Abstract:
A method for inspecting a container and an inspection device are disclosed. X-ray scanning is performed on the inspected container to obtain a scanned image. The scanned image is processed to obtain a region of interest. Features of texture units included in the region of interest are calculated. Local descriptions of the texture units are formed based on the features of the texture units. Distinction of each local point is calculated from a local description of each of the texture units so as to obtain a local distinct map of the region of interest. It is determined whether there is an article which is secretly carried in the inspected container using the local distinct map.
Abstract:
A vehicle type recognition method based on a laser scanner is provided, the method comprising steps of: 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:
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.
Abstract:
An inspection apparatus and a method for segmenting an Image of a vehicle are disclosed. An X-ray transmission scanning is performed on the vehicle to obtain a transmission image. Each pixel of the transmission image is labeled with a category tag, by using a trained convolutional network. Images of respective parts of the vehicle are determined according to the category tag for each pixel. With the above solutions, it is possible to segment the images of respective parts of a vehicle more accurately in the situations that are complicated or have large variety kinds of vehicles.
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.
Abstract:
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.
Abstract:
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.