Targets for tracking, and systems and methods for tracking the targets

    公开(公告)号:US12106542B2

    公开(公告)日:2024-10-01

    申请号:US17688848

    申请日:2022-03-07

    IPC分类号: G06V10/48 G06T7/20 G06T7/70

    摘要: Described are targets for use in optical tracking, as well as related methods. In some implementations, a target comprises a planar surface with an optically detectable pattern thereon, and at least one protrusion extending from the planar surface. In other implementations, a target comprises a planar surface with an optically detectable pattern thereon, with a specular reflective region. The optically detectable pattern provides accurate position information of the target, and provides accurate orientation information of the target about a first axis, but may not provide accurate orientation information of the target about other axes. The at least one protrusion or the specular reflective region provide accurate information of orientation of the target, particularly orientations about axes other than the first axis.

    Concept for anonymous re-identification

    公开(公告)号:US12008078B2

    公开(公告)日:2024-06-11

    申请号:US17446175

    申请日:2021-08-27

    发明人: Thomas Jakobsen

    摘要: Examples relate to a concept for anonymous re-identification, more specifically, but not exclusively, to systems, apparatuses, methods and computer programs for performing anonymous re-identification and for training a machine-learning model for use in anonymous re-identification. An apparatus for re-identification comprises processing circuitry configured to obtain media data via an interface. the processing circuitry is configured to generate a re-identification code representing at least a portion of the media data using a hashing algorithm. The processing circuitry is configured to transform the re-identification code using a transformation functionality to obtain a transformed re-identification code. The transformation functionality is configured to transform the re-identification code such that, if the re-identification code is similar to a further re-identification code generated by the hashing algorithm according to a similarity metric, the transformed re-identification code is similar to a further transformed re-identification code being a transformed version of the further re-identification code. The transformation functionality is configured to transform the re-identification code based on a transformation parameter, with the transformation parameter being dependent on a time and/or a location. The processing circuitry is configured to provide the transformed re-identification code.

    AUTOMATED DATA ANNOTATION FOR COMPUTER VISION APPLICATIONS

    公开(公告)号:US20230394786A1

    公开(公告)日:2023-12-07

    申请号:US17829844

    申请日:2022-06-01

    IPC分类号: G06V10/48 G06V20/70 G06N3/08

    CPC分类号: G06V10/48 G06N3/08 G06V20/70

    摘要: This disclosure provides methods, devices, and systems for training machine learning models. The present implementations more specifically relate to techniques for automating the annotation of data for training machine learning models. In some aspects, a machine learning system may receive a reference image depicting an object of interest with one or more annotations and also may receive one or more input images depicting the object of interest at various distances, angles, or locations but without annotations. The machine learning system maps a set of points in the reference image to a respective set of points in each input image so that the annotations from the reference image are projected onto the object of interest in each input image. The machine learning system may further train a machine learning model to produce inferences about the object of interest based on the annotated input images.

    Computer Implemented Method and System of Skin Identification Comprising Scales

    公开(公告)号:US20230351722A1

    公开(公告)日:2023-11-02

    申请号:US17796530

    申请日:2021-02-01

    申请人: U-NICA SYSTEMS AG

    摘要: A computer implemented method of skin identification having scales, especially reptile skin identification, includes the steps of acquiring at least one image of a skin portion to be identified, detecting of features corresponding to borders of scales in the image, building a graph of the repetitive pattern scales positions of detected scales, determining the outline of the detected scales and representing the detected scales based on their outline, and determining recognition features data of detected scales for traceable identification of the skin comprising scales. The detection of scales is based on scan lines.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20230245423A1

    公开(公告)日:2023-08-03

    申请号:US18002690

    申请日:2021-06-18

    发明人: TAKAHIRO HIRANO

    IPC分类号: G06V10/764 G06V10/48

    摘要: The present technique relates to an information processing apparatus, an information processing method, and a program that enable recognition accuracy to be improved while suppressing an increase in load in object recognition using a CNN.
    An information processing apparatus: performs, a plurality of times, convolution of an image feature map representing a feature amount of an image of a first frame and generates a convolutional feature map of a plurality of layers; performs deconvolution of a feature map based on the convolutional feature map based on an image of a second frame preceding the first frame and generates a deconvolutional feature map; and performs object recognition based on the convolutional feature map based on an image of the first frame and on the deconvolutional feature map based on an image of the second frame. The present technique can be applied to, for example, a system which performs object recognition.