scene, where the scene includes retroreflective materials. Where visual images and depth images are captured from a scene, and the depth images have ratios of supersaturated pixels that are less than a predetermined threshold, a location map of the scene is generated or updated based on the depth images. Where the ratios are greater than the predetermined threshold, the location map of the scene is generated or updated based on the visual images. Additionally, where each of a plurality of imaging devices detect concentrations of supersaturated pixels beyond a predetermined threshold or limit within their respective fields of view, an actor present on the scene may be determined to be wearing retroreflective material, or otherwise designated as a source of the supersaturation, and tracked with the scene based on coverage areas that are determined to have excessive ratios of supersaturated pixels.

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