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    ACTIVITY DETECTION USING VIDEO ANALYSIS
    2.
    发明公开
    ACTIVITY DETECTION USING VIDEO ANALYSIS 审中-公开

    公开(公告)号：EP4270328A1

    公开(公告)日：2023-11-01

    申请号：EP23169798.8

    申请日：2023-04-25

    申请人： Nokia Solutions and Networks Oy

    发明人： O'GORMAN, Lawrence

    IPC分类号： G06V10/30 ,  G06T7/20 ,  G06V20/40 ,  G06V10/52

    摘要： According to an example aspect of the present disclosure, there is provided an apparatus comprising means for applying a stationary motion noise high-pass filter to at least one chronological frame-rate stream of motion vectors, to generate a high-pass filtered stream of motion vectors, wherein the stationary motion noise high-pass filter is configured to filter out low frequency stationary motion noise that occurs in-place and in a sequence of frames for a duration of time that is larger than activity of interest, means for applying a short-term low-pass filter to the high-pass filtered stream of motion vectors to generate a low-pass and high-pass filtered stream of motion vectors, wherein the short-term low-pass filter is configured to retain short-term activity in-place, means for applying a band-pass filter to the low-pass and high-pass filtered stream of motion vectors to generate a band-pass filtered stream of motion vectors, wherein the band-pass filter is configured to distinguish short-term moving activity and means for detecting whether at least one event is present based on the low-pass and high-pass filtered stream of motion vectors and the band-pass filtered stream of motion vectors.

    SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE INFERENCE PLATFORM AND SENSOR CORRELATION
    6.
    发明公开
    SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE INFERENCE PLATFORM AND SENSOR CORRELATION 审中-公开

    公开(公告)号：EP4290471A1

    公开(公告)日：2023-12-13

    申请号：EP23177397.9

    申请日：2023-06-05

    申请人： Palantir Technologies Inc.

    发明人： CROSS, Jonathan ,  CHEN, Qinfeng ,  IMIG, Robert

    IPC分类号： G06V10/52

    摘要： Systems and methods for performing sensor correlation by a plurality of edge devices are disclosed. For example, a method includes: receiving a first set of edge data from a first edge device of the plurality of edge devices; receiving a second set of edge data from a second edge device of the plurality of edge devices, the second edge device being different from the first edge device; analyzing the first set of edge data using one or more computing models to determine a first object detected in the first set of edge data; analyzing the second set of edge data using the one or more computing models to determine a second object detected in the second set of edge data; and determining whether the first object and the second object are a same object based upon one or more object parameters.

    METHOD AND SYSTEM FOR FACILITATING PLANOGRAM COMPLIANCE FOR INVENTORY MANAGEMENT
    7.
    发明公开
    METHOD AND SYSTEM FOR FACILITATING PLANOGRAM COMPLIANCE FOR INVENTORY MANAGEMENT 审中-公开

    公开(公告)号：EP4293592A1

    公开(公告)日：2023-12-20

    申请号：EP23179090.8

    申请日：2023-06-14

    申请人： Tata Consultancy Services Limited

    发明人： MUKHERJEE, JAYANTA ,  DAS, RAHUL ,  PATI, BISWANATH ,  SELVARAJ, ARAVIND

    IPC分类号： G06Q10/087 ,  G06F18/243 ,  G06V10/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/82

    摘要： Planograms are used to create consistency between store locations, to provide proper shelf space allocation, to improve visual merchandising appeal, and to create product-pairing suggestions. Existing solutions do not have a way to accurately estimate the scale of magnification of the object in the shelf image, so unable to distinguish between size variants of the same product. A system and method for facilitating planogram compliance for inventory management in a retail store have been provided. The scales are calculated with use of a vector convergence technique followed by a center clustering which automatically removes outliers. Initially disclosure comprises calculation of scales and centers, then generation of region proposals using those scales and centers, Next, classification of the regions proposed and generation of similarity scores, and on the basis of similarity scores conflict resolution is performed among overlapped region proposals using non-maximal suppression.

    IMAGE CLEANUP ON A MOBILE DEVICE
    8.
    发明公开
    IMAGE CLEANUP ON A MOBILE DEVICE 审中-公开

    公开(公告)号：EP4224422A3

    公开(公告)日：2023-09-06

    申请号：EP23166626.4

    申请日：2021-09-21

    申请人： EBay

    发明人： WANG, Qiaosong

    IPC分类号： G06T7/194 ,  G06V10/26 ,  G06V10/52

    摘要： Methods, systems, and articles of manufacture, including computer program products, are provided for image cleanup. In some embodiments, there is provide a method which may include subsampling a first image to a first level image of a multiscale transform; performing, based on a machine learning model, an identification of a foreground portion of the first level image and a background portion of the first level image; generating, based on the identification of the foreground portion and the background portion, a first mask; upscaling the first mask to a resolution corresponding to the first image depicting the foreground item; applying the upscaled first mask to the first image to form a second image depicting the foreground item; and providing the second image depicting the foreground item to a publication system. Related systems and articles of manufacture, including computer program products, are also provided.

    IMAGE ANALYSIS METHOD SUPPORTING ILLNESS DEVELOPMENT PREDICTION FOR A NEOPLASM IN A HUMAN OR ANIMAL BODY
    9.
    发明公开
    IMAGE ANALYSIS METHOD SUPPORTING ILLNESS DEVELOPMENT PREDICTION FOR A NEOPLASM IN A HUMAN OR ANIMAL BODY 审中-公开

    公开(公告)号：EP3996039A1

    公开(公告)日：2022-05-11

    申请号：EP21207899.2

    申请日：2014-10-17

    申请人： Stichting Maastricht Radiation Oncology "Maastro-Clinic"

    发明人： LAMBIN, Philippe ,  BOTELHO DE CARVALHO, Sara João ,  LEIJENAAR, Ralph Theodoor Hubertina

    IPC分类号： G06T7/00 ,  G06K9/00 ,  G06K9/62 ,  G06V10/52 ,  G06V10/54

    摘要： The present invention relates to an image analysis method for providing information for supporting illness development prediction regarding a neoplasm in a human or animal body. The method includes receiving for the neoplasm first and second image data at a first and second moment in time, and deriving for a plurality of image features a first and a second image feature parameter value from the first and second image data. These feature parameter values being a quantitative representation of a respective image feature. Further, calculating an image feature difference value by calculating a difference between the first and second image feature parameter value, and based on a prediction model deriving a predictive value associated with the neoplasm for supporting treatment thereof. The prediction model includes a plurality of multiplier values associated with image features. For calculating the predictive value the method includes multiplying each image feature difference value with its associated multiplier value and combining the multiplied image feature difference values.