Camera detection of human activity with co-occurrence

    公开(公告)号:US11580833B2

    公开(公告)日:2023-02-14

    申请号:US17202528

    申请日:2021-03-16

    IPC分类号: G08B13/196 H04N7/18 H04N5/232

    摘要: Methods, systems, and apparatus for camera detection of human activity with co-occurrence are disclosed. A method includes detecting a person in an image captured by a camera; in response to detecting the person in the image, determining optical flow in portions of a first set of images; determining that particular portions of the first set of images satisfy optical flow criteria; in response to determining that the particular portions of the first set of images satisfy optical flow criteria, classifying the particular portions of the first set of images as indicative of human activity; receiving a second set of images captured by the camera after the first set of images; and determining that the second set of images likely shows human activity based on analyzing portions of the second set of images that correspond to the particular portions of the first set of images classified as indicative of human activity.

    TARGET ASSOCIATION USING OCCLUSION ANALYSIS, CLUSTERING, OR BOTH

    公开(公告)号:US20210407107A1

    公开(公告)日:2021-12-30

    申请号:US17348047

    申请日:2021-06-15

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking moving objects depicted in multiple images. One of the methods includes determining, for an image captured by a camera, a first bounding box that represents a first moving object depicted in the image, determining that the first bounding box and a second bounding box overlap in an overlap area, determining that the first moving object represented by the first bounding box was farther from the camera that captured the image than a second moving object represented by the second bounding box, generating a mask for the first bounding box based on the overlap area, and determining, using data from the image that is associated with the mask, that the first moving object matches an appearance of another moving object depicted in another image captured by the camera.

    Using satellite imagery to enhance a 3D surface model of a real world cityscape

    公开(公告)号:US11210806B1

    公开(公告)日:2021-12-28

    申请号:US16546393

    申请日:2019-08-21

    IPC分类号: G06T7/60 G06T15/04

    摘要: Methods and apparatus are disclosed for enhancing urban surface model with image data obtained from a satellite image. Three dimensional models of an urban cityscape obtained from digital surface models may comprise surface location information but lack image information associated with the cityscape, such as the color and texture of building facades. The location of the satellite at the time of recording the satellite image interest may be obtained from metadata associated with the satellite image. A 3D model of a cityscape corresponding to the satellite image may be subjected to a transformation operation to determine portions of the 3D model that are viewable from a location corresponding to the location of the satellite when taking the picture. Visible facades buildings of the 3D model ma be identified and mapped to portions of the satellite image which may then be used in rendering 2D images from the 3D model. In some examples a satellite image projection model may be adjusted to more accurately determine geolocations of portions of the satellite image by analysis of a plurality of satellite images.

    People selection for training set

    公开(公告)号:US11200454B1

    公开(公告)日:2021-12-14

    申请号:US16655719

    申请日:2019-10-17

    IPC分类号: G06K9/62 G06N20/00 G06K9/00

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting people for a training set. The methods, systems, and apparatus include actions of: obtaining an image of a user, obtaining an initial training set that includes the image of the user as a positive example and images of a subset of a set of other people as negative examples, training an initial classifier with the images of the initial training set, determining false positive classifications by the initial classifier, selecting people in the set of other people based on the false positive classifications, obtaining an updated training set that includes an image of the user, images of the subset of the set of other people, and images of the people that are selected, and generating an updated classifier with the updated training set.

    ADVERSARIAL MASKS FOR FALSE DETECTION REMOVAL

    公开(公告)号:US20210365739A1

    公开(公告)日:2021-11-25

    申请号:US17319426

    申请日:2021-05-13

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for false detection removal using adversarial masks. The method includes performing object detection on a first image that includes a first region using a detection model determining the detection model incorrectly classified the first region of the first image; generating an adversarial mask based on the first region of the first image and the detection model; obtaining a second image that includes the first region; generating a masked image based on the second image and the adversarial mask; and performing object detection on the masked image including the first region using the detection model.

    Distributed media monitoring
    7.
    发明授权

    公开(公告)号:US11178363B1

    公开(公告)日:2021-11-16

    申请号:US16913604

    申请日:2020-06-26

    IPC分类号: H04N7/18 G08B13/196 G06K9/00

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating distributed jobs for cameras in a monitored property. The methods, systems, and apparatus include actions of obtaining a request to process a video based on an event detected by a first camera at a monitored property, determining resources likely to be available corresponding to the other cameras at the monitored property, allocating one or more tasks corresponding to processing the video to the other cameras based on the resources likely to be available corresponding to the other cameras, and providing the one or more allocated tasks to the first camera and to the other cameras.

    Training image classifiers
    8.
    发明授权

    公开(公告)号:US12014271B2

    公开(公告)日:2024-06-18

    申请号:US18108282

    申请日:2023-02-10

    摘要: Methods, systems, an apparatus, including computer programs encoded on a storage device, for training an image classifier. A method includes receiving an image that includes a depiction of an object; generating a set of poorly localized bounding boxes; and generating a set of accurately localized bounding boxes. The method includes training, at a first learning rate and using the poorly localized bounding boxes, an object classifier to classify the object; and training, at a second learning rate that is lower than the first learning rate, and using the accurately localized bounding boxes, the object classifier to classify the object. The method includes receiving a second image that includes a depiction of an object; and providing, to the trained object classifier, the second image. The method includes receiving an indication that the object classifier classified the object in the second image; and performing one or more actions.