CN112702563B

CN112702563B - Subscription method, device and system for student behavior under campus scene

Info

Publication number: CN112702563B
Application number: CN201911010192.3A
Authority: CN
Inventors: 陈显炉; 李建文
Original assignee: Shenzhen Intellifusion Technologies Co Ltd
Current assignee: Shenzhen Intellifusion Technologies Co Ltd
Priority date: 2019-10-23
Filing date: 2019-10-23
Publication date: 2023-08-01
Anticipated expiration: 2039-10-23
Also published as: CN112702563A

Abstract

A subscription method, device and system for student behavior under campus scene, the method comprises: acquiring unique identity information of a student and a student behavior subscription request of a specified time period, wherein the unique identity information comprises the student and is sent by user equipment; traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in a campus scene according to the face characteristics of students matched with the unique identity information of the students; each monitoring video picture comprises a personal image of the student, and the personal image comprises the face characteristics of the student; sequencing a plurality of monitoring video pictures according to the sequence of acquisition time from first to last to obtain a monitoring video picture sequence; acquiring each target video picture with the acquisition time within the designated time from the monitoring video picture sequence; and splicing all target video pictures into student behavior expression videos in sequence according to the acquisition time from first to last, and sending the student behavior expression videos to user equipment. The efficiency of obtaining student performance of certain students in the campus can be improved.

Description

Subscription method, device and system for student behavior under campus scene

Technical Field

The present invention relates to the field of network technologies, and in particular, to a subscription method, device, and system for student performance in a campus scenario.

Background

In recent years, a campus accident (such as campus spoofing) occurs, and after the campus accident occurs, a teacher or a guardian (such as a parent) can only review student behavior of related students in the campus accident on a monitoring video stored in the school (such as a monitoring video stored in a server of the school).

In practice, it is found that when the monitoring videos stored in the school are more, it is time-consuming and laborious for a teacher or guardian to review the student performance of some students on the monitoring videos stored in the school, thereby reducing the efficiency of acquiring the student performance of some students in the campus.

Disclosure of Invention

The embodiment of the application discloses a subscription method, device and system for student behavior performances in a campus scene, which can improve the efficiency of acquiring the student behavior performances of certain students in the campus.

An embodiment of the present application in a first aspect discloses a subscription method for student performance in a campus scenario, where the method includes:

acquiring a student performance subscription request sent by user equipment, wherein the student performance subscription request comprises unique identity information of a student and a designated time period;

Traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student;

sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; acquiring each target video picture from the monitoring video picture sequence, wherein the acquisition time of each target video picture is within the appointed time;

and splicing the target video pictures into student behavior expression videos of the students in sequence according to the acquisition time from first to last, and sending the student behavior expression videos to the user equipment.

As an optional implementation manner, in the first aspect of the embodiment of the present application, after the sorting the plurality of monitoring video frames according to the order of the acquisition time from first to last, and before each target video frame is acquired from the monitoring video frame sequence, the method further includes:

Inquiring whether a bad record of the student violating campus regulations is recorded in a preset bad record registry of the student according to the unique identity information of the student, and if not, determining a preset minimum video picture extraction threshold;

the obtaining each target video picture from the monitoring video picture sequence comprises the following steps:

and extracting all target video pictures with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence.

As another optional implementation manner, in the first aspect of the embodiment of the present application, the method further includes:

if the bad records recorded with the student violating campus regulations are inquired from the preset student bad record registry, determining a target bad record from the bad records; wherein a time difference between a time point when the campus rule is violated and a current time point recorded in the target bad record is minimum;

determining a threshold increase in inverse proportion to the time difference;

acquiring an accumulated value of the preset minimum video picture extraction threshold and the threshold increment as a current video picture extraction threshold;

and extracting all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence.

if the bad records recorded with the student violating campus regulations are inquired from the preset student bad record registry, counting the total number of records in the bad records;

determining a current video picture extraction threshold value in direct proportion to the total number of records;

As another optional implementation manner, in the first aspect of the embodiment of the present application, after the obtaining a student performance subscription request sent by the user equipment, the method further includes:

identifying whether the student belongs to a student allowed to enter the campus according to the unique identity information of the student;

Searching whether the face features of the student matched with the unique identity information of the student are stored if the student belongs to the student allowed to enter the campus;

if the face characteristics of the students matched with the unique identity information of the students are stored, judging whether the appointed time period is matched with a value time period of the students in the campus, which is preset and configured;

and if the appointed time period is matched with the preset value time period of the student in the campus, executing the step of traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student.

In a first aspect of the embodiment of the present application, the manner in which the subscribing device sequentially splices each target video frame into the student behavior video of the student in order of acquisition time from first to last includes:

1) The subscribing device identifies the face area of the student from each target video picture x according to the face characteristics of the student;

2) The subscribing device identifies the distance l of the student relative to the lens of the image acquisition device y which shoots the target video picture x according to the size of the area of the face area;

3) The subscribing device identifies the direction f of the student relative to the lens of the image acquisition device y which shoots the target video picture x according to the position of the area of the face area in the target video picture x;

4) The subscribing device determines an instant three-dimensional coordinate e of the student when the image acquisition device y acquires the target video picture x according to a known three-dimensional coordinate of the lens of the image acquisition device y which shoots the target video picture x, a distance l of the student relative to the lens of the image acquisition device y which shoots the target video picture x and a direction f of the student relative to the lens of the image acquisition device y which shoots the target video picture x;

5) The subscribing device carries out grade evaluation on the instant behavior of the student when the image acquisition device y acquires the target video picture x according to the personal image of the student in the target video picture x, and an instant behavior grade f is obtained;

6) The subscribing device superimposes the instant three-dimensional coordinates e of the students and the grade marks (such as excellent or medium or poor) of the instant performance grade f with the target video picture x to form a target video picture to be spliced;

7) And the subscribing equipment sequentially splices all the target video pictures to be spliced into the student behavior representation video of the student according to the sequence of acquisition time from first to last.

A second aspect of the embodiments of the present application discloses a subscription apparatus for student performance in a campus scenario, the apparatus including:

the first acquisition unit is used for acquiring a student performance subscription request sent by a user, wherein the student performance subscription request comprises unique identity information of a student and a designated time period;

the traversing unit is used for traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student;

the first ordering unit is used for ordering the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence;

The second acquisition unit is used for acquiring each target video picture from the monitoring video picture sequence, and the acquisition time of each target video picture is within the appointed time;

the second ordering unit is used for sequentially splicing all the target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last;

and the interaction unit is used for sending the student behavior representation video to the user equipment.

As an optional implementation manner, in a second aspect of the embodiment of the present application, the apparatus further includes:

the inquiring unit is used for inquiring whether the bad records of the students, which violate campus regulations, are recorded in a preset bad record register of the students according to the unique identity information of the students after the first ordering unit orders the monitoring video pictures according to the order of the acquisition time from first to last to obtain a monitoring video picture sequence, and determining a preset minimum video picture extraction threshold value if the bad records of the students, which violate campus regulations, are not recorded;

the second obtaining unit is specifically configured to extract, from the monitoring video picture sequence, each target video picture whose total number of video pictures is equal to the minimum video picture extraction threshold.

the first determining unit is used for determining a target bad record from the bad records when the first querying unit queries that the bad records of the students violating campus regulations are recorded in the preset bad record registry of the students; wherein a time difference between a time point when the campus rule is violated and a current time point recorded in the target bad record is minimum; and determining a threshold increase in inverse proportion to the time difference;

a third obtaining unit, configured to obtain, as a current video frame extraction threshold, an accumulated value of the preset minimum video frame extraction threshold and the threshold increment;

the second obtaining unit is specifically configured to extract, from the monitoring video picture sequence, each target video picture whose total number of video pictures is equal to the current video picture extraction threshold.

the statistics unit is used for counting the total number of records in the bad records when the first query unit queries the bad records recorded with the student violating campus rule from the preset student bad record registry;

A second determining unit for determining a current video picture extraction threshold value in direct proportion to the total number of records; the video picture extraction threshold value is larger than the preset minimum video picture extraction threshold value;

As an optional implementation manner, in a second aspect of the embodiment of the present application, the subscription device further includes:

the identifying unit is used for identifying whether the student belongs to the student allowed to enter the campus according to the unique identity information of the student after the first acquiring unit acquires the student performance subscription request sent by the user equipment;

a search unit configured to search whether face features of the student that match with unique identity information of the student have been stored when the recognition unit recognizes that the student belongs to a student permitted to be entered into the campus;

the judging unit is used for judging whether the appointed time period is matched with a value time period of the student in the campus, which is preset to be configured, when the searching unit searches the face characteristics of the student which are stored and matched with the unique identity information of the student;

The traversing unit is specifically configured to traverse, when the determining unit determines that the specified time period matches a preset configured time period on duty of the student in the campus, a plurality of monitoring video frames from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to face features of the student matching with unique identity information of the student.

The third aspect of the embodiment of the application discloses a subscription system for student behavior under campus scene, the system comprises user equipment and subscription equipment, wherein:

the user equipment is used for sending a student performance subscription request to the subscription equipment, wherein the student performance subscription request comprises unique identity information of a student and a specified time period;

the subscription equipment is used for acquiring the student performance subscription request sent by the user equipment; according to the face characteristics of the students matched with the unique identity information of the students, traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student; and sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; acquiring each target video picture from the monitoring video picture sequence, wherein the acquisition time of each target video picture is within the appointed time; sequentially splicing the target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last, and sending the student behavior expression videos to the user equipment;

The user equipment is further used for acquiring student behavior video of the students, which is sent by the subscription equipment.

The fourth aspect of the present application discloses a subscription device for student performance in a campus scenario, where the subscription device includes:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the steps of the subscription method disclosed in the first aspect of the embodiment of the present application.

A fifth aspect of the embodiments of the present application discloses a computer-readable storage medium, where computer instructions are stored on the computer-readable storage medium, to perform the steps of the subscription method disclosed in the first aspect of the embodiments of the present application.

Compared with the prior art, the embodiment of the application has the following beneficial effects:

in the embodiment of the application, a student performance subscription request sent by a user is obtained, wherein the student performance subscription request comprises unique identity information of a student and a specified time period; traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student; sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; acquiring each target video picture from the monitoring video picture sequence, wherein the acquisition time of each target video picture is within the appointed time; and splicing the target video pictures into student behavior expression videos of the students in sequence according to the acquisition time from first to last, and sending the student behavior expression videos to the user equipment. Therefore, by implementing the embodiment of the application, a teacher or guardian does not need to look up the student behavior of some students on the monitoring video stored in the school, which is time-consuming and labor-consuming, and can subscribe the student behavior of some students, thereby being beneficial to improving the efficiency of acquiring the student behavior of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flow chart of a subscription method for student performance in a campus scenario disclosed in the embodiments of the present application;

FIG. 2 is a flowchart of a subscription method for student performance in another campus scenario disclosed in the embodiments of the present application;

FIG. 3 is a flowchart of a subscription method for student performance in another campus scenario disclosed in the embodiments of the present application;

fig. 4 is a schematic structural diagram of a subscription device for student performance in a campus scenario disclosed in the embodiments of the present application;

FIG. 5 is a schematic diagram of a subscription apparatus for student performance in another campus scenario disclosed in embodiments of the present application;

FIG. 6 is a schematic diagram of a subscription apparatus for student performance in yet another campus scenario disclosed in embodiments of the present application;

FIG. 7 is a schematic structural diagram of a subscription apparatus for student performance in yet another campus scenario disclosed in embodiments of the present application;

FIG. 8 is a schematic structural diagram of a subscription system for student performance in a campus scenario disclosed in the embodiments of the present application;

fig. 9 is a schematic structural diagram of a subscription device for student performance in still another campus scenario disclosed in the embodiments of the present application.

Detailed Description

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

It should be noted that the terms "comprises" and "comprising," along with any variations thereof, in the embodiments of the present application are intended to cover non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed.

The embodiment of the application discloses a subscription method, device, system and storage medium for student behavior performances under a campus scene, which can improve the efficiency of acquiring the student behavior performances of certain students in the campus. The following detailed description is made with reference to the accompanying drawings.

Referring to fig. 1, fig. 1 is a flow chart of a subscription method for student behavior in a campus scenario disclosed in an embodiment of the present application. Wherein the subscription method depicted in fig. 1 is described from the perspective of subscribing devices. In this embodiment of the present application, the subscription device may include a monitoring platform (such as a video cloud monitoring platform) and a server that are disposed in a campus in physical implementation, which is not limited in this embodiment of the present application. As shown in fig. 1, the subscription method may include the steps of:

101. the subscription equipment acquires a student performance subscription request sent by the user equipment, wherein the student performance subscription request comprises unique identity information of a student and a specified time period.

In some embodiments, the unique identity information of the student may be an identification card number of the student; alternatively, the unique identity information of the student may be a combination of the student's name and number; or, the unique identity information of the student may be a combination of the student's name, class number, grade, and school name; the embodiments of the present application are not limited.

In some embodiments, the specified time period may be a historical time period or an unreachable time period. For example, the specified time period may be the entire school time period (e.g., 08:00-16:00) specified by a school day; alternatively, the specified time period may be a specific class time period in the whole school time period (e.g. 08:00-16:00) specified by a certain daily school, for example, a class time period of a certain class (e.g. 1 st section Chinese class 08:00-8:45); still alternatively, the specified time period may be a specific activity or competition time period in the whole school time period (e.g. 08:00-16:00) specified by a certain daily school, such as an inter-class activity time period (e.g. 08:45-09:00), a concert competition time period (e.g. 8:00-10:30 and 14:00-16:00); alternatively, the specified time period may be a value time period (e.g., 08:00-16:00) of the student in an entire school time period (e.g., 08:00-16:00) specified by a certain daily school; the embodiments of the present application are not limited.

In some embodiments, the user device may be an electronic device (e.g., a cell phone, tablet, personal computer, etc.) used by a teacher or a guardian (e.g., a parent).

102. The subscribing device traverses a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student.

In some embodiments, the subscription device may first obtain face features of the student, which are matched with unique identity information of the student, from a student face feature library set in the school, and then traverse a plurality of monitoring video frames from a set of monitoring videos collected by a plurality of image collection devices (such as cameras) distributed in the campus scene; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student. It will be appreciated that the plurality of image capturing devices (e.g., cameras) distributed within the campus scene include not only image capturing devices distributed indoors (e.g., classroom) but also image capturing devices distributed outdoors (e.g., corridor, playground, road). It will be appreciated that the personal image of the student includes not only the student's face (the student's face area includes the student's face features), but also the student's torso (e.g., part or all) and/or limbs (e.g., part or all), thereby making the student's personal image suitable for analyzing the student's learning performance (e.g., playing a frame).

103. The subscription equipment sorts the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; and acquiring each target video picture from the monitoring video picture sequence, wherein the acquisition time of each target video picture is within the appointed time.

104. And the subscribing equipment sequentially splices all target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last and sends the student behavior expression videos to the user equipment.

In some embodiments, the manner in which the subscribing device sequentially splices each target video frame into the student behavior video of the student according to the sequence of the acquisition time from the beginning to the end may include the following steps:

1) The subscribing device identifies the face area of the student from each target video picture x according to the face characteristics of the student aiming at each target video picture x in each target video picture;

2) The subscribing device identifies the distance l of the student relative to the lens of the image acquisition device y shooting the target video picture x according to the size of the area of the face area;

3) The subscribing device identifies the direction f of the student relative to the lens of the image acquisition device y shooting the target video picture x according to the position of the area of the face area in the target video picture x;

4) The subscribing device determines an instant three-dimensional coordinate e of the student when the image acquisition device y acquires the target video picture x according to the known three-dimensional coordinate of the lens of the image acquisition device y which shoots the target video picture x, the distance l of the student relative to the lens of the image acquisition device y which shoots the target video picture x and the direction f of the student relative to the lens of the image acquisition device y which shoots the target video picture x;

6) The subscribing device superimposes the instant three-dimensional coordinates e of the students and the grade marks (such as the advantages) of the instant performance grade f with the target video picture x to form a target video picture to be spliced;

The steps 1) to 7) are implemented, so that a user of the user equipment can not only know the student behavior of the student in each video picture finely, but also know the places of the campus where the student makes the learning behavior in each video picture finely, thereby realizing the fine understanding of the student behavior and improving the user experience of the user equipment.

Therefore, implementing the subscription method described in fig. 1, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and labor-consuming, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of acquiring the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

In addition, by implementing the subscription method described in fig. 1, the student behavior can be known in a fine manner, and the user experience of the user equipment is improved.

Referring to fig. 2, fig. 2 is a flow chart of a subscription method of student behavior in another campus scenario disclosed in the embodiment of the present application. The subscription method depicted in fig. 2 is depicted from two perspectives of a user device and a subscription device. As shown in fig. 2, the subscription method may include the steps of:

201. the user device detects unique identity information of the student and a specified time period input by the user on a student performance subscription interface provided by an application program started by the user device.

202. The user equipment detects a student behavior subscription request sending instruction input by a user.

203. And the user sends an instruction according to the student performance subscription request, and sends a student performance subscription request to the subscription device, wherein the student performance subscription request comprises unique identity information of the student and a designated time period.

In some embodiments, the student performance subscription request may also carry user identity information for the user device, which may include a user name or unique account information for the user to log into the application.

205. The subscribing device identifies whether the student belongs to the student allowed to enter the campus according to the unique identity information of the student, and if the student belongs to the student allowed to enter the campus, step 206 is executed; if the student does not belong to the student allowed to enter the campus, ending the process.

206. The subscribing device searches whether the face characteristics of the student matched with the unique identity information of the student are stored or not; if the face feature of the student matching the unique identity information of the student has been stored, step 207 is performed; if the face characteristics of the student matched with the unique identity information of the student are not stored, ending the process.

207. The subscribing device judges whether the appointed time period is matched with a value time period of the student in the campus, which is preset to be configured; if the specified time period is matched with the preset value time period of the student in the campus, executing the steps 208-210; if the appointed time period is not matched with the preset value time period of the student in the campus, ending the process.

Because the number of students in the campus scene is generally large, the steps 201 to 207 are implemented, so that the subscribing device can accurately execute the steps 208 to 210, thereby reducing the workload of the subscribing device.

In some application scenarios, a teacher or guardian is more concerned about the learning behavior of a student in a time period on duty in the campus, and whether the work of the student is active or not and whether the cooperation relationship between the student and other students is harmonious or not can be analyzed through the learning behavior of the student in the time period on duty in the campus.

In some embodiments, the student performance subscription request may also carry user identity information of the user device, as described below in step 203 above; accordingly, after the subscription device determines that the specified time period is matched with the value time period of the student in the campus and before executing steps 208 to 210, the following steps may be further executed:

The subscribing device determines the device identification (such as the teacher account number of the student management application logged in by the teacher mobile phone) of the teacher device of the student's executive or tutor mapped with the face feature of the student according to the face feature of the student;

the subscription equipment sends a verification request to the teacher equipment according to the equipment identifier of the teacher equipment, wherein the verification request comprises unique identity information of the student and user identity information of the user equipment;

the subscribing device executes steps 208-210 after receiving the verification passing response sent by the teacher device; and the teacher equipment sends the verification passing response to the subscription equipment under the condition that the teacher confirms that the unique identity information of the student and the user identity information of the user equipment have a legal matching relationship between the guardian and the guardian.

According to the implementation method, the non-guardian can be prevented from subscribing the student behavior manifestations of other students to the subscription equipment in a wantonly or maliciously mode, so that the workload of the subscription equipment is reduced, malicious leakage of the student behavior manifestations can be prevented, and psychological injury is caused to the students.

208. The subscribing device traverses a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student.

209. And the subscription equipment sorts the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence.

210. The subscribing device inquires whether the bad records of the students, which violate campus regulations, are recorded in a preset bad record registry of the students according to the unique identity information of the students, and if not, the subscribing device executes the steps 211 to 212; if so, steps 213 to 218 are performed.

211. The subscribing device determines a preset minimum video picture extraction threshold.

212. The subscribing device extracts all target video pictures with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence, and the acquisition time of all the target video pictures is within the appointed time; and, jumping to execute steps 217 to 218.

The implementation of steps 211 to 212 can reduce the number of target video frames sent to the user equipment, thereby being beneficial to improving the data transmission efficiency between the subscription equipment and the user equipment, and further being beneficial to improving the efficiency of the user equipment for obtaining the student behavior video.

213. The subscribing device determines a target bad record from the bad records; the time difference between the time point when the campus rule is violated and the current time point recorded in the target bad record is minimum.

214. The subscribing device determines a threshold increase in inverse proportion to the time difference.

It will be appreciated that when the time difference is greater, the longer the time interval that the student did not violate the campus rules (i.e., the longer the student's last time violated the campus rules was from the current time), the smaller the threshold increase accordingly; conversely, when the time difference is smaller, the shorter the time interval in which the student violates the campus rule is indicated (i.e., the shorter the time when the student last violates the campus rule is from the current time), and accordingly the greater the threshold increment.

215. The subscribing device obtains a preset minimum video picture extraction threshold value and an accumulated value of the threshold value increment as a current video picture extraction threshold value.

216. The subscribing device extracts all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence, and the acquisition time of all the target video pictures is within the appointed time.

The steps 213 to 216 may be performed to adaptively obtain a current video frame extraction threshold, where the current video frame extraction threshold is smaller when the time of the student's last violation of the campus rule is longer than the current time, and the current video frame extraction threshold is larger when the time of the student's last violation of the campus rule is shorter than the current time; in particular, for a student whose time distance from the current time is shorter when the campus rule is violated last time, a teacher or a guardian needs to be stressed to know the student behavior of the student, and at this time, the preset minimum video picture extraction threshold is correspondingly increased to obtain a larger current video picture extraction threshold, so that more target video pictures of the student can be extracted, and the number of target video pictures of the student sent to user equipment of the teacher or guardian can be increased, thereby being more beneficial to analyzing the student behavior.

217. The subscribing device sequentially splices all target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last.

218. And the user equipment acquires the student behavior video sent by the subscription equipment.

Therefore, implementing the subscription method described in fig. 2, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and labor-consuming, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of acquiring the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

In addition, by implementing the subscription method described in fig. 2, the non-guardian can be prevented from subscribing the subscription device with the student behavior of other students, which is wantonly or maliciously, so that the workload of the subscription device is reduced, and malicious leakage of the student behavior is prevented, so that psychological injury is caused to the students.

Referring to fig. 3, fig. 3 is a flowchart of a subscription method for student performance in another campus scenario disclosed in an embodiment of the present application. The subscription method depicted in fig. 3 is described from two perspectives of a user device and a subscription device. As shown in fig. 3, the subscription method may include the steps of:

301. The user equipment acquires a student behavior representation subscription interface sent by the subscription equipment.

In some implementations, the manner in which the subscribing device sends the student performance subscription interface to the user device can include the steps of:

the subscription equipment acquires student performance subscription suggestions sent by teacher equipment, wherein the student performance subscription suggestions comprise unique identity information of students and user identity information of user equipment; the relationship between the student and the user to which the user identity information belongs is a matching relationship between a guardian and a guardian; the student may be a student with poor learning performance or violating campus regulations;

and the subscription equipment sends the student behavior subscription interface to the user equipment according to the user identity information of the user equipment.

By implementing the embodiment, the student performance subscription interface can be actively sent to the user equipment, so that the user experience of the user equipment can be improved, and the user equipment can be prevented from being down caused by spontaneously sending the student performance subscription request.

302. The user device detects unique identity information of the student entered by the user on the student performance subscription interface and specifies a time period.

303. The user equipment detects a student behavior subscription request sending instruction input by a user.

304. And the user sends an instruction according to the student performance subscription request, and sends a student performance subscription request to the subscription device, wherein the student performance subscription request comprises unique identity information of the student and a designated time period.

305. The subscribing device obtains the student behavior subscription request sent by the user device.

306. The subscribing device identifies whether the student belongs to the student allowed to enter the campus according to the unique identity information of the student, and if the student belongs to the student allowed to enter the campus, step 307 is executed; if the student does not belong to the student allowed to enter the campus, ending the process.

307. The subscribing device searches whether the face characteristics of the student matched with the unique identity information of the student are stored or not; if the face feature of the student matching the unique identity information of the student has been stored, step 308 is performed; if the face characteristics of the student matched with the unique identity information of the student are not stored, ending the process.

308. The subscribing device judges whether the appointed time period is matched with a value time period of the student in the campus, which is preset to be configured; if the specified time period is matched with the preset value time period of the student in the campus, executing the steps 309-311; if the appointed time period is not matched with the preset value time period of the student in the campus, ending the process.

In this embodiment, the steps 301 to 308 may be replaced with the steps 201 to 208 in the previous embodiment, and the same effect may be achieved.

309. The subscribing device traverses a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student.

310. And the subscription equipment sorts the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence.

311. The subscribing device inquires whether the bad records of the students, which violate campus regulations, are recorded in a preset bad record registry of the students according to the unique identity information of the students, and if not, the subscribing device executes the steps 312 to 313; if so, steps 314-318 are performed.

312. The subscribing device determines a preset minimum video picture extraction threshold.

313. The subscribing device extracts each target video picture with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence, the acquisition time of each target video picture is within the designated time, and jumps to execute the steps 317 to 318.

314. The subscribing device counts the total number of records in the bad records.

315. The subscribing device determines a current video picture extraction threshold value in direct proportion to the total number of records; wherein when the video picture extraction threshold is greater than the minimum video picture extraction threshold.

316. The subscribing device extracts all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence, and the acquisition time of all the target video pictures is within the appointed time.

The steps 314 to 315 may be performed to adaptively obtain a current video frame extraction threshold, where the greater the current video frame extraction threshold is when the student violates more bad records specified by the campus, the less the current video frame extraction threshold is when the student violates less bad records specified by the campus; in particular, for students with more bad records violating campus regulations, a teacher or a guardian needs to know the student performance of the student with emphasis, and at this time, a corresponding current video picture extraction threshold value greater than a preset minimum video picture extraction threshold value is obtained, so that more target video pictures of the student can be extracted, so that the number of target video pictures of the student sent to user equipment of the teacher or guardian is more, and analysis of the student performance is facilitated.

317. The subscribing device sequentially splices all target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last.

318. And the user equipment acquires the student behavior video sent by the subscription equipment.

In some implementations, after the subscribing device sends the student performance video to the user device, the subscribing device can further perform the steps of:

the subscription device identifies whether the user device is a teacher device, if so, determines a teacher virtual resource pool corresponding to the teacher device according to user identity information (i.e. teacher identity information) of the user device, wherein the number of virtual resources (such as virtual red flags, virtual pentagram and the like) in the teacher virtual resource pool changes inversely proportionally with the change of the number of times that students of a class for which the teacher device belongs to violate campus regulations, for example, the number of times that students of the class for which the teacher device belongs to violate campus regulations increases relative to the last period, and then the number of virtual resources (virtual red flags, virtual pentagram and the like) in the teacher virtual resource pool is reduced; and the number of times that students of the class for which the teacher device belongs violates the campus regulation is reduced relative to the previous period, the number of virtual resources (virtual red flags, virtual pentagram and the like) in the virtual resource pool of the teacher is increased, so that the students in the class are stimulated to violate the campus regulation as little as possible.

Further, if the subscription device identifies that the user device is not the teacher device but the guardian device, the subscription device may determine, according to user identity information (i.e., guardian identity information) of the user device, a guardian virtual resource pool corresponding to the user device, where the number of virtual resources (such as virtual coins and the like) in the guardian virtual resource pool decreases with the increase of the number of times that the user device subscribes to learning behavior of the student, and when the number of virtual resources in the guardian virtual resource pool is insufficient, the subscription device may remind the user device to recharge the virtual resource pool.

Therefore, implementing the subscription method described in fig. 3, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and labor-consuming, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of acquiring the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

In addition, by implementing the subscription method described in fig. 3, the student performance subscription interface can be actively sent to the user equipment, so that the user experience of the user equipment can be improved, and the user equipment can be prevented from being downtime caused by spontaneously sending the student performance subscription request.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a subscription device for student performance in a campus scenario according to an embodiment of the present application. As shown in fig. 4, the subscribing device may include:

a first obtaining unit 401, configured to obtain a student performance subscription request sent by a user device, where the student performance subscription request includes unique identity information of a student and a specified time period;

a traversing unit 402, configured to traverse a plurality of monitoring video frames from a set of monitoring videos collected by a plurality of image collecting devices distributed in the campus scene according to face features of the student matched with unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student;

a first ordering unit 403, configured to order the plurality of monitoring video frames according to a sequence of acquisition time from first to last, so as to obtain a monitoring video frame sequence;

A second obtaining unit 404, configured to obtain each target video picture from the monitoring video picture sequence, where the acquisition time of each target video picture is within the specified time;

the second sorting unit 405 is configured to sequentially splice the target video frames into student performance videos of the student according to a sequence from first to last of acquisition time;

and the interaction unit 406 is used for sending the student behavior video to the user equipment.

As can be seen, implementing the subscription apparatus described in fig. 4, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and laborious, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of obtaining the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a subscription device for student performance in another campus scenario disclosed in an embodiment of the present application. Wherein the subscription device depicted in fig. 5 is optimized from the subscription device depicted in fig. 4. In comparison with the subscribing device shown in fig. 4, the subscribing device shown in fig. 5 may further include:

An identifying unit 407, configured to identify, after the first obtaining unit 401 obtains the student performance subscription request sent by the user equipment, whether the student belongs to a student allowed to enter the campus according to unique identity information of the student;

a search unit 408 for searching whether the face feature of the student matching the unique identity information of the student has been stored when the recognition unit 407 recognizes that the student belongs to the student allowed to be entered into the campus;

a judging unit 409, configured to judge, when the searching unit 408 queries that the face feature of the student that is already stored and matches with the unique identity information of the student, whether the specified time period matches with a preset value time period of the student in the campus;

accordingly, when the determining unit 409 determines that the specified time period matches the preset configured value time period of the student in the campus, the traversing unit 402 is specifically configured to traverse a plurality of monitoring video frames from the set of monitoring videos collected by a plurality of image collecting devices distributed in the campus scene according to the face features of the student matching the unique identity information of the student.

The subscription device described in fig. 5 may be implemented to precisely traverse a plurality of monitoring video frames from a set of monitoring videos collected by a plurality of image collecting devices distributed in the campus scene according to the face features of the student matched with the unique identity information of the student, so that the workload of the subscription device may be reduced.

Referring to fig. 6, fig. 6 is a schematic structural diagram of a subscription device for student performance in another campus scenario disclosed in an embodiment of the present application. Wherein the subscription device depicted in fig. 6 is optimized from the subscription device depicted in fig. 5. In comparison with the subscribing device shown in fig. 5, the subscribing device shown in fig. 6 may further include:

a query unit 410, configured to query, in the first ordering unit 403, whether a record of a student violating campus regulation is recorded in a preset student bad record registry according to unique identity information of the student after the monitoring video frames are ordered according to the order of acquisition time from first to last, and if not, determine a preset minimum video frame extraction threshold;

accordingly, the second obtaining unit 404 is specifically configured to extract, from the monitoring video picture sequence, each target video picture whose total number of video pictures is equal to the minimum video picture extraction threshold.

In some embodiments, the subscription device shown in fig. 6 further comprises:

a first determining unit 411, configured to determine, when the querying unit 410 queries, from a preset student undesirable record registry, an undesirable record in which the student violates a campus rule, from the undesirable records; wherein a time difference between a time point when the campus rule is violated and a current time point recorded in the target bad record is minimum; and determining a threshold increase in inverse proportion to the time difference;

A third obtaining unit 412, configured to obtain a preset minimum video frame extraction threshold and an accumulated value of the threshold increment, as a current video frame extraction threshold;

accordingly, the second obtaining unit 404 is specifically configured to extract, from the monitoring video picture sequence, each target video picture whose total number of video pictures is equal to the current video picture extraction threshold.

The subscription device described in fig. 6 may be further adapted to obtain a current video frame extraction threshold, where the current video frame extraction threshold is smaller when the time of the student last violating the campus rule is longer than the current time, and the current video frame extraction threshold is larger when the time of the student last violating the campus rule is shorter than the current time; in particular, for a student whose time distance from the current time is shorter when the campus rule is violated last time, a teacher or a guardian needs to be stressed to know the student behavior of the student, and at this time, the preset minimum video picture extraction threshold is correspondingly increased to obtain a larger current video picture extraction threshold, so that more target video pictures of the student can be extracted, and the number of target video pictures of the student sent to user equipment of the teacher or guardian can be increased, thereby being more beneficial to analyzing the student behavior.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a subscription device for student performance in another campus scenario disclosed in the embodiments of the present application. Wherein the subscription device depicted in fig. 7 is optimized from the subscription device depicted in fig. 5. In comparison with the subscribing device shown in fig. 5, the subscribing device shown in fig. 7 may further include:

a query unit 410, configured to query, in the first ordering unit 403, whether a preset poor record of the student violating campus regulation is recorded in a preset poor record registry of the student according to unique identity information of the student after the monitoring video frames are ordered in order of acquisition time from first to last, and if not, determine a preset minimum video frame extraction threshold;

In some embodiments, the subscription device shown in fig. 7 further comprises:

a statistics unit 413, configured to, when the querying unit 410 queries, from a preset student bad record registry, that a bad record in which the student violates a campus rule is recorded, count the total number of records in the bad record;

A second determining unit 414, configured to determine a current video picture extraction threshold value in direct proportion to the total number of records;

The subscription device described in fig. 7 may be implemented to adaptively obtain a current video picture extraction threshold, where the greater the current video picture extraction threshold is when the student violates more bad records of the campus rule, the less the current video picture extraction threshold is when the student violates less bad records of the campus rule; in particular, for students with more bad records violating campus regulations, a teacher or a guardian needs to know the student performance of the student with emphasis, and at this time, a corresponding current video picture extraction threshold value greater than a preset minimum video picture extraction threshold value is obtained, so that more target video pictures of the student can be extracted, so that the number of target video pictures of the student sent to user equipment of the teacher or guardian is more, and analysis of the student performance is facilitated.

Referring to fig. 8, fig. 8 is a schematic structural diagram of a subscription system for student behavior in a campus scenario according to an embodiment of the present disclosure. As shown in fig. 8, the subscription system may include a user device 801, a subscription device 802, and a number of image capture devices 803; the user device 801 is communicatively connected to the subscribing device 802 via a network, and the subscribing device 802 is communicatively connected to the plurality of image capturing devices 803 via the network. Wherein the plurality of image capturing devices 803 may be distributed in a campus scenario (including indoor and outdoor), wherein:

user device 801 for sending a student performance subscription request to subscription device 802, the student performance subscription request comprising unique identity information of a student and a specified time period;

a subscription device 802, configured to obtain the student performance subscription request sent by the user device 801; and traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices 803 distributed in a campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student; sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; acquiring each target video picture from the monitoring video picture sequence, wherein the acquisition time of each target video picture is within the appointed time; and, splicing each target video picture sequentially into student behavior expression videos of the students according to the sequence of acquisition time from first to last, and sending the student behavior expression videos to user equipment 801;

User device 801 is further configured to obtain student performance video of the student sent by subscribing device 802.

In this embodiment, reference is made to the foregoing method embodiments for other processes and functions that the user equipment 801 and the subscription device 802 may execute, which are not described herein.

As can be seen, implementing the subscription system described in fig. 8, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and laborious, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of obtaining the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

Referring to fig. 9, fig. 9 is a schematic structural diagram of a subscription device for student performance in a campus scenario according to an embodiment of the present disclosure. As shown in fig. 9, the subscribing device may include:

a memory 901 storing executable program code;

a processor 902 coupled to the memory;

the processor 902 invokes executable program code stored in the memory 901, performing the steps of:

traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in a campus scene according to the face characteristics of the student matched with the unique identity information of the student; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face characteristics of the student;

and splicing all target video pictures into student behavior expression videos of the students in sequence according to the acquisition time from first to last, and sending the student behavior expression videos to user equipment.

In some embodiments, the processor 902 may further perform the following steps after the monitoring video frames are sequenced from the beginning to the end of the acquisition time, and before each target video frame is acquired from the monitoring video frame sequence:

at this time, the processor 902 may specifically obtain each target video frame from the sequence of monitoring video frames as follows:

In some implementations, the processor 902 may also perform the steps of:

if the bad records recorded with the student violating campus regulations are inquired from a preset student bad record registry, determining target bad records from the bad records; wherein a time difference between a time point when the campus rule is violated and a current time point recorded in the target bad record is minimum;

determining a threshold increase in inverse proportion to the time difference;

acquiring a preset minimum video picture extraction threshold value and an accumulated value of a threshold value increment as a current video picture extraction threshold value;

In some implementations, the processor 902 may also perform the steps of:

if the bad records recorded with the student violating campus regulations are inquired from a preset student bad record registry, counting the total number of records in the bad records;

In some embodiments, after the processor 902 obtains the student performance subscription request sent by the user device, the following steps may be further performed:

if the student belongs to the student allowed to enter the campus, inquiring whether the face characteristics of the student matched with the unique identity information of the student are stored or not;

If the face characteristics of the student matched with the unique identity information of the student are stored, judging whether the appointed time period is matched with the value time period of the student in the campus, if so, executing the step of traversing a plurality of monitoring video pictures from a plurality of monitoring video collection devices distributed in the campus scene according to the face characteristics of the student matched with the unique identity information of the student.

It should be noted that, in the embodiment of the present application, the subscription device shown in fig. 9 may further include a touch screen, an input module (such as a key), a user interface module, and other components that are not shown.

As can be seen, implementing the subscription apparatus described in fig. 9, a teacher or guardian does not need to review the student performance of some students on the monitoring video stored in the school, which is time-consuming and laborious, and can subscribe to the student performance of some students, thereby being beneficial to improving the efficiency of obtaining the student performance of some students in the campus. In addition, the bad student performance of certain students can be discovered early in advance by subscribing the student performance of certain students, so that the students can be educated early, and campus accidents are reduced.

The embodiment of the application discloses a computer readable storage medium, on which computer instructions are stored, which when executed cause a computer to execute each step of the identity authentication method disclosed in the embodiment of the application, and the same technical effects can be achieved, so that repetition is avoided, and no further description is provided here.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM) or the like.

The foregoing disclosure is only illustrative of the preferred embodiments of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.

Claims

1. A method for subscribing student performance in a campus scenario, the method comprising:

sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence;

inquiring whether a bad record of the student violating campus regulations is recorded in a preset bad record registry of the student according to the unique identity information of the student;

if not recorded, determining a preset minimum video picture extraction threshold;

extracting all target video pictures with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence;

if the bad records recorded with the student violating campus regulations are inquired from the preset student bad record registry, determining the total number of records in the bad records, and determining a current video picture extraction threshold value in direct proportion to the total number of records; the current video picture extraction threshold is larger than the preset minimum video picture extraction threshold;

Or if the bad records recorded with the student violating the campus rule are inquired from the preset student bad record registry, determining that the time difference between the time point recorded in the target bad record and the current time point when the student violating the campus rule is minimum; determining a threshold increment in inverse proportion to the time difference, and acquiring a preset minimum video picture extraction threshold and an accumulated value of the threshold increment as a current video picture extraction threshold;

extracting all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence, wherein the acquisition time of all the target video pictures is within the appointed time;

2. The subscription method of claim 1, wherein after the obtaining the student performance subscription request sent by the user device, the method further comprises:

3. A subscription apparatus for student performance in a campus scenario, the apparatus comprising:

the inquiring unit is used for inquiring whether the bad records of the students, which violate campus regulations, are recorded in a preset bad record registry of the students according to the unique identity information of the students; if not recorded, determining a preset minimum video picture extraction threshold; extracting all target video pictures with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence; if the bad records recorded with the student violating campus regulations are inquired from the preset student bad record registry, determining the total number of records in the bad records, and determining a current video picture extraction threshold value in direct proportion to the total number of records, wherein the current video picture extraction threshold value is larger than the preset minimum video picture extraction threshold value; or if the bad records recorded with the student violating the campus rule are inquired from the preset student bad record registry, determining that the time difference between the time point recorded in the target bad record and the current time point when the student violating the campus rule is minimum; determining a threshold increment in inverse proportion to the time difference, and acquiring a preset minimum video picture extraction threshold and an accumulated value of the threshold increment as a current video picture extraction threshold;

The second acquisition unit is used for extracting all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence, and the acquisition time of all the target video pictures is within the appointed time;

4. A subscription system for student performance in a campus scenario, the system comprising user equipment and subscription equipment, wherein:

the subscription equipment is used for acquiring the student performance subscription request sent by the user equipment; according to the face characteristics of the students matched with the unique identity information of the students, traversing a plurality of monitoring video pictures from a set of monitoring videos acquired by a plurality of image acquisition devices distributed in the campus scene; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises face features of the student; and sequencing the monitoring video pictures according to the sequence of the acquisition time from first to last to obtain a monitoring video picture sequence; inquiring whether a bad record of the student violating campus regulations is recorded in a preset bad record registry of the student according to the unique identity information of the student; if not recorded, determining a preset minimum video picture extraction threshold; extracting all target video pictures with the total number of video pictures equal to the minimum video picture extraction threshold value from the monitoring video picture sequence; if the bad records recorded with the student violating campus regulations are inquired from the preset student bad record registry, determining the total number of records in the bad records, and determining a current video picture extraction threshold value in direct proportion to the total number of records; the current video picture extraction threshold is larger than the preset minimum video picture extraction threshold; or if the bad records recorded with the student violating the campus rule are inquired from the preset student bad record registry, determining that the time difference between the time point recorded in the target bad record and the current time point when the student violating the campus rule is minimum; determining a threshold increment in inverse proportion to the time difference, and acquiring a preset minimum video picture extraction threshold and an accumulated value of the threshold increment as a current video picture extraction threshold; extracting all target video pictures with the total number of video pictures equal to the extraction threshold value of the current video picture from the monitoring video picture sequence, wherein the acquisition time of all the target video pictures is within the appointed time; sequentially splicing the target video pictures into student behavior expression videos of the students according to the sequence of acquisition time from first to last, and sending the student behavior expression videos to the user equipment;

5. A subscription apparatus for student performance in a campus scenario, the subscription apparatus comprising: a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the steps of the subscription method of any one of claims 1 and 2.

6. A computer readable storage medium having stored thereon computer instructions which, when executed, cause a computer to perform the steps of the subscription method of any one of claims 1 and 2.