刀闸分合状态确定方法、装置、设备、介质及产品

    公开(公告)号:WO2023078254A1

    公开(公告)日:2023-05-11

    申请号:PCT/CN2022/129042

    申请日:2022-11-01

    Abstract: 本公开提供了一种刀闸分合状态确定方法、装置、设备、介质及产品,该方法包括:获取刀闸监控图像;提取所述刀闸监控图像中多个预设区域的图像特征;所述多个预设区域至少包括刀闸处于合位状态时刀闸所处的合位位置区域和刀闸处于分位状态时刀闸所处的分位位置区域;将所述刀闸监控图像中各所述预设区域的图像特征与预设刀闸模板图像对应预设区域的图像特征进行结构相似性比较;根据结构相似性比较的结果确定刀闸分合状态。

    图像识别方法、装置、电子设备及存储介质

    公开(公告)号:WO2023060575A1

    公开(公告)日:2023-04-20

    申请号:PCT/CN2021/124169

    申请日:2021-10-15

    Abstract: 一种图像识别方法,适用于图像处理技术领域,包括:将待处理图像分割为预设数目个分块图像;其中,所述待处理图像包括待识别图像和参考图像;分别对每个所述分块图像进行特征提取处理,得到每个所述分块图像分别对应的分块特征信息(S102);根据各个所述分块图像的位置信息和对应的所述分块特征信息,确定所述待识别图像和所述参考图像之间的相似度权重(S103);根据各个所述分块特征信息以及所述相似度权重,确定所述待识别图像和所述参考图像之间的目标相似度(S103);根据所述目标相似度,确定所述待识别图像的识别结果(S104)。能够提高图像识别的鲁棒性和准确率。

    一种基于模型的数据处理方法、装置、电子设备、计算机可读存储介质及计算机程序产品

    公开(公告)号:WO2023040506A1

    公开(公告)日:2023-03-23

    申请号:PCT/CN2022/110247

    申请日:2022-08-04

    Abstract: 一种基于模型的数据处理方法、装置、电子设备、计算机可读存储介质及计算机程序产品,方法包括:对第一训练样本集合进行抽取,得到第二训练样本集合和查询视频,第一训练样本集合包括不同类型的视频样本;通过动作识别模型中的嵌入层网络,对第二训练样本集合进行处理,得到第一帧特征序列;通过嵌入层网络,对查询视频进行处理,得到第二帧特征序列;通过动作识别模型中的时序关系网络,对第一帧特征序列进行处理,得到第一时序关系描述子;通过时序关系网络,对第二帧特征序列进行处理,得到第二时序关系描述子;根据第一时序关系描述子和第二时序关系描述子,对动作识别模型的模型参数进行调整。

    SYSTEMS AND METHODS FOR HIGH VOLUME PROCESSING SUPPORT OF ELECTRONIC SIGNATURE TRACKING

    公开(公告)号:WO2023039075A1

    公开(公告)日:2023-03-16

    申请号:PCT/US2022/042920

    申请日:2022-09-08

    Applicant: SELEX ES INC.

    Inventor: CHILD, Todd

    Abstract: Embodiments of a system and method for data and security management are disclosed. An embodiment of the method may include capturing data relating to a plurality of targets from a plurality of sensors. The method may include correlating one or more targets to the data and classifying at least a portion of the data based on one or more correlations of the one or more targets. The method may include storing in a database the capture data according to one or more of partitioning, complex indexing, or pre-search statistical processing, with one or more of time, date, and location data with each associated data, wherein the data comprises high volumes of data received substantially continuous. The method may include retrieving a subset of the based on a user request. The method may include generating one or more graphical representations based on retrieved subsets of data to thereby enable targeted tracking.

    METHOD AND ELECTRONIC DEVICE FOR IDENTIFYING USER

    公开(公告)号:WO2022139480A1

    公开(公告)日:2022-06-30

    申请号:PCT/KR2021/019647

    申请日:2021-12-22

    Abstract: Embodiments herein disclose a method and electronic device (100) for identifying user. The method includes capturing multiple image frames of a portion of face of the user and extracting facial descriptors from the multiple image frames. Further, the method includes generating first facial descriptor coordinates using the facial descriptors and determining a first distance between the first facial descriptor coordinates and second facial descriptor coordinates. The method also includes resizing the first facial descriptor coordinates radially and angularly based on the first distance and a weight associated with the facial descriptors and determining a second distance between the resized first facial descriptor coordinates and the second facial descriptor coordinates. Further, the method includes identifying whether the second distance between the resized first facial descriptor coordinates and the facial descriptor coordinates is less than a second distance threshold and identifying the user of the electronic device (100).

    IMAGE PROCESSING METHOD AND RELATED DEVICE
    10.
    发明申请

    公开(公告)号:WO2023085862A1

    公开(公告)日:2023-05-19

    申请号:PCT/KR2022/017785

    申请日:2022-11-11

    Abstract: Methods and apparatuses for performing image processing using artificial intelligence are provided. In an embodiment, an image processing method includes acquiring a target image based on an editing operation on an original image, performing a filling processing operation on the target image to obtain a first filled image including a first target region, identifying a target patch based on the first filled image, calculating a similarity value between the target patch and at least one patch related to the first filled image using a first artificial intelligence(AI) model, determining a target residual patch corresponding to the target patch based on the similarity value and generating a processing result image based on the target residual patch.

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