SYSTEM AND METHODS FOR MONITORING AIRBORNE TARGETS

    公开(公告)号:US20240362797A1

    公开(公告)日:2024-10-31

    申请号:US18639001

    申请日:2024-04-18

    摘要: A system and associated methods are disclosed for automatically detecting, tracking and classifying an at least one object, moving within an environment proximal to a structure, using a camera. In at least one embodiment, a processor receives a plurality of video frames as captured by the camera. For each of the video frames, the processor detects the presence of the at least one object within said video frame, creates a track for each of the at least one detected object, identifies each track as either an acceptable track or noise, classifies each of the acceptable tracks, and generates an at least one summary image that visually represents the at least one detected object within the environment proximal to the structure, allowing for validation and performance evaluation of the object detection, tracking, and classification process.

    IMAGE PROCESSING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20240355030A1

    公开(公告)日:2024-10-24

    申请号:US18682810

    申请日:2022-07-07

    发明人: Zhixiong LU

    IPC分类号: G06T13/60 G06T7/12 G06V10/60

    CPC分类号: G06T13/60 G06T7/12 G06V10/60

    摘要: An image processing method and apparatus, a device, and a storage medium are provided. The image processing method includes: acquiring a target image, and acquiring attribute information of the sky in the target image; performing sky segmentation processing on the target image to obtain a sky image in the target image; and, on the basis of the attribute information, performing corresponding effect processing on the sky image in the target image. The corresponding effect processing step is selected based on the attribute information in order to perform effect processing on the sky image.

    Edge-guided human eye image analyzing method

    公开(公告)号:US12106485B2

    公开(公告)日:2024-10-01

    申请号:US17729839

    申请日:2022-04-26

    IPC分类号: G06T7/12 G06V40/18

    摘要: The embodiments of the present disclosure disclose an edge-guided human eye image analyzing method. A specific implementation of this method comprises: collect a human eye image as an image to be detected; obtain a human eye detection contour map; obtain a semantic segmentation detection map and an initial human eye image detection fitting parameter; performing an iterative search on the initial human eye image detection fitting parameter to determine a target human eye image detection fitting parameter; sending the semantic segmentation detection map and the target human eye image detection fitting parameter as image analyzing results to a display terminal for display. This implementation improves the accuracy at the boundary dividing the pupil-iris area, and increases the structural integrity of the ellipse resulted from dividing the pupil-iris area. In addition, the iterative search can achieve a more accurate ellipse parameter fitting result.

    Method for automatically segmenting teeth

    公开(公告)号:US12094121B2

    公开(公告)日:2024-09-17

    申请号:US17427653

    申请日:2020-02-04

    申请人: BOREA

    发明人: Julien Guillot

    IPC分类号: G06T7/11 A61C9/00 G06T7/12

    摘要: Method for segmenting a digital model (4) of teeth comprising a three-dimensional triangular mesh (41), wherein automatic means (6) implement the following steps, which are referred to as initial steps:



    classifying, within the mesh (41), at least one triangle into a concave category and/or at least one triangle into a convex category, and
    identifying, within the mesh (41), at least one tooth region comprising triangles such that each triangle of the region has at least one neighbouring triangle in the region, all the triangles of the region belonging to neither the convex nor the concave category.

    SUBJECT EXTRACTION DEVICE, SUBJECT EXTRACTION METHOD, AND PROGRAM

    公开(公告)号:US20240303823A1

    公开(公告)日:2024-09-12

    申请号:US18576706

    申请日:2021-07-06

    发明人: Makoto MUTO

    摘要: A subject extraction device (10) according to the present disclosure includes: a resolution reducing unit (111) that reduces resolution of an image to generate a low resolution image; a subject possibility extraction unit (112) that extracts possibilities of a subject portion from the low resolution image; a resolution increasing unit (113) that increases resolution of a boundary portion between the subject portion and a non-subject portion, judges whether the boundary portion is the non-subject portion pixel by pixel, and decides the subject portion and the non-subject portion on the basis of a judgement result; and a calculation resource assignment unit (114) that determines a value of the calculation resource to be assigned to the subject possibility extraction unit (112) as a first value and determines a value of the calculation resource to be assigned to the resolution increasing unit (113) as a second value according to the number of subject portions, and assigns the calculation resource to the subject possibility extraction unit (112) and the resolution increasing unit (113) on the basis of the first value and the second value that have been determined.