CN112702563A

CN112702563A - Method, device and system for subscribing student behavior expression in campus scene

Info

Publication number: CN112702563A
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: 2021-04-23
Anticipated expiration: 2039-10-23
Also published as: CN112702563B

Abstract

A method, equipment and a system for subscribing student performance in a campus scene are provided, wherein the method comprises the following steps: acquiring a student behavior expression subscription request which is sent by user equipment and comprises unique identity information of a student and a specified time period; 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 monitoring video set acquired by a plurality of image acquisition devices distributed in a campus scene; 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 specified time from the monitoring video picture sequence; and sequentially splicing the target video pictures into student behavior performance videos from first to last according to the acquisition time, and sending the videos to the user equipment. The efficiency of obtaining the student's performance of some students in the campus can be promoted.

Description

Method, device and system for subscribing student behavior expression in campus scene

Technical Field

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

Background

In recent years, a campus accident (e.g., campus cheating) occurs, and after the campus accident occurs, a teacher or a guardian (e.g., a parent) can only review the behavior of students of the relevant students in the campus accident on a monitoring video stored in a school (e.g., a monitoring video stored in a server of the school).

In practice, it is found that when the number of the monitoring videos stored in the school is large, a teacher or a guardian refers to the monitoring videos stored in the school to look up the student behaviors of some students, which is time-consuming and labor-consuming, so that the efficiency of acquiring the student behaviors of some students in the school is reduced.

Disclosure of Invention

The embodiment of the application discloses a method, equipment and a system for subscribing student performance in a campus scene, which can improve the efficiency of acquiring student performance of certain students in the campus.

The embodiment of the application discloses a method for subscribing student performance in a campus scene in a first aspect, which comprises the following steps:

the method comprises the steps that a student performance subscription request sent by user equipment 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 monitoring video set acquired by a plurality of image acquisition devices distributed in the campus scene according to the face features of the students matched with the unique identity information of the students; each monitoring video picture comprises a person image of the student, and the person image of the student comprises the face characteristics of the student;

sequencing the plurality of 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 specified time;

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

As an optional implementation manner, in the first aspect of the embodiment of the present application, after the monitoring video pictures are obtained by sorting the monitoring video pictures according to the sequence of the acquisition time from first to last and before each target video picture is obtained from the monitoring video picture sequence, the method further includes:

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

the obtaining of each target video picture from the sequence of surveillance video pictures includes:

and extracting all target video pictures with the total number of the 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 this embodiment of the present application, the method further includes:

if the preset student bad record registry inquires out bad records recorded in a way that the students violate campus regulations, determining a target bad record from the bad records; wherein a time difference between a time point when the campus regulation is violated and a current time point recorded in the target bad record is minimum;

determining a threshold increase amount inversely proportional to the time difference;

acquiring the cumulative value of the preset minimum video picture extraction threshold and the threshold increment as the current video picture extraction threshold;

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

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

determining a current video frame 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 acquiring the student performance subscription request sent by the user equipment, the method further includes:

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

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

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

and if the designated time period is matched with a preset value day time period of the student in the campus, executing the step of traversing a plurality of monitoring video pictures from a monitoring video set 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.

As an optional implementation manner, in the first aspect of the embodiment of the present application, the manner in which the subscribing device splices the target video pictures into the student performance videos of the student in sequence from first to last according to the collection time includes:

1) the subscription equipment 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 subscription equipment identifies the distance l of the student relative to a lens of image acquisition equipment y for shooting the target video picture x according to the area size of the face area;

3) the subscribing device identifies the direction f of the lens of the student relative to 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 the 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 acquiring the target video picture x, the distance l of the student relative to the lens of the image acquisition device y acquiring the target video picture x and the direction f of the student relative to the lens of the image acquisition device y acquiring the target video picture x;

5) according to the personal image of the student in the target video picture x, the subscription equipment carries out grade evaluation on the instant behavior of the student when the image acquisition equipment y acquires the target video picture x to obtain an instant behavior grade f;

6) the subscribing equipment superposes the instant three-dimensional coordinate e of the student and the grade mark (such as a good or a medium or a poor) of the instant behavior expression grade f with the target video picture x to form a target video picture to be spliced;

7) and the subscribing equipment splices the target video pictures to be spliced into the student behavior expression videos of the students in sequence from first to last according to the acquisition time.

A second aspect of the embodiments of the present application discloses a device for subscribing to student performance in a campus scenario, where the device includes:

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

the traversal unit is used for traversing a plurality of monitoring video pictures from a set of monitoring videos collected by a plurality of image collecting 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 person image of the student, and the person image of the student comprises the face characteristics of the student;

the first sequencing unit is used for sequencing the plurality of 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 specified time;

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

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

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

the query unit is used for sequencing the plurality of monitoring video pictures from first to last according to the acquisition time in the first sequencing unit to obtain a monitoring video picture sequence, querying whether a bad record violating the campus regulation of the student is recorded in a preset student bad record registry according to the unique identity information of the student, and if not, determining a preset minimum video picture extraction threshold;

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

a first determining unit, configured to determine a target bad record from the bad records when the first querying unit queries a bad record in which the student violates a campus regulation from the preset student bad record registry; wherein a time difference between a time point when the campus regulation is violated and a current time point recorded in the target bad record is minimum; and determining a threshold increase amount in inverse proportional relation to the time difference;

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

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

the statistical unit is used for counting the total number of records in the bad records when the first inquiry unit inquires the bad records recorded in the preset student bad record registry, wherein the bad records violate campus regulations of the students;

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

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

the identification unit is used for identifying whether the student belongs to the student allowed to enter the campus or not according to the unique identity information of the student after the first acquisition unit acquires the student performance subscription request sent by the user equipment;

a searching unit, configured to search whether face features of the student matching unique identity information of the student have been stored when the recognition unit recognizes that the student belongs to a student who is allowed to be entered into the campus;

the judging unit is used for judging whether the specified time period is matched with a preset configured value day time period of the student in the campus when the searching unit searches out the stored face features of the student matched with the unique identity information of the student;

the traversal unit is specifically configured to traverse a plurality of surveillance video pictures from a set of surveillance videos acquired by a plurality of image acquisition devices distributed in the campus scene according to face features of the students matched with unique identity information of the students when the determination unit determines that the specified time period matches a preset value day time period of the students in the campus.

A third aspect of the embodiments of the present application discloses a system for subscribing to student performance in a campus scenario, where the system includes user equipment and subscribing equipment, where:

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 device is used for acquiring the student behavior expression subscription request sent by the 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 the campus scene according to the face features of the students matched with the unique identity information of the students; each monitoring video picture comprises a person image of the student, and the person image of the student comprises the face characteristics of the student; sequencing the plurality of 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 specified time; sequentially splicing the target video pictures into student behavior performance videos of the students according to the sequence of the acquisition time from first to last and sending the videos to the user equipment;

the user equipment is further used for obtaining the student behavior expression video of the student, which is sent by the subscription equipment.

A fourth aspect of the embodiments 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 with the memory;

the processor calls the executable program code stored in the memory to execute 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, and the computer-readable storage medium executes 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 user equipment 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 monitoring video set acquired by a plurality of image acquisition devices distributed in the campus scene according to the face features of the students matched with the unique identity information of the students; each monitoring video picture comprises a person image of the student, and the person image of the student comprises the face characteristics of the student; sequencing the plurality of 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 specified time; and sequentially splicing the target video pictures into student behavior performance videos of the students according to the sequence of the acquisition time from first to last, and sending the videos to the user equipment. Therefore, by implementing the embodiment of the application, a teacher or a guardian does not need to look up the student behavior performances of some students on the monitoring videos stored in the school, so that time and labor are wasted, and the student behavior performances of some students can be subscribed, thereby being beneficial to improving the efficiency of acquiring the student behavior performances of some students in the campus. In addition, the student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used 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 it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic flowchart of a method for subscribing to student performance in a campus scenario according to an embodiment of the present application;

fig. 2 is a flowchart illustrating another method for subscribing to student performance in a campus scenario according to an embodiment of the present application;

fig. 3 is a flowchart illustrating a method for subscribing to student performance in a campus scenario according to another embodiment of the present disclosure;

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;

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;

fig. 6 is a schematic structural diagram of a subscription device for student performance in a campus scenario according to another embodiment of the present application;

fig. 7 is a schematic structural diagram of a subscription device for student performance in a campus scenario according to another embodiment of the present application;

fig. 8 is a schematic structural diagram of a subscription system for student performance in a campus scenario according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a subscription device for student performance in a campus scenario according to another embodiment of the present application.

Detailed Description

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 only a part of the embodiments of the present application, and not all of the 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.

It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the embodiments of the present application, are intended to cover a 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, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The embodiment of the application discloses a method, equipment, a system and a storage medium for subscribing student performance in a campus scene, which can improve the efficiency of acquiring the student performance 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 flowchart illustrating a method for subscribing to student performance in a campus scenario according to an embodiment of the present application. The subscription method described in fig. 1 is described from the perspective of the subscribing device. In this embodiment of the application, the subscribing device may include, in terms of physical implementation, a monitoring platform (such as a video cloud monitoring platform) arranged in a campus, a server, and the like, which is not limited in this embodiment of the application. As shown in fig. 1, the subscription method may include the following steps:

101. the subscribing device acquires a student performance subscribing request sent by the user device, wherein the student performance subscribing 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 the student's identification number; alternatively, the unique identity information of the student may be a combination of the student's name and school number; or, the unique identity information of the student can be a combination of the name, class number, grade and school name of the student; the embodiments of the present application are not limited.

In some embodiments, the specified time period may be a historical time period or an unextended time period. For example, the designated time period may be the whole time period (e.g., 08: 00-16: 00) for school on a certain day; alternatively, the specified time period may be a specific class time period in the whole class time period (e.g. 08: 00-16: 00) specified by a certain school of day, for example, a class time period of a certain class (e.g. 08:00-8:45 of the language class 1); or, the designated time period can also be specific activities or competition time periods in the whole school time period (such as 08: 00-16: 00) specified by a school of a certain day, such as the time period of class activities (such as 08:45-09:00), and the competition time period of school-time and fortune-meeting (such as 8:00-10:30 and 14: 00-16: 00); or, the designated time period can also be a value day time period (for example, 08: 00-16: 00) of the student in the whole school time period (for example, 08: 00-16: 00) specified by a certain 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 or personal computer, etc.) used by a teacher or guardian (e.g., a parent).

102. The subscribing equipment traverses a plurality of monitoring video pictures from a monitoring video set acquired by a plurality of image acquisition equipment 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 subscribing device may first obtain, from a student face feature library set in a school, face features of a student that match unique identity information of the student, and then traverse a plurality of surveillance video pictures from a set of surveillance videos collected by a plurality of image collection devices (e.g., cameras) distributed in a campus scene; each monitoring video picture comprises a personal image of the student, and the personal image of the student comprises the face features of the student. It is understood 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., hallway, playground, road). It can be understood that the person image of the student includes not only the face of the student (the face area of the student includes the facial features of the student), but also the trunk (e.g., part or all) and/or the limbs (e.g., part or all) of the student, so that the person image of the student is suitable for analyzing the learning performance (e.g., fighting) of the student.

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 specified time.

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

In some embodiments, the manner in which the subscribing device sequentially splices the target video pictures into the student performance video of the student according to the order of the acquisition time from first to last may include the following steps:

2) the subscription equipment identifies the distance l of the student relative to the lens of the image acquisition equipment y for shooting the target video picture x according to the area size 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;

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 to obtain an instant behavior grade f;

6) the subscribing device superposes the instant three-dimensional coordinate e of the student, the grade mark (like excellent) of the instant behavior expression grade f and the target video picture x to form a target video picture to be spliced;

7) and the subscribing equipment splices the target video pictures to be spliced into the student behavior expression video of the student in sequence from first to last according to the acquisition time.

And (3) implementing the steps 1) to 7), so that a user of the user equipment can accurately know the student behavior expression of the student in each video picture, and can accurately know the places of the campus where the student makes the learning behavior expression in each video picture, thereby realizing accurate understanding of the student behavior expression and improving the user experience of the user equipment.

Therefore, by implementing the subscription method described in fig. 1, a teacher or a guardian does not need to refer to the student performance of some students from the monitoring videos stored in the school, which is time-consuming and labor-consuming, and can subscribe 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 student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

In addition, by implementing the subscription method described in fig. 1, the student performance can be understood more finely, and the user experience of the user equipment can be improved.

Referring to fig. 2, fig. 2 is a flowchart illustrating another method for subscribing to student performance in a campus scenario according to an embodiment of the present application. The subscription method described in fig. 2 is described from two perspectives of the user equipment and the subscribing device. As shown in fig. 2, the subscription method may include the following steps:

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

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

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

In some embodiments, the student performance subscription request may also carry user identity information of the user device, where the user identity information may include a user name or unique account information used by the user to log in to 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, the step 206 is executed; if the student does not belong to the student who is allowed to enter the campus, the process is ended.

206. The subscribing device searches whether the face characteristics of the student matched with the unique identity information of the student are stored; if the face features of the student matched with the unique identity information of the student are stored, executing step 207; if the face features of the student matched with the unique identity information of the student are not stored, the flow is ended.

207. The subscribing device judges whether the designated time period is matched with a preset configured value time period of the student in the campus; if the designated time period is matched with the preset value day time period of the student in the campus, executing step 208-step 210; if the designated time period does not match the preset configured time period of the day of the student in the campus, the process is ended.

Since the number of students in the campus scene is usually large, the implementation of the steps 201 to 207 can enable the subscribing device to accurately execute the steps 208 to 210, thereby reducing the workload of the subscribing device.

In some application scenarios, teachers or guardians pay more attention to the learning behavior of students in the day time period of the campus, and whether the working of the students is active and whether the cooperation relationships of the students with other students are harmonious in the day time period can be analyzed through the learning behavior of the students in the day time period of the campus.

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

the subscribing device determines a device identifier of teacher equipment of a student's executive or instructor (such as a teacher account of student management application logged in by a teacher mobile phone) mapped with the face features of the student according to the face features 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 the unique identity information of the student and the user identity information of the user equipment;

after receiving the verification passing response sent by the teacher device, the subscription device executes step 208 to step 210; 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 monitored person and the guardian.

By the implementation of the implementation mode, a non-guardian can be prevented from wantonly or maliciously subscribing the student behavior expressions of other students to the subscribing device, so that the workload of the subscribing device is reduced, and the student behavior expressions can be prevented from being maliciously leaked out, thereby causing psychological damage to the students.

208. The subscribing equipment traverses a plurality of monitoring video pictures from a monitoring video set acquired by a plurality of image acquisition equipment 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 subscribing 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 bad records violating campus regulations of the student are recorded from a preset bad record registry of the student according to the unique identity information of the student, and if not, executes step 211-step 212; if yes, go through steps 213-218.

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

212. The subscription equipment extracts all target video pictures with the total number of the 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 specified time; and, jumping to execute step 217 to step 218.

By implementing the steps 211 to 212, the number of target video frames sent to the user equipment can be reduced, so that the data transmission efficiency between the subscription equipment and the user equipment is improved, and the efficiency of obtaining the student behavior performance video by the user equipment is improved.

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

214. The subscribing device determines a threshold increase amount that is inversely proportional to the time difference.

It is understood that, when the time difference is larger, the longer the interval that the student does not violate the campus regulation (i.e., the longer the time that the student last violated the campus regulation is from the current time), the smaller the threshold increase amount accordingly; conversely, when the time difference is smaller, it indicates that the time interval at which the student violates the campus regulation is shorter (i.e., the time at which the student violates the campus regulation last time is shorter than the current time), and accordingly the threshold increase amount is larger.

215. The subscription equipment acquires 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. And the subscribing equipment extracts all target video pictures with the total number of the video pictures equal to the current video picture extraction threshold from the monitoring video picture sequence, and the acquisition time of all the target video pictures is within the specified time.

Wherein, when the time when the student violates the campus regulation most recently is longer than the current time, the current video picture extraction threshold is smaller, and when the time when the student violates the campus regulation most recently is shorter than the current time, the current video picture extraction threshold is larger; particularly, for a student whose time when the student violates the campus regulation most recently is shorter than the current time, a teacher or a guardian needs to know the student behavior of the student emphatically, 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 thus, the number of the target video pictures of the student sent to the user equipment of the teacher or the guardian is increased, and the analysis of the student behavior is facilitated.

217. And the subscribing equipment sequentially splices all the target video pictures into the student behavior expression video of the student according to the sequence of the acquisition time from first to last.

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

Therefore, by implementing the subscription method described in fig. 2, a teacher or a guardian does not need to refer to the student performance of some students from the monitoring videos stored in the school, which is time-consuming and labor-consuming, and can subscribe 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 student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

In addition, by implementing the subscription method described in fig. 2, it is possible to prevent a non-guardian from wantonly or maliciously subscribing to the subscription device for the student performance of other students, thereby reducing the workload of the subscription device, and preventing the student performance from being maliciously revealed, thereby causing psychological damage to the students.

Referring to fig. 3, fig. 3 is a flowchart illustrating a method for subscribing to student performance in a campus scenario according to another embodiment of the present application. The subscription method described in fig. 3 is described from the perspective of the user equipment and the subscribing device. As shown in fig. 3, the subscription method may include the following steps:

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

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

the method comprises the steps that 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; wherein, the relation between the student and the user to which the user identity information belongs is the matching relation between the person under guardianship and the guardian; the student may be a student with poor learning performance or violating campus regulations;

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

By implementing the implementation mode, 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 to the subscription equipment by spontaneously sending the student performance subscription request.

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

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

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

305. And the subscribing device acquires the student behavior expression subscribing request sent by the user equipment.

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, the step 307 is executed; if the student does not belong to the student who is allowed to enter the campus, the process is ended.

307. The subscribing device searches whether the face characteristics of the student matched with the unique identity information of the student are stored; if the face features of the student matched with the unique identity information of the student are stored, executing step 308; if the face features of the student matched with the unique identity information of the student are not stored, the flow is ended.

308. The subscribing device judges whether the designated time period is matched with a preset configured value time period of the student in the campus; if the designated time period is matched with a preset value day time period of the student in the campus, executing step 309-step 311; if the designated time period does not match the preset configured time period of the day of the student in the campus, the process is ended.

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

309. The subscribing equipment traverses a plurality of monitoring video pictures from a monitoring video set acquired by a plurality of image acquisition equipment 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 subscribing 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 bad records violating campus regulations of the student are recorded from a preset bad record registry of the student according to the unique identity information of the student, and if not, executes step 312-step 313; if yes, go through steps 314-318.

312. The subscribing device determines a preset minimum video frame 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 from the monitoring video picture sequence, the acquisition time of each target video picture is within the specified time, and the steps 317 to 318 are executed.

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

315. The subscribing device determines a current video frame extraction threshold value which is in direct proportion to the total number of the records; when the video frame extraction threshold value is larger than the minimum video frame extraction threshold value, the video frame extraction threshold value is set to be smaller than the minimum video frame extraction threshold value.

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

Wherein, when the above steps 314 to 315 are implemented, the current video picture extraction threshold can be obtained in a self-adaptive manner, and when the number of bad records of the student violating the campus regulation is more, the current video picture extraction threshold is larger, and when the number of bad records of the student violating the campus regulation is less, the current video picture extraction threshold is smaller; particularly, for the students with more bad records violating the campus regulations, the teacher or the guardian needs to intensively know the student performance of the student, and at the moment, the corresponding current video picture extraction threshold value which is larger than the preset minimum video picture extraction threshold value is obtained, so that more target video pictures of the student can be extracted, the number of the target video pictures of the student which are sent to the user equipment of the teacher or the guardian is increased, and the analysis of the student performance is facilitated.

317. And the subscribing equipment sequentially splices all the target video pictures into the student behavior expression video of the student according to the sequence of the acquisition time from first to last.

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

In some embodiments, after the subscribing device sends the student performance video to the user device, the subscribing device may further perform the following steps:

the method comprises the steps that subscription equipment identifies whether user equipment is teacher equipment, if the user equipment is the teacher equipment, a teacher virtual resource pool corresponding to the teacher equipment is determined according to user identity information (namely teacher identity information) of the user equipment, the number of virtual resources (such as virtual red flags, virtual pentagons and the like) in the teacher virtual resource pool changes inversely proportionally along with the change of the number of times that students of a class in charge of a teacher in which the teacher equipment belongs violate campus regulations, for example, the number of times that the students of the class in charge of the teacher in which the teacher equipment belongs violate campus regulations is increased relative to the previous period, and then the number of the virtual resources (such as virtual red flags, virtual pentagons and the like) in the teacher virtual resource pool is reduced; the number of times that students of the class for which the teacher of the teacher device is responsible violates the campus regulation is reduced relative to the previous period, so that the number of virtual resources (virtual red flag, virtual five pointed star, etc.) in the virtual resource pool of the teacher is increased, thereby being beneficial to exciting the students of the class to violate the campus regulation as little as possible.

Further, if the subscription device identifies that the user device is not a teacher device but a 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 (e.g., virtual coins) in the guardian virtual resource pool decreases as the number of times the user device subscribes to the learning behavior expression of the student increases, and when the number of virtual resources in the guardian virtual resource pool is insufficient, the subscription device may prompt the user device to recharge the virtual resource pool.

Therefore, by implementing the subscription method described in fig. 3, a teacher or a guardian does not need to refer to the student performance of some students from the monitoring video stored in the school, which is time-consuming and labor-consuming, and can subscribe 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 student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

In addition, by implementing the subscription method described in fig. 3, a student performance subscription interface can be actively sent to the user equipment, which not only can improve the user experience of the user equipment, but also can prevent the user equipment from spontaneously sending a student performance subscription request to cause downtime on the subscription equipment.

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 equipment, where the student performance subscription request includes unique identity information of a student and a specified time period;

a traversal unit 402, configured to traverse a plurality of surveillance video pictures from a set of surveillance videos acquired by a plurality of image acquisition devices distributed in the campus scene according to the face features 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;

a first ordering unit 403, configured to order the multiple surveillance video frames in order from first to last according to the acquisition time, so as to obtain a surveillance video frame sequence;

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

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

and the interaction unit 406 is configured to send the student performance video to the user equipment.

It can be seen that, with the subscription device described in fig. 4, a teacher or a guardian does not need to refer to the monitoring videos stored in the school to refer to the student performances of some students, which is time-consuming and labor-consuming, and can subscribe the student performances of some students, thereby facilitating the improvement of the efficiency of acquiring the student performances of some students in the campus. In addition, the student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

Referring to fig. 5, fig. 5 is a schematic structural diagram of another subscription device for student performance in a campus scenario disclosed in the embodiment of the present application. The subscribing device described in fig. 5 is optimized by the subscribing device described in fig. 4. Compared 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 who is allowed to enter the campus according to unique identity information of the student;

a searching unit 408, configured to search whether the face features of the student matching the unique identity information of the student are already stored when the identifying unit 407 identifies that the student belongs to a student who is allowed to enter the campus;

a determining unit 409, configured to determine whether the specified time period matches a preset value day time period of the student in the campus when the searching unit 408 queries the stored face features of the student matching the unique identity information of the student;

correspondingly, the traversal unit 402 is specifically configured to traverse a plurality of surveillance video pictures from a set of surveillance videos acquired by a plurality of image acquisition devices distributed in a campus scene according to the face features of the student matched with the unique identity information of the student when the determination unit 409 determines that the specified time period matches a preset value day time period of the student in the campus.

By implementing the subscription device described in fig. 5, a plurality of surveillance video pictures can be traversed from a set of surveillance videos acquired by a plurality of image acquisition 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 can be reduced.

Referring to fig. 6, fig. 6 is a schematic structural diagram of another subscription device for student performance in a campus scenario disclosed in the embodiment of the present application. The subscribing device described in fig. 6 is optimized by the subscribing device described in fig. 5. Compared with the subscribing device shown in fig. 5, the subscribing device shown in fig. 6 may further include:

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

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

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

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

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

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

The subscription device described in fig. 6 may be implemented to obtain a current video frame extraction threshold in a self-adaptive manner, where the current video frame extraction threshold is smaller when the time when the student violates the campus regulation most recently is longer than the current time, and the current video frame extraction threshold is larger when the time when the student violates the campus regulation most recently is shorter than the current time; particularly, for a student whose time when the student violates the campus regulation most recently is shorter than the current time, a teacher or a guardian needs to know the student behavior of the student emphatically, 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 thus, the number of the target video pictures of the student sent to the user equipment of the teacher or the guardian is increased, and the analysis of the student behavior is facilitated.

Referring to fig. 7, fig. 7 is a schematic structural diagram of another subscription device for student performance in a campus scenario disclosed in the embodiment of the present application. The subscribing device described in fig. 7 is optimized by the subscribing device described in fig. 5. Compared with the subscribing device shown in fig. 5, the subscribing device shown in fig. 7 may further include:

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

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

a counting unit 413, configured to count the total number of records in the bad records when the querying unit 410 queries, from a preset student bad record registry, that a student violates a campus regulation;

a second determining unit 414 for determining a current video frame extraction threshold in direct proportion to the total number of records;

The subscribing device described in fig. 7 can adaptively obtain a current video frame extraction threshold, where the current video frame extraction threshold is larger when the number of bad records of the student violating the campus regulation is larger, and the current video frame extraction threshold is smaller when the number of bad records of the student violating the campus regulation is smaller; particularly, for the students with more bad records violating the campus regulations, the teacher or the guardian needs to intensively know the student performance of the student, and at the moment, the corresponding current video picture extraction threshold value which is larger than the preset minimum video picture extraction threshold value is obtained, so that more target video pictures of the student can be extracted, the number of the target video pictures of the student which are sent to the user equipment of the teacher or the guardian is increased, and the analysis of the student performance is facilitated.

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

a user device 801 configured to send a student performance subscription request to the subscription device 802, where the student performance subscription request includes unique identity information of a student and a specified time period;

the subscription device 802 is configured to obtain the student performance subscription request sent by the user device 801; 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 plurality of 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 specified time; sequentially splicing all target video pictures into student behavior performance videos of the students according to the sequence of the acquisition time from first to last and sending the videos to the user equipment 801;

the user device 801 is further configured to obtain the student performance video of the student, which is sent by the subscription device 802.

In this embodiment, please refer to the foregoing method embodiment for other processes and functions that may be executed by the user equipment 801 and the subscription device 802, which are not described herein again.

Therefore, with the subscription system described in fig. 8, a teacher or a guardian does not need to refer to the monitoring videos stored in the school to refer to the student performances of some students, which is time-consuming and labor-consuming, and can subscribe the student performances of some students, thereby facilitating the improvement of the efficiency of acquiring the student performances of some students in the campus. In addition, the student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is 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 application. As shown in fig. 9, the subscribing device may include:

a memory 901 in which executable program code is stored;

a processor 902 coupled to a memory;

the processor 902 calls the executable program code stored in the memory 901 to perform the following steps:

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 specified time period;

traversing a plurality of monitoring video pictures from a monitoring video set 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 the target video pictures into student behavior performance videos of the students in sequence from first to last according to the acquisition time, and sending the videos to the user equipment.

In some embodiments, after the processor 902 sorts the plurality of surveillance video frames in the order of the acquisition time from first to last to obtain the sequence of surveillance video frames and before each target video frame is obtained from the sequence of surveillance video frames, the following steps may be further performed:

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

at this time, the processor 902 may specifically acquire each target video picture from the monitoring video picture sequence by:

In some embodiments, the processor 902 may further perform the following steps:

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

determining a threshold increase amount that is inversely proportional to the time difference;

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

In some embodiments, the processor 902 may further perform the following steps:

if the bad records of the students violating the campus regulation are inquired and recorded from a preset student bad record registry, counting the total number of the 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:

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

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

and if the face characteristics of the student matched with the unique identity information of the student are stored, judging whether the specified time period is matched with a preset value day time period of the student in the campus, and if so, executing the step of traversing a plurality of monitoring video pictures from a monitoring video set 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.

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

It can be seen that, with the subscription device described in fig. 9, a teacher or a guardian does not need to refer to the monitoring videos stored in the school to refer to the student performances of some students, which is time-consuming and labor-consuming, and can subscribe the student performances of some students, thereby facilitating the improvement of the efficiency of acquiring the student performances of some students in the campus. In addition, the student performance of some students can be subscribed, and the bad student performance of some students can be found early, so that the students can be educated early, and the occurrence of campus accidents is reduced.

The embodiment of the present application discloses a computer-readable storage medium, where a computer instruction is stored on the computer-readable storage medium, and when the computer instruction runs, the computer executes each step of the identity verification method disclosed in the embodiment of the present application, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.

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 computer-readable storage medium, and when executed, can include the processes 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 (RAM), or the like.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is not intended to limit the scope of the present invention, so that the present invention will be covered by the appended claims.

Claims

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

2. The subscription method according to claim 1, wherein said ordering said plurality of surveillance video frames in order of acquisition time from first to last, after obtaining a sequence of surveillance video frames, and before obtaining each target video frame from said sequence of surveillance video frames, said method further comprises:

3. The subscription method according to claim 2, further comprising:

4. The subscription method according to claim 2, further comprising:

determining a current video frame extraction threshold value in direct proportion to the total number of records; when the video picture extraction threshold is larger than the preset minimum video picture extraction threshold;

5. The subscription method according to any one of claims 1 to 4, wherein after acquiring the subscription request of student performance sent by the user equipment, the method further comprises:

6. A subscription device for student performance in a campus scenario, the device comprising:

7. The subscribing device of claim 6, wherein the device further comprises:

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

9. A subscribing device for student performance in a campus scenario, the subscribing device comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the steps of the subscription method of any one of claims 1 to 5.

10. 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 to 5.