CN115578794A - X-ray security check machine imaging identification method and system based on dynamic tracking - Google Patents

Abstract

The invention discloses an X-ray security check machine imaging identification method and a system based on dynamic tracking, wherein the method comprises the following steps: s1, acquiring face information, and acquiring identity information through big data analysis and comparison; s2, emitting an X-ray signal to a three-dimensional space where a target moves; s3, displaying an image video of the target moving in the three-dimensional space in the virtual environment; s4, analyzing the change amplitude and the change angle of the limb action of the moving target by an image analysis method to obtain limb action data of the moving target; s5, comparing the walking limb action data stored in the database corresponding to the identity information acquired in the step S1 with the limb action data of the moving target acquired in the step 4; and S6, judging whether the walking posture information is the walking posture information of the identity information owner. The invention solves the problem that whether the moving person is in the walking posture of the person or not cannot be effectively identified in the existing high-confidentiality person identification scene.

Description

X-ray security check machine imaging identification method and system based on dynamic tracking

Technical Field

The invention belongs to the technical field of light imaging processing, and particularly relates to an X-ray security check machine imaging identification method and system based on dynamic tracking.

Background

The security inspection machine mainly works by X-ray, and is an electronic device which finishes inspection by conveying an inspected object into an X-ray inspection channel by means of a conveyor belt of the security inspection machine. A fan-shaped X-ray beam passing through the collimator penetrates through the detected object on the conveying belt, the X-ray is absorbed by the detected object, and finally, the double-energy semiconductor detector arranged in the channel is bombarded. The detector converts the X-rays into signals and these very weak signals are amplified and sent to a signal processing box for further processing. The security check machine can present images with different colors on a screen according to the absorption degree of the X-ray by the object, for example, orange represents organic matters such as food, plastics and the like; books, ceramics and the like are displayed in green, metals are displayed in blue, and at the moment, a security inspector can determine whether the checked object is an illegal object according to experience by quickly checking a perspective image of X-ray scanning on a display device.

The invention discloses a hazardous article security inspection system based on a terahertz imaging technology, which is disclosed in the Chinese invention patent with the patent number of CN202010042283.1, and comprises a reflector and a terahertz source which are respectively arranged above a conveyor belt, wherein the terahertz source and the reflector are sequentially arranged along the conveying direction of the conveyor belt, a terahertz linear array camera is arranged below the conveyor belt between the terahertz source and the reflector, the terahertz linear array camera is connected with an operation host, terminal operation software is installed in the operation host, image signals of the terahertz linear array camera are read and displayed through a display, and the operation host, the terminal operation software and the display form an intelligent operation terminal. Nonmetal, liquid and powder articles which can not be imaged by X-ray can be safely and effectively detected, and meanwhile, an effective technical approach is provided for personal safety detection of terahertz imaging.

The conventional patent has a drawback that although the security inspection object can be effectively recognized, in a highly confidential person recognition scene, it is impossible to effectively recognize whether or not a moving person is in the walking posture of the person.

Disclosure of Invention

The invention provides an X-ray security check machine imaging identification method and system based on dynamic tracking, aiming at the problem that whether a moving person is in the walking posture of the person or not cannot be effectively identified in the existing high-confidentiality person identification scene.

In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:

an X-ray security check machine imaging identification method based on dynamic tracking comprises the following steps:

s1, acquiring face information through a face recognition device, and acquiring identity information through big data analysis and comparison;

s2, emitting an X-ray signal to a three-dimensional space where a target moves through an X-ray imaging instrument;

s3, displaying an image video of the target moving in the three-dimensional space in the virtual environment in real time through an X-ray imaging device;

s4, analyzing the change amplitude and the change angle of the limb action of the moving target by an image analysis method to obtain limb action data of the moving target;

s5, comparing the walking limb action data stored in the database corresponding to the identity information acquired in the step S1 with the limb action data of the moving target acquired in the step 4;

and S6, judging whether the walking posture information of the identity information is the walking posture information of the person collecting the identity information or not according to the preset percentage which accords with the similarity of the target comparison value.

Further, an identity authentication step is further included between steps S1 and S2, and specifically includes:

s1.1, acquiring identity card information of a user through a scanner;

s1.2, analyzing and comparing the identity card information with big data to obtain identity information, comparing the identity information, judging whether the identity card number and the name are the same, if so, entering a step S1.3, and if so, entering a step S2;

s1.3, an alarm is sent out through alarm equipment connected to the security check machine, and monitoring personnel are informed that the identity card information is not matched with the face identification information.

Further, the detailed steps of step S2 include:

s201, scattering X rays through a three-dimensional space channel, wherein X-ray imaging instruments are arranged on two sides of the channel, and the three-dimensional space channel is used for enabling a person to be monitored to walk and move;

s202, carrying an X-ray image acquisition device through a target moving and tracking device, and tracking and acquiring a limb action video of a walking person in a three-dimensional space channel;

and S203, sending the collected limb action video to an X-ray image imaging device through a video transmission device.

Further, the specific steps of step S4 include:

s401, decomposing a limb movement video of a target into a plurality of continuous pictures;

s402, grabbing a target by adopting a point cloud algorithm according to the posture of the limb in the picture;

s403, drawing the point cloud coordinates of the same limb posture of a plurality of continuous pictures in a virtual environment two-dimensional graph;

s404, connecting a plurality of coordinate points in the virtual environment two-dimensional graph, drawing a line drawing in a connected mode, and calculating the slope of a connecting line of each connected coordinate point;

and S405, performing curve fitting on the connection drawing line graph.

Further, the detailed step of step S6 includes:

s601, comparing the slope of the connecting line of all the coordinate points and the curve fitting trend map of the coordinate points obtained in the step S404 with a preset slope of the connecting line of the target normal walking coordinate and the curve fitting trend map of the coordinate points;

s602, judging whether the slope of the connecting line of the target normal walking coordinate and the curve fitting trend map of the coordinate point and the collected slope of the connecting line of the target coordinate point and the curve fitting trend map of the coordinate point have numerical values which exceed the preset similarity percentage;

s603, if yes, judging that the walking posture information of the identity information is collected;

s604, if not, judging that the walking posture information of the identity information person is different, and determining the identity authenticity of the identity information person to be determined.

An X-ray security check machine imaging identification system based on dynamic tracking comprises a face information acquisition unit, an identity judgment unit, an X-ray image imaging unit, an image analysis unit, a limb action data calculation unit, a data storage library and a comprehensive walking information judgment unit;

the face information acquisition unit is in communication connection with the identity judgment unit and is used for acquiring face information;

the identity information acquisition unit is in communication connection with the identity judging unit and is used for acquiring identity card information;

the identity judging unit is used for comparing the acquired identity information and the acquired identity card information through big data analysis and comparison and judging whether the acquired identity information and the acquired identity card information are the same target;

the X-ray imaging unit is in communication connection with the identity judging unit and is used for starting the X-ray imaging unit to acquire and display an image video of a target moving in a three-dimensional space in a virtual environment when the identity judging unit is the same target person;

the image analysis unit is in communication connection with the X-ray imaging unit and is used for analyzing images of the moving target in the three-dimensional space, acquiring the change amplitude and the change angle of the limb movement of the moving target, and analyzing and acquiring the limb movement data of the moving target;

the limb action data calculation unit is in communication connection with the image analysis unit and is used for calculating all limb action data of the target in the image video;

the data storage library is used for storing identity information, the change amplitude and the change angle of the conventional walking limb action of the moving target and the percentage of the similarity of a preset target comparison value;

the comprehensive walking information judging unit is respectively in communication connection with the limb action data comparing unit and the data storage library and is used for judging whether the slope of a connecting line of a target normal walking coordinate and a curve fitting trend graph of a coordinate point in the data storage library and the slope of a connecting line of the target coordinate point and the curve fitting trend graph of the coordinate point have numerical values which exceed the preset similarity percentage.

Compared with the prior art, the invention has the following beneficial effects:

in a high-confidentiality character recognition scene, comparing the preset limb action data of a moving target of a target character with the real-time collected limb action data of the moving target, if the similarity of the comparison values of the target character exceeds the percentage of the similarity of the comparison values of the target, judging that the target character is the same person, and if the similarity of the comparison values of the target character does not exceed the percentage of the similarity of the comparison values of the target character, judging that the target character is not the same person. The function of identifying whether the walking posture of the user is the walking posture of the user or not through the imaging identification equipment of the X-ray security inspection machine is realized; the effect of more accurate security protection safety inspection has been reached.

Drawings

FIG. 1 is an overall flow chart of an X-ray security inspection machine imaging identification method based on dynamic tracking according to the present invention;

FIG. 2 is a block diagram of an imaging identification system of an X-ray security inspection machine based on dynamic tracking according to the present invention;

FIG. 3 is a flow chart of the steps of the identity verification of the present invention;

FIG. 4 is a flowchart illustrating the detailed step S4 of the present invention;

FIG. 5 is a flowchart illustrating the detailed step S6 according to the present invention.

Detailed Description

In order to facilitate understanding of those skilled in the art, the present invention is further described below with reference to the following examples and the accompanying drawings, which are not intended to limit the present invention.

As shown in fig. 1, the present embodiment provides an imaging identification method for an X-ray security inspection machine based on dynamic tracking, including the steps of: s1, acquiring face information through a face recognition device, and acquiring identity information through big data analysis and comparison; s2, emitting an X-ray signal to a three-dimensional space where a target moves through an X-ray imaging instrument; s3, displaying an image video of the target moving in the three-dimensional space in the virtual environment in real time through an X-ray imaging device; s4, analyzing the change amplitude and the change angle of the limb action of the moving target by an image analysis method to obtain limb action data of the moving target; s5, comparing the walking limb action data stored in the database corresponding to the identity information acquired in the step S1 with the limb action data of the moving target acquired in the step 4; and S6, judging whether the walking posture information of the identity information is the walking posture information of the identity information owner or not according to the preset percentage which accords with the similarity of the target comparison value.

As shown in fig. 3, an authentication step is further included between steps S1 and S2, and the authentication step specifically includes: s1.1, acquiring identity card information of a user through a scanner; s1.2, analyzing and comparing the identity card information with big data to obtain identity information, comparing, judging whether the identity card number and the name are the same, if so, entering the step S1.3, and if so, entering the step S2; s1.3, an alarm is sent out through alarm equipment connected to the security check machine, and monitoring personnel are informed that the identity card information is not matched with the face identification information. The security inspection and the security protection are avoided by borrowing the identity information of other people.

The detailed steps of step S2 include: s201, scattering X rays through a three-dimensional space channel for walking and moving of a person to be monitored by X-ray imaging instruments arranged on two sides of the channel; s202, carrying an X-ray image acquisition device through a target moving and tracking device, and tracking and acquiring a limb action video of a walking person in a three-dimensional space channel; and S203, sending the collected limb action video to an X-ray image imaging device through a video transmission device.

As shown in fig. 4, the specific steps of step S4 include: s401, decomposing a limb movement video of a target into a plurality of continuous pictures; s402, grabbing a target by adopting a point cloud algorithm according to the posture of the limb in the picture; s403, drawing the point cloud coordinates of the same limb posture of a plurality of continuous pictures in a virtual environment two-dimensional graph; s404, connecting a plurality of coordinate points in the virtual environment two-dimensional graph, drawing a line drawing in a connected mode, and calculating the slope of a connecting line of each connected coordinate point; and S405, performing curve fitting on the connection drawing line graph.

As shown in fig. 5, the detailed steps of step S6 include: s601, comparing the slope of the connecting line of all the coordinate points and the curve fitting trend map of the coordinate points obtained in the step S404 with a preset slope of the connecting line of the target normal walking coordinate and the curve fitting trend map of the coordinate points.

S602, judging whether the slope of the connecting line of the target normal walking coordinate and the curve fitting trend map of the coordinate point and the collected slope of the connecting line of the target coordinate point and the curve fitting trend map of the coordinate point have numerical values which exceed the preset similarity percentage; matching and comparing in a section-by-section comparison mode; if the preset target coordinate point is a connecting line slope of continuous 3-point cloud coordinate values, 1, 2, 3, 4. And matching one by one until the optimal similarity percentage is selected, and comparing the optimal similarity percentage with a preset percentage. Meanwhile, the preset similarity percentage value is an average target coordinate point connecting line slope and a coordinate point curve fitting trend obtained in the limb action video of the walking person walking in the three-dimensional space channel after the collected target walks for multiple times.

S603, if yes, judging that the walking posture information of the identity information is collected; s604, if not, judging that the walking posture information of the identity information person is different, and determining the identity authenticity of the identity information person to be determined.

As shown in fig. 2, an imaging identification system of an X-ray security inspection machine based on dynamic tracking includes a face information acquisition unit, an identity judgment unit, an X-ray imaging unit, an image analysis unit, a limb motion data calculation unit, a data repository, and a walking information comprehensive judgment unit.

The face information acquisition unit is in communication connection with the identity judgment unit and is used for acquiring face information; the identity information acquisition unit is in communication connection with the identity judging unit and is used for acquiring identity card information; the identity judging unit is used for comparing the acquired identity information and the acquired identity card information through big data analysis and comparison and judging whether the acquired identity information and the acquired identity card information are the same target; the X-ray imaging unit is in communication connection with the identity judging unit and is used for starting the X-ray imaging unit to acquire and display an image video of a target moving in a three-dimensional space in a virtual environment when the identity judging unit is the same target person; the image analysis unit is in communication connection with the X-ray imaging unit and is used for analyzing images of the moving target in the three-dimensional space, acquiring the change amplitude and the change angle of the limb movement of the moving target, and analyzing and acquiring the limb movement data of the moving target; the limb action data calculation unit is in communication connection with the image analysis unit and is used for calculating all limb action data of the target in the image video; and the data storage library is used for storing the identity information, the change amplitude and the change angle of the conventional walking limb action of the moving target and the preset percentage of the similarity of the target comparison value.

The comprehensive judgment walking information unit is respectively in communication connection with the limb action data comparison unit and the data storage library and is used for judging whether the slope of the target normal walking coordinate connecting line and the coordinate point curve fitting trend graph in the data storage library and the collected slope of the target coordinate point connecting line and the coordinate point curve fitting trend graph have numerical values exceeding the preset similarity percentage.

Compared with the prior art, the invention has the following beneficial effects:

in a high-confidentiality character recognition scene, comparing the preset limb action data of a moving target of a target character with the real-time collected limb action data of the moving target, if the similarity of the comparison values of the target character exceeds the percentage of the similarity of the comparison values of the target, judging that the target character is the same person, and if the similarity of the comparison values of the target character does not exceed the percentage of the similarity of the comparison values of the target character, judging that the target character is not the same person. The function of identifying whether the walking posture of the user is achieved through the imaging identification equipment of the X-ray security inspection machine; the effect of more accurate security protection safety inspection has been reached.

The detailed description is given above to the imaging identification method and system of the X-ray security inspection machine based on dynamic tracking. The description of the specific embodiments is only intended to facilitate an understanding of the methods of the present application and their core concepts. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.

Claims (6)

1. An X-ray security check machine imaging identification method based on dynamic tracking is characterized by comprising the following steps:

s1, acquiring face information through a face recognition device, and acquiring identity information through big data analysis and comparison;

s2, emitting an X-ray signal to a three-dimensional space where a target moves through an X-ray imaging instrument;

s3, displaying an image video of the target moving in the three-dimensional space in the virtual environment in real time through an X-ray imaging device;

s4, analyzing the change amplitude and the change angle of the limb action of the moving target by an image analysis method to obtain limb action data of the moving target;

s5, comparing the walking limb action data stored in the database corresponding to the identity information acquired in the step S1 with the limb action data of the moving target acquired in the step 4;

and S6, judging whether the walking posture information of the identity information is the walking posture information of the person collecting the identity information or not according to the preset percentage which accords with the similarity of the target comparison value.

2. The imaging identification method of the X-ray security check machine based on the dynamic tracking as claimed in claim 1, characterized in that an authentication step is further included between the steps S1 and S2, wherein the authentication step specifically includes:

s1.1, acquiring identity card information of a user through a scanner;

s1.2, analyzing and comparing the identity card information with big data to obtain identity information, comparing, judging whether the identity card number and the name are the same, if so, entering the step S1.3, and if so, entering the step S2;

s1.3, an alarm is sent out through alarm equipment connected to the security check machine, and monitoring personnel are informed that the identity card information is not matched with the face identification information.

3. The imaging identification method of the X-ray security inspection machine based on the dynamic tracking as claimed in claim 1 or 2, characterized in that the detailed steps of the step S2 comprise:

s201, scattering X rays through a three-dimensional space channel, wherein X-ray imaging instruments are arranged on two sides of the channel, and the three-dimensional space channel is used for enabling a person to be monitored to walk and move;

s202, carrying an X-ray image acquisition device through a target moving and tracking device, and tracking and acquiring a limb action video of a walking person in a three-dimensional space channel;

and S203, sending the collected limb action video to an X-ray image imaging device through a video transmission device.

4. The imaging identification method of the X-ray security inspection machine based on the dynamic tracking as claimed in claim 3, wherein the specific steps of the step S4 include:

s401, decomposing a limb movement video of a target into a plurality of continuous pictures;

s402, grabbing the target by adopting a point cloud algorithm according to the postures of the limbs in the picture;

s403, drawing the point cloud coordinates of the same limb posture of a plurality of continuous pictures in a virtual environment two-dimensional graph;

s404, connecting a plurality of coordinate points in the virtual environment two-dimensional graph, drawing a line graph in a connected mode, and calculating the slope of a connecting line of each connected coordinate point;

and S405, performing curve fitting on the connection drawing line graph.

5. The imaging identification method for the X-ray security inspection machine based on the dynamic tracking as claimed in claim 4, wherein the detailed step of the step S6 comprises:

s601, comparing the slope of the connecting line of all the coordinate points and the curve fitting trend map of the coordinate points obtained in the step S404 with a preset slope of the connecting line of the target normal walking coordinate and the curve fitting trend map of the coordinate points;

s602, judging whether the slope of the connecting line of the normal walking coordinate of the target and the curve fitting trend map of the coordinate point and the collected slope of the connecting line of the coordinate point of the target and the curve fitting trend map of the coordinate point have values which exceed the preset similarity percentage;

s603, if yes, judging that the walking posture information of the identity information is collected;

s604, if not, judging that the walking posture information of the identity information person is different, and determining the identity authenticity of the identity information person to be determined.

6. An X-ray security check machine imaging identification system based on dynamic tracking comprises a face information acquisition unit, an identity judgment unit, an X-ray image imaging unit, an image analysis unit, a limb action data calculation unit, a data storage library and a comprehensive walking information judgment unit;

the face information acquisition unit is in communication connection with the identity judgment unit and is used for acquiring face information;

the identity information acquisition unit is in communication connection with the identity judging unit and is used for acquiring identity card information;

the identity judging unit is used for comparing the acquired identity information and the acquired identity card information through big data analysis and comparison and judging whether the acquired identity information and the acquired identity card information are the same target;

the X-ray imaging unit is in communication connection with the identity judging unit and is used for starting the X-ray imaging unit to acquire and display an image video of a target moving in a three-dimensional space in a virtual environment when the identity judging unit is the same target person;

the image analysis unit is in communication connection with the X-ray imaging unit and is used for analyzing images of the moving target in the three-dimensional space, acquiring the change amplitude and the change angle of the limb movement of the moving target, and analyzing and acquiring the limb movement data of the moving target;

the limb action data calculation unit is in communication connection with the image analysis unit and is used for calculating all limb action data of the target in the image video;

the data storage library is used for storing identity information, the change amplitude and the change angle of the conventional walking limb action of the moving target and the percentage of the similarity of a preset target comparison value;

the comprehensive judgment walking information unit is respectively in communication connection with the limb action data comparison unit and the data storage library and is used for judging whether the slope of the target normal walking coordinate connecting line and the coordinate point curve fitting trend graph in the data storage library and the collected slope of the target coordinate point connecting line and the coordinate point curve fitting trend graph have numerical values exceeding the preset similarity percentage.

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