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公开(公告)号:US10607483B2
公开(公告)日:2020-03-31
申请号:US15300947
申请日:2015-12-23
发明人: Zhiqiang Chen , Li Zhang , Jianmin Li , Ziran Zhao , Yaohong Liu , Qiang Li , Zheng Hu , Jianping Gu , Ying Li
摘要: 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.
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公开(公告)号:US10134123B2
公开(公告)日:2018-11-20
申请号:US15278101
申请日:2016-09-28
发明人: Yuanjing Li , Ziran Zhao , Yaohong Liu , Qili Wang , Qiang Li , Jianping Gu
摘要: 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.
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公开(公告)号:US09557436B2
公开(公告)日:2017-01-31
申请号:US14138447
申请日:2013-12-23
发明人: Zhiqiang Chen , Li Zhang , Ziran Zhao , Qiang Li , Jianping Gu , Qingping Huang
CPC分类号: G01V5/005 , G06K9/00214 , G06K2209/09 , G06T7/11 , G06T7/187 , G06T17/00 , G06T2207/10081 , G06T2207/30112
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US20140185923A1
公开(公告)日:2014-07-03
申请号:US14136462
申请日:2013-12-20
发明人: Zhiqiang Chen , Li Zhang , Ziran Zhao , Qingping Huang , Qiang Li , Jianping Gu , Yunda Sun
IPC分类号: G06K9/00
CPC分类号: G06T7/596 , G06K9/00201 , G06K9/00523 , G06K9/00536 , G06K9/6215 , G06K9/627 , G06K2209/09 , G06T7/0004 , G06T7/68 , G06T11/008 , G06T2207/10081 , G06T2207/30112 , G06T2211/408
摘要: Methods for extracting a shape feature of an object and security inspection methods and apparatuses. Use is made of CT's capability of obtaining a 3D structure. The shape of an object in an inspected luggage is used as a feature of a suspicious object in combination with a material property of the object. For example, a false alarm rate in detection of suspicious explosives may be reduced.
摘要翻译: 用于提取对象的形状特征的方法和安全检查方法和装置。 使用CT可以获得3D结构。 检查行李中的物体的形状被用作可疑物体的特征,与物体的材料属性相结合。 例如,可能会减少检测可疑炸药的误报率。
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公开(公告)号:US12131543B2
公开(公告)日:2024-10-29
申请号:US17202088
申请日:2021-03-15
发明人: Li Zhang , Zhiqiang Chen , Yuanjing Li , Yuxiang Xing , Fanhua Meng , Qiang Li , Wei Li , Gang Fu
IPC分类号: G06F16/583 , G06F16/55 , G06V10/20 , G06V10/75 , G06V10/764 , G06V10/82 , G06V20/20 , G06V20/52 , G06Q10/0832
CPC分类号: G06V20/52 , G06F16/55 , G06F16/583 , G06V10/255 , G06V10/75 , G06V10/764 , G06V10/82 , G06V20/20 , G06Q10/0832
摘要: 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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公开(公告)号:US20210286842A1
公开(公告)日:2021-09-16
申请号:US17202088
申请日:2021-03-15
发明人: Li Zhang , Zhiqiang Chen , Yuanjing Li , Yuxiang Xing , Fanhua Meng , Qiang Li , Wei Li , Gang Fu
IPC分类号: G06F16/583 , G06K9/00 , G06F16/55
摘要: 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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公开(公告)号:US10289699B2
公开(公告)日:2019-05-14
申请号:US15282134
申请日:2016-09-30
发明人: Zhiqiang Chen , Li Zhang , Ziran Zhao , Yaohong Liu , Jianping Gu , Zheng Hu , Qiang Li
摘要: A vehicle inspection method and system are disclosed. In one aspect, the method includes acquiring a transmission image of an inspected vehicle. The method further includes acquiring a transmission image template of a vehicle model corresponding to the model of the inspected vehicle from a database. The method further includes performing registration on the transmission image of the inspected vehicle and the transmission image template. The method further includes determining a difference between a transmission image after the registration and a transmission image template after the registration, to obtain a difference area of the transmission image of the vehicle relative to the transmission image template. The method further includes processing the difference area to determine whether the vehicle carries a suspicious object or not. In some embodiments, this solution can avoid the problems of a detection loophole and a poor effect of manually determining an image in a conventional manner, and is important to assist the security inspection for small vehicles.
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公开(公告)号:US10162077B2
公开(公告)日:2018-12-25
申请号:US15030511
申请日:2015-07-24
发明人: Jianmin Li , Lei Zeng , Qiang Li , Wen Wei
摘要: A method for inspecting a vehicle includes acquiring a unique identity number of an insepected vehicle, carrying out X-ray scanning on the inspected vehicle to acquire an X-ray image of the inspected vehicle, retrieving at least one historical inspected image related to the unique identity number from a historical inspection database, determining, based on one template image selection algorithm selected from multiple template image selection algorithms, one of the at least one historical inspected images as a template image, determining a difference region between the X-ray image and the template image, and presenting the difference region to a user.
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公开(公告)号:US10074166B2
公开(公告)日:2018-09-11
申请号:US14700249
申请日:2015-04-30
发明人: Kejun Kang , Zhiqiang Chen , Li Zhang , Ziran Zhao , Yaohong Liu , Jian Zhang , Jianping Gu , Qiang Li , Duokun Zhang
CPC分类号: G06T7/0004 , G01N23/04 , G01V5/0016 , G06K9/4604 , G06K9/4642 , G06K9/52 , G06K9/6215 , G06K9/6256 , G06K2009/4666
摘要: The present disclosure discloses a method and system for inspecting cargoes. The method comprises: acquiring a transmission image of the inspected cargoes; processing the transmission image to acquire an interested region; extracting features from the interested region, and determining cargo information of the inspected cargoes according to the extracted features; and providing a proposed treatment suggestion of the cargoes based on the determined cargo information and at least a part of information in a manifest. The above solution can facilitate an image judgment person to accurately judge whether the concerned cargoes are allowed to pass.
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公开(公告)号:US10013750B2
公开(公告)日:2018-07-03
申请号:US14138399
申请日:2013-12-23
发明人: Li Zhang , Zhiqiang Chen , Ziran Zhao , Qiang Li , Jianping Gu , Yunda Sun
CPC分类号: G06T7/0004 , G01V5/005 , G06K9/00201 , G06T7/0002 , G06T15/08 , G06T2200/04 , G06T2207/10116 , G06T2207/30112
摘要: Disclosed are object detection method, display methods and apparatuses. The method includes obtaining slice data of inspected luggage in the CT system; generating 3D volume data of objects in the luggage from the slice data; for each object, determining a semantic description including at least a quantifier description of the object based on the 3D volume data; and upon reception of a user selection of an object, presenting the semantic description of the selected object while displaying a 3D image of the object. 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.
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