利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

40 条记录 (耗时 0.02 秒)

    METHOD FOR NOTIFYING A VISUALLY IMPAIRED USER OF THE PRESENCE OF OBJECT AND/OR OBSTACLE
    2.
    发明申请
    METHOD FOR NOTIFYING A VISUALLY IMPAIRED USER OF THE PRESENCE OF OBJECT AND/OR OBSTACLE 审中-公开

    公开(公告)号：WO2023061927A1

    公开(公告)日：2023-04-20

    申请号：PCT/EP2022/078078

    申请日：2022-10-10

    申请人： FUSION LAB TECHNOLOGIES SARL

    发明人： FABIEN, Maël ,  VOLLMER, Bruno ,  BRAUN, Rudolf

    IPC分类号： G06V20/20 ,  G06V10/764 ,  G06V10/62 ,  A61F9/08 ,  G06V10/82 ,  G06V20/64

    摘要： The present relates to method for notifying a blind or visually impaired user (U) placed in an environment of the presence of objects in said environment, the method comprises: i) acquiring data of the environment surrounding the user by using at least one sensor, said data comprising at least images; ii) processing the acquired data by applying a trained object detector model to identify said objects present in said environment; iii) tracking the displacement of the detected objects to attribute a score to each detected object depending on at least one predetermined tracking criteria; iv) selecting the objects whose score is above a predetermined threshold; v) generating adaptative object feedback that is transmitted to the user (U) for each selected object, said adaptative object feedback comprising features that are adjusted depending on the score of each selected object to notify said user (U) about the presence of the objects in said environment.

    EFFICIENT VISION PERCEPTION
    3.
    发明申请
    EFFICIENT VISION PERCEPTION 审中-公开

    公开(公告)号：WO2023059962A1

    公开(公告)日：2023-04-13

    申请号：PCT/US2022/075542

    申请日：2022-08-26

    申请人： QUALCOMM INCORPORATED

    发明人： PARK, Hee Jun ,  GOEL, Abhinav ,  KANG, Young Hoon

    IPC分类号： G06V10/44 ,  G06V10/62 ,  G06V10/82 ,  G06V10/96 ,  G06V10/20 ,  G06V10/255 ,  G06V10/454

    摘要： Systems and techniques are provided for vision perception processing. An example method can include determining an attention demand score or characteristic per region of a frame from a sequence of frames; generating attention votes per region of the frame based on the attention demand score or characteristic per region, the attention votes per region providing attention demands and/or attention requests; determining an attention score or characteristic per region of the frame based on a number of attention votes from one or more computer vision functions; based on the attention score or characteristic per region of the frame, selecting one or more regions of the frame for processing using a neural network; and detecting or tracking one or more objects in the one or more regions of the frame based on processing of the one or more regions using the neural network.

    SEMI-AUTOMATIC DATA COLLECTION AND ASSOCIATION FOR MULTI-CAMERA TRACKING
    4.
    发明申请
    SEMI-AUTOMATIC DATA COLLECTION AND ASSOCIATION FOR MULTI-CAMERA TRACKING 审中-公开

    公开(公告)号：WO2022250970A1

    公开(公告)日：2022-12-01

    申请号：PCT/US2022/028945

    申请日：2022-05-12

    申请人： NEC LABORATORIES AMERICA, INC.

    发明人： LAI, Farley ,  KADAV, Asim ,  LAKSHMINARAYANAN, Likitha

    IPC分类号： G06V20/52 ,  H04N7/18 ,  G06V10/62 ,  G06V10/25 ,  G06N20/00

    摘要： A surveillance system is provided. The surveillance system includes a processor device (110) configured for (i) detecting and tracking persons locally for each camera input video stream using the common area anchor boxes and assigning each detected ones of the persons a local track id, (ii) associating a same person in overlapping camera views to a global track id, and. collecting associated track boxes as the same person moves in different camera views over time using a priority queue and the local track id and the global track id, (iii) performing track data collection to derive a spatial transformation through matched track box spatial features of a same person over time for scene coverage and (iv) learning a multi -camera tracker given visual features from matched track boxes of distinct people across cameras based on the derived spatial transformation.

    METHOD AND SYSTEM THEREOF FOR DETECTING OBJECTS IN THE FIELD OF VIEW OF AN OPTICAL DETECTION DEVICE
    5.
    发明申请
    METHOD AND SYSTEM THEREOF FOR DETECTING OBJECTS IN THE FIELD OF VIEW OF AN OPTICAL DETECTION DEVICE 审中-公开

    公开(公告)号：WO2022224111A1

    公开(公告)日：2022-10-27

    申请号：PCT/IB2022/053571

    申请日：2022-04-15

    申请人： UNIVERSITA' DEGLI STUDI DI TORINO ,  RIKEN

    发明人： MONTANARO, Antonio ,  BERTAINA, Mario Edoardo ,  EBISUZAKI, Toshikazu

    IPC分类号： G06V10/62 ,  G06V10/82

    摘要： Computer-implemented method for detecting objects in the field of view of an optical detection device (2) comprising: - acquiring (10), through the optical detection device (2), a plurality of subsequent frames (F) of a portion of an observed space in a time interval (T), wherein each frame (F) is acquired in a corresponding time instant (Tk) of the time interval (T); - selecting (20) a subset of frames (Fsel) from the plurality of frames (F); - for each set of values of shifting parameters (Formula I, θN) of a plurality of sets of values of shifting parameters (Formula I), θN) that are indicative corresponding predetermined motions of an object with respect to the optical detection device (2), determining (30) a corresponding first stacked frame (Fs, Fs,g, Fs,b) on the basis of the subset of frames (Fsel) and as a function of the set of values of the shifting parameters (Formula I, θN); - for each first stacked frame (Fs, Fs,g, Fs,b), determining (40, 50, 60) whether the first stacked frame (Fs, Fs,g, Fs,b) belongs to a first or a second class (C1, C2), wherein the first and the second class are respectively indicative of the presence or absence of an image of an object in the first stacked frame (Fs, Fs,g, Fs,b); and - selecting, among said sets of values of shifting parameters (Formula II, θg), each set of values of shifting parameters that is associated to corresponding first stacked frame (Fs, Fs,g) classified as belonging to the first class (C1), the method further comprising, for each selected set of values of shifting parameters (Formula II, θg) : - determining (70) a corresponding second stacked frame (Fs,n, Fs,n,g, Fs,n,b) on the basis of the set of frames (F) and as a function of the selected set of values of shifting parameters (Formula II, θg); - for each second stacked frame (Fs,n, Fs,n,g, Fs,n,b), determining (80, 90, 100) whether the second stacked frame (Fs,n, Fs,n,g, Fs,n,b) belongs to a third or a fourth class (C1, C2) wherein the third and the fourth class are respectively indicative of the presence or absence of an image of an object in the second stacked frame (Fs,n, Fs,n,g, Fs,n,b); - determining (110) if the first stacked frame (Fs, Fs,g) classified as belonging to the first class (C1) and in the second stacked frame (Fs,n, Fs,n,g, Fs,n,b) classified as belonging to the third class (C1) meet a requirement; and - if said requirement is met, indicate (120) the presence of an object.

    FACE IDENTIFICATION METHODS AND APPARATUSES
    7.
    发明申请
    FACE IDENTIFICATION METHODS AND APPARATUSES 审中-公开

    公开(公告)号：WO2023041963A1

    公开(公告)日：2023-03-23

    申请号：PCT/IB2021/058720

    申请日：2021-09-24

    申请人： SENSETIME INTERNATIONAL PTE. LTD.

    发明人： MA, Jiabin ,  LIU, Chunya ,  CHEN, Jinghuan ,  WU, Jinyi

    IPC分类号： G06V10/72 ,  G06V10/25 ,  G06V10/62 ,  G06V40/16 ,  G06T7/00 ,  G06N3/02 ,  G06K9/62

    摘要： The embodiments of the present disclosure provide a face identification method and apparatus, where the method includes: determining a target facial image sequence for a target face, wherein the target facial image sequence comprises multiple facial region images for the target face; performing face identification on at least one facial region image in the target facial image sequence, and determining, based on a confidence level of a face identification result of the at least one facial region image, a target facial region image from the target facial image sequence; determining, based on a face identification result of the target facial region image, identity information of the target face. This method improves the identification success rate of the facial region image and reduces the cost of face identification.