CN110874568A - Security check method and device based on gait recognition, computer equipment and storage medium - Google Patents
Security check method and device based on gait recognition, computer equipment and storage medium Download PDFInfo
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- CN110874568A CN110874568A CN201910927509.3A CN201910927509A CN110874568A CN 110874568 A CN110874568 A CN 110874568A CN 201910927509 A CN201910927509 A CN 201910927509A CN 110874568 A CN110874568 A CN 110874568A
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Abstract
The application relates to a security inspection method and device based on gait recognition, computer equipment and a storage medium. The method comprises the following steps: identifying a target object in video data of a preset area, and extracting first step characteristics of the target object; matching the first step state characteristic with a preset gait characteristic to obtain a first matching result; when the user identification of the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result; receiving a second biological characteristic, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result; when the second matching result is that the matching is successful, generating and sending an opening instruction; receiving a third biometric characteristic, the third biometric characteristic carrying outbound information; and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating and sending a payment instruction, and improving the convenience of security check.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a security inspection method and apparatus based on gait recognition, a computer device, and a storage medium.
Background
At present, most of security installations detect pedestrians through manual hand-held detectors, and object detection instruments scan objects and judge whether dangerous objects or illegal objects exist or not through monitoring the objects, so that the detection process is slow. The existing payment and gate passing method adopting card swiping or mobile phone swiping is inconvenient to carry, and once the mobile phone or the traffic card is lost, the payment cannot be carried out, and the mobile phone or the traffic card cannot normally pass through the gate.
Disclosure of Invention
In order to solve the technical problem, the application provides a security inspection method, a security inspection device, a computer device and a storage medium based on gait recognition.
In a first aspect, the present application provides a security inspection method based on gait recognition, including:
acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body;
matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result;
when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result;
receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result;
when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction;
receiving a third biometric characteristic, the third biometric characteristic carrying outbound information;
and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
In a second aspect, the present application provides a security inspection device based on gait recognition, including:
the characteristic extraction module is used for acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step-state characteristics corresponding to the human body;
the first matching module is used for matching the first step-state features with each preset gait feature in the preset gait feature library to obtain a first matching result;
the first biological characteristic acquisition module is used for acquiring a first biological characteristic corresponding to the first matching result when the user identifier corresponding to the first matching result is a legal user identifier;
the second matching module is used for receiving a second biological characteristic of the human body, carrying the incoming information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result;
the opening module is used for generating an opening instruction for opening the gate and sending the opening instruction when the second matching result is that the matching is successful;
the third biological characteristic receiving module is used for receiving a third biological characteristic, and the third biological characteristic carries outbound information;
and the payment module is used for acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction and sending the payment instruction.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body;
matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result;
when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result;
receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result;
when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction;
receiving a third biometric characteristic, the third biometric characteristic carrying outbound information;
and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body;
matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result;
when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result;
receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result;
when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction;
receiving a third biometric characteristic, the third biometric characteristic carrying outbound information;
and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
The security inspection method, the security inspection device, the computer equipment and the storage medium based on gait recognition comprise the following steps: acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body; matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result; when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result; receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result; when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction; receiving a third biometric characteristic, the third biometric characteristic carrying outbound information; and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction. Because the gait is difficult to imitate, the safety inspection is carried out through the gait recognition characteristics, the safety inspection safety can be improved, and the safety inspection can be completed without human intervention, so that the safety inspection efficiency is improved, the payment is carried out in a biological characteristic mode, any payment tool does not need to be carried, and the payment is convenient.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a diagram of an application environment of a security inspection method based on gait recognition in an embodiment;
FIG. 2 is a schematic flow chart illustrating a security inspection method based on gait recognition in one embodiment;
FIG. 3 is a schematic diagram of an application scenario of a security inspection method based on gait recognition in an embodiment;
FIG. 4 is a schematic diagram of an interface for security information in one embodiment;
FIG. 5 is a block diagram of a security device based on gait recognition according to an embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is an application environment diagram of a security inspection method based on gait recognition in an embodiment. Referring to fig. 1, the gait recognition-based security inspection method is applied to a security inspection control system. The security check control system comprises a video capture device 110, a computer device 120 and a gate 130, wherein a biological characteristic capture terminal 131 is mounted on the gate 130. The computer device 120 is connected to the video capture device 110 and via a network, respectively.
The video capture device 110 may be a camera, and the camera is mounted with a laser for detecting an object or an animal. The computer device 120 may be implemented as a stand-alone server or as a server cluster of multiple servers.
As shown in fig. 2, in one embodiment, a security inspection method based on gait recognition is provided. The embodiment is mainly illustrated by applying the method to the computer device 120 in fig. 1. Referring to fig. 2, the security inspection method based on gait recognition specifically includes the following steps:
step S201, video data in a preset area are obtained, a target object in the video data is identified, the target object comprises a human body, and first step characteristics corresponding to the human body are extracted.
Step S202, the first step characteristics are matched with all the preset gait characteristics in the preset gait characteristic library to obtain a first matching result.
Specifically, the preset region refers to a predefined region including a region for passing through the target object. The cameras are deployed in the preset area, and can be deployed at different positions, so that multi-directional video data can be acquired. Wherein the target object may include a human body, an article, an animal, and the like. The first step characteristics refer to extracted gait characteristics from the acquired video data.
The preset gait features in the preset gait feature library are obtained by extracting the gait features in the video data of the registered user. And calculating the similarity between the first step-state feature and each preset gait feature in the preset gait feature library, judging whether the first step-state feature is matched with each preset gait feature according to the similarity to obtain a first matching result, and judging whether the user corresponding to the first matching result is a legal user.
In one embodiment, the video data includes data collected by a plurality of sensors, and identifying the target object in the video data includes: extracting target features in video data collected by various sensors at different positions; calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library; and identifying the target object corresponding to the target feature according to the similarity.
Specifically, each sensor is used for collecting video data, and each sensor is deployed at a different position, so that the video data of the target object under different directions can be collected conveniently. The arrangement of the sensor positions can be customized according to requirements, for example, one or more sensors with different angles and heights are arranged at intervals of 1 meter or 1.5 meters, and the like, and the sensors on two sides can be symmetrically arranged or asymmetrically arranged. Extracting features in the video data by adopting a common image feature extraction algorithm to obtain target features, and calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library, wherein the similarity can be calculated by a common feature similarity algorithm. The preset target feature library is a feature library containing a plurality of preset target features, wherein the target features comprise human body features, article features, animal features and the like. And selecting the similarity with the highest similarity from the similarities between the preset target features and the target features as the corresponding recognition result of the target features.
Step S203, when the user identifier corresponding to the first matching result is a legal user identifier, acquiring a first biometric characteristic corresponding to the first matching result.
Specifically, the first biometric feature refers to a preset biometric feature, and the biometric feature includes a face feature, a fingerprint feature, a palm print feature, an iris feature, and the like. The user identification is identified through the gait characteristics of the user, and when the identified user identification is legal, the first biological characteristics corresponding to the user identification are obtained. The acquired first biological characteristics are used for subsequent data verification. Wherein the first biometric characteristic comprises at least one biometric characteristic and may also comprise a plurality of biometric characteristics.
In one embodiment, the target object further comprises at least one of an article or an animal, and the target object is judged to be a legal object, so as to obtain a judgment result; when the user identification corresponding to the first matching result is legal and the judgment result is legal, executing to acquire a first biological characteristic corresponding to the first matching result; and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, acquiring first prompt information for prompting that the security check fails, and sending the first prompt information.
Specifically, it is determined whether or not the baggage and creature carried by the user contain dangerous goods, dangerous creatures, illegal goods, illegal creatures, and the like, and a determination result is obtained. If the luggage and the living things carried by the user do not contain dangerous goods, dangerous living things, illegal goods, illegal living things and the like, the judgment result is legal, otherwise, if one or more of the dangerous goods, the dangerous living things, the illegal goods, the illegal living things and the like exist, the judgment result is illegal. And when the user identification corresponding to the first matching result is legal and the judgment result is legal, executing to acquire the first biological characteristic corresponding to the first matching result. And when the user identifier corresponding to the first matching result is an illegal user identifier or the judgment result is illegal, acquiring first prompt information for prompting that the security check fails, sending the first prompt information, playing or displaying the prompt information on a preset terminal, and prompting that the security check fails. And if the voice prompt that the security check fails is played, prompting the user to walk through the manual security check channel.
In one embodiment, when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal, second prompt information for prompting that the security check is passed is obtained, and the second prompt information is sent.
Specifically, when the user identifier corresponding to the first matching result is a legal user identifier and the determination result is legal, the user passes the security check, the prompt message that the security check passes is acquired, and the prompt message, that is, the second prompt message is sent.
In one embodiment, when the user identifier corresponding to the first matching result is an illegal user identifier and/or the determination result is illegal, the illegal user identifier and/or the determination result is sent as an illegal target object.
Specifically, when the user identifier corresponding to the first matching result is an illegal user identifier, the illegal user identifier and the corresponding image information are sent to the preset terminal, and the illegal user identifier and the corresponding image information are displayed on the preset terminal. And when the judgment result is illegal, sending the illegal target object to a preset terminal, and displaying the illegal object on the preset terminal. And when the user identifier corresponding to the first matching result is an illegal user identifier and the judgment result is illegal, sending illegal information such as the illegal user identifier and/or the target object with the illegal judgment result to a preset terminal, and displaying the illegal information on the preset terminal.
And S204, receiving a second biological characteristic of the human body, wherein the second biological characteristic carries the inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result.
And S205, when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction.
In particular, the second biometric is one or more of the first biometric. And when the second biological characteristics comprise a plurality of types of biological characteristics, matching the second biological characteristics with the biological characteristics of corresponding types in the first biological characteristics to obtain matching results corresponding to all the biological characteristics, and determining a second matching result according to the matching results of all the biological characteristics. And if the first biological characteristics comprise fingerprint characteristics and palm print characteristics, and the second biological characteristics comprise fingerprint characteristics, matching the fingerprint characteristics in the second biological characteristics with the fingerprint characteristics in the first biological characteristics to obtain a fingerprint matching result. The inbound information refers to the inbound location of the user, and the inbound location may be represented by an inbound name, an inbound number, and the like.
In one embodiment, when the matching results of the respective biometrics are all successful, the second matching result is successful matching.
In another embodiment, when the matching result of any one type of biometric is a successful matching, the second matching result is a successful matching.
The opening instruction is a computer instruction for opening the gate, when the second matching result is that the matching is successful, the opening instruction is generated and sent to the controller for controlling the gate to be opened, and the controller executes the opening instruction to open the gate.
Step S206, receiving a third biological characteristic, wherein the third biological characteristic carries outbound information.
Step S207, acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
In particular, the third biometric is one or more of the first biometric. The outbound information refers to information that a user is outbound, and the outbound information can be represented by an outbound name, an outbound number and the like as well as the inbound information. And searching for the corresponding user identification according to the third biological characteristic, and searching for the corresponding inbound information corresponding to the second biological characteristic according to the searched user identification. And determining and calculating corresponding payment information according to the inbound information and the outbound information, generating a payment instruction according to the payment information and the user identification, sending the payment instruction to a corresponding payment terminal, and executing payment operation through the payment terminal. And when the payment is successful, opening the outbound gate.
In one embodiment, the first biometric characteristic includes the second biometric characteristic and a third biometric characteristic.
The safety inspection method based on gait recognition comprises the following steps: identifying a target object in video data of a preset area, and extracting first step characteristics corresponding to a human body; matching the first step state characteristic with a preset gait characteristic to obtain a first matching result; when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result; receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result; when the second matching result is that the matching is successful, generating and sending an opening instruction; receiving a third biometric characteristic, the third biometric characteristic carrying outbound information; and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating and sending a payment instruction, and improving the convenience of security check.
In a specific embodiment, as shown in fig. 3, there is provided a security check system based on gait recognition, comprising:
The gate 302 is provided with a palm print or fingerprint identification device, a display and the like.
The server 303 is provided with a gait recognition interconnection system and a biometric recognition system. The gait recognition interconnection system comprises a gait acquisition module, a gait analysis module (mainly comprising a humanoid analysis module, an animal analysis module and an article analysis module), a gait database and an identity authentication system. The biological characteristic identification system is used for identifying biological characteristics such as palm prints or fingerprints of the user after the passerby safely passes through the detection belt, and the gate is automatically opened after the passerby passes through the authentication.
The detection zone 304 is arranged in the front of the gate within a preset length range, and a laser is arranged in front of the detection zone and used for detecting whether a pedestrian enters the detection zone. Detection zone 304 includes detection zone 3041 and detection zone 3042, where detection zone 3041 is an automatic detection area and detection zone 3042 is an artificial detection area.
The terminal 305 is used for displaying pedestrian information, wherein the pedestrian information comprises a pedestrian image shot in real time and personal information corresponding to a pedestrian, an animal image and animal information, an article image and article information and the like.
A pedestrian collects video images through a detection belt, an infrared sensor, a millimeter wave sensor and other devices, and a gait recognition interconnection system analyzes the collected video images and recognizes and classifies people, animals and other articles.
The detection belt is provided with a plurality of groups of infrared cameras and scanners at different heights at intervals, so that images of complete angles which can be identified and analyzed by the gait identification interconnection system can be shot.
Camera is installed respectively at floodgate machine both sides middle part, the detection area of length is predetermine in the place ahead installation, if set up the detection area of length such as 5 meters or 6 meters, wherein the initial point is for predetermineeing the passing region in the first length within range of predetermineeing, the second after the first length of predetermineeing predetermines the detection area both sides interval set up the video acquisition equipment of highly difference, if detect area length and be 5 meters, the setting is before the floodgate machine, if for predetermineeing the passing region in the 1 meter within range, 2 nd to 5 meters detect the video image acquisition equipment that the interval set up highly difference in area both sides, wherein the position and the quantity of video image acquisition equipment's setting can be customized, if each one high one low two pillars in per meter both sides, and the pillar can set up to height-adjustable pillar.
And the pedestrian passes through the security inspection door, the display on the security inspection door displays related information according to the identification result of the gait identification interconnection system, and meanwhile, the voice interaction system carries out voice prompt.
When any one of the pedestrian or the animal or the article carried by the pedestrian does not accord with the relevant national laws and regulations, the system display displays relevant abnormal information at a preset position. The voice prompts that the security inspection is not passed and the man-made passage is asked to be subjected to further inspection, and at the moment, the gate at the back is not opened in any way. The pedestrian walks to the abnormal information processing station, a security inspection display which is synchronous with the security inspection door is arranged at the abnormal information processing station, the abnormal information is clearly displayed on the abnormal information processing station, and the special security inspection personnel further inspects the abnormal information.
In one embodiment, referring to the image 4, the image includes an animal outline image, a human body live view image, a multi-angle human body outline image and an article outline image, animal information, personal information and an article information display area, wherein the animal information includes the type, survival state and number of animals, etc., the personal information includes basic information, credit records, illegal information, etc., the normal information is displayed in the normal information area, the abnormal information is displayed in the abnormal information area, and the article also includes normal article information and abnormal article information.
When all the animals or objects carried by the pedestrians or the pedestrians accord with the relevant national laws and regulations, the system display highlights all the normal information in the normal information area (as shown in the attached drawing 4), and prompts the prompt information of passing the security inspection, please walk through a straight passage and the like for prompting the passing of the security inspection, at the moment, the pedestrians pass through the gate machine to carry out biological feature identification such as palm print or fingerprint verification and the like, and the gate is opened when the identification is passed.
The passenger can verify the passenger through the biological characteristics such as fingerprint or palm print, and the passenger can directly pay the traffic fee after the verification is passed. The problem that the mobile phone cannot normally enter or exit the subway due to loss, power failure of the mobile phone, no traffic card and the like can be solved. The traffic fee can be paid through an official traffic fee payment system of the application terminal at any time.
In a specific embodiment, the security inspection method based on gait recognition comprises the following steps:
when the pedestrian arrives at the area in front of the detection zone and the passing of the pedestrian is detected through the laser line emitted by the laser, the gait recognition interconnection system is formally started.
And carrying out image recognition and classification on the video images acquired by the video image equipment. Firstly, segmenting and identifying a pedestrian image, an animal image and an article image to obtain identified pedestrians, animals and articles, and displaying the identified information on a display in real time.
When the abnormal information is identified, the abnormal information is highlighted in a red area on the display, voice alarm prompt is carried out, pedestrians are informed to carry out deep inspection, and security inspection is informed to timely process the abnormality.
When the detected abnormal information belongs to illegal crimes, the public security department needs to control personnel in time, such as extremely dangerous persons, such as evasion, criminal suspects, carrying guns and ammunition, and the like. The specific abnormal information on the display on the security inspection door is not displayed, only the 'abnormal information' is displayed, and the voice interaction system does not report the specific abnormal information, so that the criminal is prevented from escaping. But the display on the abnormal information processing station still displays comprehensive and specific information, and the abnormal information processing station sends out an alarm prompt to prepare to inform the public security to carry out capture action at any time.
The content contained in the display interface of the security check system comprises three parts of human, animal and article. And the upper part displays the scanned image, wherein the human body image comprises two parts of a real-time live-action photo and a contour image, and the contour image comprises pictures with different angles.
As shown in fig. 4, the security check system displays the content contained in the interface. Mainly comprises three parts of human, animals and articles. And the upper part displays the scanned image, wherein the human body image comprises two parts of a real-time live-action photo and a contour image, and the contour image comprises pictures with different angles.
Referring to fig. 3, an area where an arrow 3041 is located is a detection zone area, a laser is arranged in front of the detection zone area to emit a laser line for detecting whether a pedestrian passes through, so that the whole gait recognition interconnection system is started, and automatic detection can be performed when the pedestrian normally passes through the detection zone area; a display, video acquisition equipment, voice interaction equipment and the like are arranged on the security inspection door; and the camera supporting device is also provided with detection equipment for detecting objects, such as an infrared scanner, millimeter waves and the like. Arrow 3042 is not a normal kiosk lane. The length of the detection belt, the number of the detection devices and the installation height can be specifically configured and adjusted according to the facility area and the space of the subway station, the installation and the setting are convenient, and the universality is high.
According to the gait recognition-based security inspection method, the security inspection machine and the card swiping machine (gate) are integrated into one system, so that pedestrians can pass through subway security inspection more conveniently. And need not the security check personnel and adopt the manual scanning of security check instrument, the accurate pedestrian, animal, article detect and categorised the demonstration, use manpower and materials cost sparingly, improve security check efficiency. And the biological characteristics such as palm prints or fingerprints are adopted for payment, so that the trouble caused by card loss or mobile phone loss can be avoided, and the payment is simpler and more efficient. Confirm pedestrian's identity etc. through gait discernment interconnected system, can the silence identify criminal, facilitate for striking illegal criminal action.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 5, there is provided a security inspection apparatus 200 based on gait recognition, including:
the feature extraction module 201 is configured to acquire video data in a preset region, identify a target object in the video data, where the target object includes a human body, and extract a first step feature corresponding to the human body.
The first matching module 202 is configured to match the first step characteristics with each preset gait characteristic in a preset gait characteristic library to obtain a first matching result.
The first biometric obtaining module 203 is configured to obtain a first biometric corresponding to the first matching result when the user identifier corresponding to the first matching result is a legal user identifier.
And the second matching module 204 is configured to receive a second biological characteristic of the human body, where the second biological characteristic carries the inbound information, and match the second biological characteristic with the first biological characteristic to obtain a second matching result.
And the opening module 205 is configured to generate an opening instruction for opening the gate and send the opening instruction when the second matching result is that the matching is successful.
A third biometric receiving module 206, configured to receive a third biometric, where the third biometric carries outbound information.
The payment module 207 is configured to acquire a second biological characteristic corresponding to the third biological characteristic, calculate payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generate a payment instruction, and send the payment instruction.
In an embodiment, the security inspection apparatus 200 based on gait recognition further includes:
and the legality judging module is used for judging that the target object is a legal object and obtaining a judging result, and the target object also comprises at least one of an article or an animal.
The first biological characteristic obtaining module is further configured to execute obtaining of a first biological characteristic corresponding to the first matching result when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal.
And the first prompt module is used for acquiring first prompt information for prompting that the security check fails when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, and sending the first prompt information.
In an embodiment, the security inspection apparatus 200 based on gait recognition further includes:
and the second prompting module is used for acquiring second prompting information for prompting that the security check is passed when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal, and sending the second prompting information.
In an embodiment, the security inspection apparatus 200 based on gait recognition further includes:
and the display module is used for sending the illegal user identification or the judgment result as an illegal target object when the user identification corresponding to the first matching result is the illegal user identification and/or the judgment result is illegal.
In one embodiment, the feature extraction module 201 is specifically configured to extract target features in video data acquired by various sensors located at different positions; calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library; and identifying the target object corresponding to the target feature according to the similarity.
FIG. 6 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be the video capture apparatus 110 (or the computer device 120) in fig. 1. As shown in fig. 6, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected via a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement a security check method based on gait recognition. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform a security check method based on gait recognition. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the security inspection apparatus based on gait recognition provided by the present application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 6. The memory of the computer device may store various program modules constituting the gait recognition-based security inspection apparatus, such as the feature extraction module 201, the first matching module 202, the first biometric acquisition module 203, the second matching module 204, the opening module 205, the third biometric receiving module 206 and the payment module 207 shown in fig. 5. The program modules constitute computer programs to make the processor execute the steps of the security inspection method based on gait recognition in the embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 6 may perform acquiring video data in a preset area through the feature extraction module 201 in the security inspection apparatus based on gait recognition shown in fig. 5, recognize a target object in the video data, where the target object includes a human body, and extract a first step feature corresponding to the human body. The computer device may perform matching of the first step characteristics with each preset gait characteristic in the preset gait characteristic library through the first matching module 202 to obtain a first matching result. The computer device may execute, by the first biometric obtaining module 203, obtaining the first biometric corresponding to the first matching result when the user identifier corresponding to the first matching result is a valid user identifier. The computer device can receive a second biological characteristic of the human body through the second matching module 204, the second biological characteristic carries the inbound information, and the second biological characteristic is matched with the first biological characteristic to obtain a second matching result. The computer device may execute, by the opening module 205, when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction. The computer device may perform receiving a third biometric via the third biometric receiving module 206, the third biometric carrying the outbound information. The computer device can acquire a second biological characteristic corresponding to the third biological characteristic through the payment module 207, calculate payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generate a payment instruction, and send the payment instruction.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body; matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result; when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result; receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result; when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction; receiving a third biometric characteristic, the third biometric characteristic carrying outbound information; and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
In one embodiment, the target object further comprises at least one of an article or an animal, the processor when executing the computer program further performs the steps of: judging that the target object is a legal object to obtain a judgment result; when the user identification corresponding to the first matching result is legal and the judgment result is legal, executing to acquire a first biological characteristic corresponding to the first matching result; and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, acquiring first prompt information for prompting that the security check fails, and sending the first prompt information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal, acquiring second prompt information for prompting that the security check is passed, and sending the second prompt information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, sending the illegal user identifier or the judgment result to be an illegal target object.
In one embodiment, the video data includes data collected by a plurality of sensors, and identifying the target object in the video data includes: extracting target features in video data collected by various sensors at different positions; calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library; and identifying the target object corresponding to the target feature according to the similarity.
In one embodiment, the first, second and third biometric features are the same biometric feature, the biometric features including fingerprint features, face features, palm print features, gait features and iris features.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body; matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result; when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result; receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result; when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction; receiving a third biometric characteristic, the third biometric characteristic carrying outbound information; and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
In one embodiment, the target object further comprises at least one of an article or an animal, the computer program when executed by the processor further implementing the steps of: judging that the target object is a legal object to obtain a judgment result; when the user identification corresponding to the first matching result is legal and the judgment result is legal, executing to acquire a first biological characteristic corresponding to the first matching result; and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, acquiring first prompt information for prompting that the security check fails, and sending the first prompt information.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal, acquiring second prompt information for prompting that the security check is passed, and sending the second prompt information.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, sending the illegal user identifier or the judgment result to be an illegal target object.
In one embodiment, the video data includes data collected by a plurality of sensors, and identifying the target object in the video data includes: extracting target features in video data collected by various sensors at different positions; calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library; and identifying the target object corresponding to the target feature according to the similarity.
In one embodiment, the first, second and third biometric features are the same biometric feature, the biometric features including fingerprint features, face features, palm print features, gait features and iris features.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A safety inspection method based on gait recognition is characterized by comprising the following steps:
acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step characteristics corresponding to the human body;
matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result;
when the user identification corresponding to the first matching result is a legal user identification, acquiring a first biological characteristic corresponding to the first matching result;
receiving a second biological characteristic of the human body, wherein the second biological characteristic carries inbound information, and matching the second biological characteristic with the first biological characteristic to obtain a second matching result;
when the second matching result is that the matching is successful, generating an opening instruction for opening the gate, and sending the opening instruction;
receiving a third biometric characteristic, the third biometric characteristic carrying outbound information;
and acquiring a second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction, and sending the payment instruction.
2. The method of claim 1, wherein the target object further comprises at least one of an item or an animal, the method further comprising:
judging that the target object is a legal object to obtain a judgment result;
when the user identification corresponding to the first matching result is legal and the judgment result is legal, executing to acquire a first biological characteristic corresponding to the first matching result;
and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, acquiring first prompt information for prompting that the security check fails, and sending the first prompt information.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
and when the user identification corresponding to the first matching result is a legal user identification and the judgment result is legal, acquiring second prompt information for prompting that the security check is passed, and sending the second prompt information.
4. The method of claim 2, further comprising:
and when the user identifier corresponding to the first matching result is an illegal user identifier and/or the judgment result is illegal, sending the illegal user identifier and/or the judgment result as an illegal target object.
5. The method of claim 1 or 2, wherein the video data comprises data collected by a plurality of sensors, and wherein identifying a target object in the video data comprises:
extracting target features in video data collected by the sensors at different positions;
calculating the similarity between the target features in each video data and each preset target feature in a preset target feature library;
and identifying the target object corresponding to the target feature according to the similarity.
6. The method of claim 1, wherein the first biometric characteristic comprises a second biometric characteristic and a third biometric characteristic.
7. A security inspection device based on gait recognition, characterized in that the device comprises:
the characteristic extraction module is used for acquiring video data in a preset area, identifying a target object in the video data, wherein the target object comprises a human body, and extracting first step-state characteristics corresponding to the human body;
the first matching module is used for matching the first step-state features with each preset gait feature in a preset gait feature library to obtain a first matching result;
the first biological characteristic acquisition module is used for acquiring a first biological characteristic corresponding to the first matching result when the user identifier corresponding to the first matching result is a legal user identifier;
the second matching module is used for receiving a second biological characteristic of the human body, wherein the second biological characteristic carries the inbound information, and the second biological characteristic is matched with the first biological characteristic to obtain a second matching result;
the opening module is used for generating an opening instruction for opening the gate and sending the opening instruction when the second matching result is that the matching is successful;
the third biological characteristic receiving module is used for receiving a third biological characteristic, and the third biological characteristic carries outbound information;
and the payment module is used for acquiring the second biological characteristic corresponding to the third biological characteristic, calculating payment information according to the inbound information of the second biological characteristic and the outbound information of the third biological characteristic, generating a payment instruction and sending the payment instruction.
8. The apparatus of claim 1, further comprising:
the legality judging module is used for judging that the target object is a legal object to obtain a judging result, and the target object further comprises at least one of articles or animals;
the first biological characteristic obtaining module is further configured to execute obtaining of a first biological characteristic corresponding to the first matching result when the user identifier corresponding to the first matching result is a legal user identifier and the judgment result is legal;
and the first prompt module is used for acquiring first prompt information for prompting that the security check fails when the first matching result is that the corresponding user identifier is an illegal user identifier and/or the judgment result is illegal, and sending the first prompt information.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 6 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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