METHOD FOR CLASSIFYING A CAPTURE TAKEN BY A SENSOR

    公开(公告)号:US20200226432A1

    公开(公告)日:2020-07-16

    申请号:US16735978

    申请日:2020-01-07

    Abstract: A method for classifying a capture taken by a sensor includes receiving a sequence of a plurality of captures taken by a sensor, each of the captures comprising a plurality of elements; generating, per capture, a plurality of raw probability values, each of the raw probability values being linked to a respective one of a plurality of predetermined classes and indicating the probability that the capture or an element of the capture is associated with the respective class; determining, for a respective one of the captures, a plurality of consolidated probability values in dependence of a plurality of base probability values and a plurality of context probability values, wherein the base probability values represent the raw probability values of the respective capture and the context probability values represent the raw probability values of at least one further capture of the sequence other than the respective capture, the context probability values being normalised according to a normalisation rule; and classifying the respective capture or an element thereof on the basis of the consolidated probability values.

    METHOD AND SYSTEM FOR DETECTING A TYPE OF SEAT OCCUPANCY

    公开(公告)号:US20230237814A1

    公开(公告)日:2023-07-27

    申请号:US18095694

    申请日:2023-01-11

    CPC classification number: G06V20/593 G06V10/82 G06V10/25 G06V10/34

    Abstract: Computer implemented method for detecting a type of seat occupancy, comprising capturing, by means of an imaging device, an image of a seat, the image comprising depth data and intensity data, performing, by means of a processor device, a classifier algorithm on the captured image to determine a level of occupancy, wherein, if the determination indicates that the level of occupancy is above a predetermined threshold, the method comprises processing, by means of the processor device, the depth data with a convolutional neural network, to determine a type of occupation and wherein, if the determination indicates that the level of occupancy is below a predetermined threshold, the method comprises processing, by means of the processor device, the intensity data with a convolutional neural network to determine a type of occupation.

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