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    INFORMATION PROCESSING SYSTEM FOR DETECTION USING INDIVIDUAL SEPARATED COMPARTMENT
    292.
    发明公开
    INFORMATION PROCESSING SYSTEM FOR DETECTION USING INDIVIDUAL SEPARATED COMPARTMENT 审中-公开

    公开(公告)号：US20240242463A1

    公开(公告)日：2024-07-18

    申请号：US18414938

    申请日：2024-01-17

    Applicant: CANON KABUSHIKI KAISHA

    Inventor： SOTA TORII

    IPC: G06V10/25 ,  G06V10/60

    CPC classification number: G06V10/25 ,  G06V10/60 ,  G06V2201/07

    Abstract: An information processing system using an individual separated compartment for detecting a target through use of the individual separated compartment, the information processing system including: an image acquisition unit configured to acquire an image including, as an object, a plurality of individual separated compartments in which a target is includable, an exclusion region determination unit configured to set, based on the image, a characteristic value for determining an exclusion region to be excluded from among a plurality of regions of the image, and determine the exclusion region based on the characteristic value of the plurality of regions, and a calculation unit configured to calculate information relating to the target from an image of individual separated compartments included in each region for calculation obtained by excluding the exclusion region from the image.

    METHOD AND SYSTEM FOR SELECTING A FURNITURE ITEM BASED ON A REFERENCE IMAGE
    295.
    发明公开
    METHOD AND SYSTEM FOR SELECTING A FURNITURE ITEM BASED ON A REFERENCE IMAGE 审中-公开

    公开(公告)号：US20240233323A9

    公开(公告)日：2024-07-11

    申请号：US18382274

    申请日：2023-10-20

    Applicant: Fulhaus Inc.

    Inventor： Dheeraj Reddy Peddireddy

    IPC: G06V10/74

    CPC classification number: G06V10/761 ,  G06V2201/07

    Abstract: A computer-implemented method for selecting a furniture item based on a reference image, the method comprising: receiving a reference image and a room type; determining a main type of furniture items based on the room type; accessing a database comprising a plurality of main reference furniture items each belonging to the main type of furniture items; selecting a given one of the main reference furniture items based on the reference image; and outputting an identification of the given one of the main reference furniture items.

    HETEROGENEOUS ON-VEHICLE CAMERA SYSTEM FOR OBJECT DETECTION
    298.
    发明公开
    HETEROGENEOUS ON-VEHICLE CAMERA SYSTEM FOR OBJECT DETECTION 审中-公开

    公开(公告)号：US20240221392A1

    公开(公告)日：2024-07-04

    申请号：US18147531

    申请日：2022-12-28

    Applicant: Rivian IP Holdings, LLC

    Inventor： Elaine Wenying Jin ,  Vidya Rajagopalan

    IPC: G06V20/56 ,  G02B5/30 ,  G06V10/60 ,  G06V10/74 ,  H04N23/76

    CPC classification number: G06V20/588 ,  G02B5/3025 ,  G06V10/60 ,  G06V10/761 ,  H04N23/76 ,  G06V2201/07

    Abstract: Systems and methods to enhance vehicle object detection capability are provided. The vehicle may include a first sensor coupled with a body of the vehicle, the first sensor having a first field of view and the first sensor comprising a polarizer. The vehicle may include a second sensor coupled with the body of the vehicle, the second sensor having a second field of view. The first field of view and the second field of view can at least partially overlap. The vehicle may include a processor coupled with memory. The processor can receive a first image captured by the first sensor and a second image captured by the second sensor. The processor can determine a luminance of light ratio associated with the first image and the second image, and can modify an image processing technique.

    OPTIMIZED SINGLE SHOT DETECTOR (SSD) MODEL FOR OBJECT DETECTION
    300.
    发明公开
    OPTIMIZED SINGLE SHOT DETECTOR (SSD) MODEL FOR OBJECT DETECTION 审中-公开

    公开(公告)号：US20240221361A1

    公开(公告)日：2024-07-04

    申请号：US18089663

    申请日：2022-12-28

    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

    Inventor： KeYong YU

    IPC: G06V10/764 ,  G06V10/77 ,  G06V10/82

    CPC classification number: G06V10/765 ,  G06V10/7715 ,  G06V10/82 ,  G06V2201/07

    Abstract: Systems and methods for optimizing single shot detector (SSD) for object detection are disclosed herein. A system receives an image of a plurality of objects. Further, the system determines a plurality of feature layers and a plurality of feature cell sizes corresponding to the received image, based on an aspect ratio of the received image. Furthermore, the system determines aspect ratio of anchor boxes from trained model file, based on aspect ratio of anchor boxes, position and number of anchor boxes to be tiled in each feature cell of the plurality of feature layers. The size of the one or more anchor boxes corresponds to an anchor box aspect ratio. Additionally, the system assigns the one or more anchor boxes as a horizontal tile or a vertical tile in each feature cell, when the anchor box aspect ratio is less than a first pre-defined threshold value and greater than a second pre-defined threshold value, respectively. Further, the system generates one or more feature maps using an object detection model and a neural network (NN) model. The one or more feature maps comprises one or more feature map tensors. Furthermore, the system generates, for each layer of the one or more feature maps, a prediction tensor of predefined dimension from the one or more feature map tensors, using a prediction convolution layer. Additionally, the system detects and classifies the plurality of objects, based on the generated prediction tensor.

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