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    Vehicle identification methods and systems
    1.
    发明授权
    Vehicle identification methods and systems 有权

    公开(公告)号：US10607483B2

    公开(公告)日：2020-03-31

    申请号：US15300947

    申请日：2015-12-23

    Applicant: Nuctech Company Limited ,  Tsinghua University

    Inventor： Zhiqiang Chen ,  Li Zhang ,  Jianmin Li ,  Ziran Zhao ,  Yaohong Liu ,  Qiang Li ,  Zheng Hu ,  Jianping Gu ,  Ying Li

    IPC: G08G1/054 ,  G08G1/017 ,  G06K9/46 ,  G01V5/00 ,  G08G1/015

    Abstract: Disclosed is a vehicle identification method and system. The method includes: acquiring appearance information of an inspected vehicle; obtaining external features of the vehicle based on the appearance information; acquiring a transmission image of the vehicle and obtaining internal features of the vehicle from the transmission image; forming descriptions on the vehicle at least based on the external features and the internal features; and determining a vehicle model of the vehicle from a vehicle model databased by utilizing the descriptions. This method merges various types of modality information, especially introducing the transmission image, and combines the internal structure information with the appearance information, so that the present disclosure can identify a vehicle model more practically.

    Methods, systems, and apparatuses for inspecting goods
    3.
    发明授权
    Methods, systems, and apparatuses for inspecting goods 有权

    公开(公告)号：US10134123B2

    公开(公告)日：2018-11-20

    申请号：US15278101

    申请日：2016-09-28

    Applicant: Tsinghua University ,  NUCTECH COMPANY LIMITED

    Inventor： Yuanjing Li ,  Ziran Zhao ,  Yaohong Liu ,  Qili Wang ,  Qiang Li ,  Jianping Gu

    IPC: G06K9/00 ,  G06T7/00 ,  G06T7/40 ,  G06K9/48 ,  G01N23/04

    Abstract: The present disclosure provides a method and a system for inspecting goods. The method comprises steps of: obtaining a transmission image of inspected goods; processing the transmission image to obtain a suspicious region; extracting local texture features of the suspicious region and classifying the local texture features of the suspicious region based on a pre-created model to obtain a classification result; extracting a contour line shape feature of the suspicious region and comparing the contour line shape feature with a pre-created standard template to obtain a comparison result; and determining that the suspicious region contains a high atomic number matter based on the classification result and the comparison result.

    Fluoroscopic inspection method, device and storage medium for automatic classification and recognition of cargoes
    4.
    发明授权
    Fluoroscopic inspection method, device and storage medium for automatic classification and recognition of cargoes 有权

    公开(公告)号：US10122973B2

    公开(公告)日：2018-11-06

    申请号：US14580488

    申请日：2014-12-23

    Applicant: Nuctech Company Limited

    Inventor： Ziran Zhao ,  Yaohong Liu ,  Jianping Gu ,  Qiang Li ,  Jian Zhang

    IPC: G06T7/00 ,  H04N7/18 ,  G01V5/00 ,  G06K9/00 ,  G06K9/46

    Abstract: The present disclosure relates to a fluoroscopic inspection system for automatic classification and recognition of cargoes. The system includes: an image data acquiring unit, configured to perform scanning and imaging for a container by using an X-ray scanning device to acquire a scanned image; an image segmenting unit, configured to segment the scanned image into small regions each having similar gray scales and texture features; a feature extracting unit, configured to extract features of the small regions; a training unit, configured to generate a classifier according to annotated images; and a classification and recognition unit, configured to recognize the small regions by using the classifier according to the extracted features, to obtain a probability of each small region pertaining to a certain category of cargoes, and merge small regions to obtain large regions each representing a category.

    VEHICLE TYPE RECOGNITION METHOD AND FAST VEHICLE CHECKING SYSTEM USING THE SAME METHOD
    6.
    发明申请
    VEHICLE TYPE RECOGNITION METHOD AND FAST VEHICLE CHECKING SYSTEM USING THE SAME METHOD 审中-公开
    车辆类型识别方法和使用相同方法的快速车辆检查系统

    公开(公告)号：US20160180186A1

    公开(公告)日：2016-06-23

    申请号：US14972106

    申请日：2015-12-17

    Applicant: NUCTECH COMPANY LIMITED

    Inventor： Shangmin Sun ,  Yanwei Xu ,  Qiang Li ,  Weifeng Yu ,  Yu Hu

    IPC: G06K9/32 ,  H04N5/33 ,  G06K9/20 ,  G06K9/00

    CPC classification number: G06K9/3241 ,  G06K9/00201 ,  G06K9/00771 ,  G06K9/209 ,  H04N5/33

    Abstract: A vehicle type recognition method based on a laser scanner is provided, the method includes detecting that a vehicle to be checked has entered into a recognition area; causing a laser scanner to move relative to the vehicle to be checked; scanning the vehicle to be checked using the laser scanner on a basis of columns, and storing and splicing data of each column obtained by scanning to form a three-dimensional image of the vehicle to be checked, wherein a lateral width value is specified for each single column of data; specifying a height difference threshold; and determining a height difference between the height at the lowest position of the vehicle to be checked in data of column N and the height at the lowest position of the vehicle to be checked in data of specified number of columns preceding and/or succeeding to the column N.

    Abstract translation: 提供了一种基于激光扫描仪的车辆识别方法，该方法包括：检测要检查的车辆已经进入识别区域; 使激光扫描仪相对于待检查的车辆移动; 使用激光扫描仪基于列扫描要检查的车辆，以及存储和拼接通过扫描获得的每列的数据，以形成要检查的车辆的三维图像，其中为每一个指定横向宽度值 单列数据; 指定高度差阈值; 并且确定在列N的数据中要检查的车辆的最低位置处的高度与要检查的车辆的最低位置处的高度之间的高度差，该数据在指定的列数之前和/或之后的数据中 列N.

    3-dimensional model creation methods and apparatuses
    7.
    发明授权
    3-dimensional model creation methods and apparatuses 有权
    三维模型创建方法和装置

    公开(公告)号：US09557436B2

    公开(公告)日：2017-01-31

    申请号：US14138447

    申请日：2013-12-23

    Applicant: Tsinghua University ,  Nuctech Company Limited

    Inventor： Zhiqiang Chen ,  Li Zhang ,  Ziran Zhao ,  Qiang Li ,  Jianping Gu ,  Qingping Huang

    IPC: G06T17/00 ,  G01V5/00 ,  G06T7/00 ,  G06K9/00

    CPC classification number: G01V5/005 ,  G06K9/00214 ,  G06K2209/09 ,  G06T7/11 ,  G06T7/187 ,  G06T17/00 ,  G06T2207/10081 ,  G06T2207/30112

    Abstract: Disclosed are methods and apparatuses for creating a 3-Dimensional model for objects in an inspected luggage in a CT system. The method includes acquiring slice data of the luggage with the CT system; interpolating the slice data to generate 3D volume data of the luggage; performing unsupervised segmentation on the 3D volume data of the luggage to obtain a plurality of segmental regions; performing isosurface extraction on the plurality of segmental regions to obtain corresponding isosurfaces; and performing 3D surface segmentation on the isosurfaces to form a 3D model for the objects in the luggage. The above solutions can create a 3D model for objects in the inspected luggage in a relatively accurate manner, and thus provide better basis for subsequent shape feature extraction and security inspection, and reduce omission factor.

    Abstract translation: 公开了用于在CT系统中检查的行李中的物体创建三维模型的方法和装置。 该方法包括采用CT系统获取行李的切片数据; 内插切片数据以生成行李的3D体积数据; 对行李的3D体积数据执行无监督分割以获得多个分段区域; 在多个分段区域进行等值面提取以获得相应的等值面; 并在等面上执行3D表面分割，以形成行李中物体的3D模型。 上述解决方案可以以相对准确的方式为被检查行李中的对象创建3D模型，从而为随后的形状特征提取和安全检查提供更好的依据，并减少遗漏因素。

    SEMANTIC-BASED METHOD AND APPARATUS FOR RETRIEVING PERSPECTIVE IMAGE
    10.
    发明申请
    SEMANTIC-BASED METHOD AND APPARATUS FOR RETRIEVING PERSPECTIVE IMAGE 有权

    公开(公告)号：US20210286842A1

    公开(公告)日：2021-09-16

    申请号：US17202088

    申请日：2021-03-15

    Applicant: Tsinghua University ,  Nuctech Company Limited

    Inventor： Li Zhang ,  Zhiqiang Chen ,  Yuanjing Li ,  Yuxiang Xing ,  Fanhua Meng ,  Qiang Li ,  Wei Li ,  Gang Fu

    IPC: G06F16/583 ,  G06K9/00 ,  G06F16/55

    Abstract: A semantic-based method and apparatus for retrieving a perspective image, an electronic device and a computer-readable storage medium are provided. An method includes obtaining a perspective image for a space containing an inspected object therein. A semantic division on the perspective image is performed using a first method, to obtain a plurality of semantic region units. A feature extraction network is constructed using a second method. Based on the perspective image and each of the plurality of semantic region units, a feature of each semantic region unit is extracted using the feature extraction network. Based on the feature of each semantic region unit, an image most similar to the semantic region unit is retrieved from an image feature database, to assist in determining an inspected object in the semantic region unit.

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