CN108766075A - A kind of individualized education analysis system and method based on video analysis - Google Patents
A kind of individualized education analysis system and method based on video analysis Download PDFInfo
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- CN108766075A CN108766075A CN201810549400.6A CN201810549400A CN108766075A CN 108766075 A CN108766075 A CN 108766075A CN 201810549400 A CN201810549400 A CN 201810549400A CN 108766075 A CN108766075 A CN 108766075A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
A kind of individualized education analysis system and method based on video analysis, belong to intelligent tutoring technical field, it is related specifically to a kind of didactic analysis system and method based on video analysis, including video monitoring system, host server, central server, the first switching equipment, the second switching equipment and client.The individualized education analysis system of the present invention, it is a kind of analysis system by means of artificial intelligence video analysis, it can realize the automatic collection of classroom instruction related data, automatically analyze, transmit automatically, reduce cost of labor, decision-making foundation is provided for teaching research and teaching management, classroom instruction adjustment, improved reference are provided for teacher, specific aim guidance is provided for the autonomous learning of student.Meanwhile this system is simple in structure, deployment is easy, and client at low cost can use existing PC or smart mobile phone, easily scalable maintenance, as long as and the upgrade maintenance server of equipment upgrade center under normal circumstances and host server at low cost software, intelligence degree height.
Description
Technical field
The invention belongs to intelligent tutoring technical field, be related specifically to a kind of didactic analysis system based on video analysis and
Method.
Background technology
Basic education (immature just high) is very important educational stage during personal growth.For teacher, such as
What improves classroom teaching efficiency conscientiously, improves Classroom Teaching, is eternal topic.It is how timely for parent
The study situation for solving student, to carry out the topic for effectively guiding and helping and they are concerned about very much.And teaching is managed
For reason person, as some present elite schools organize more and more branch schooles, how such large-scale teaching team is effectively managed
Reason realizes effective control in teaching process and problem urgently to be resolved hurrily.Meanwhile Modern Quality Education increasingly payes attention to energy
Power culture, personality development have also aggravated the live load of educator significantly in this way, how effectively to realize and are imitated to student instruction
The personality analysis of fruit, and then realize " teaching students in accordance with their aptitude ", and demand urgent at present.Therefore, with the development of technology, occur
Numerous electronic instruction products, intelligent tutoring product, these rich choice of products teaching means of teacher, are improved to a certain extent
Teaching efficiency.
Now common intelligentized system of teaching and learning, can probably be divided into the following two kinds type：
One type is the interaction based on teacher side device and student side device, and then makes online comment to quality of instruction
Estimate service.Teacher can be interactive by a device end and multiple student terminals, and classroom questioning link electronization is learned simultaneously
Causing trouble the information such as can also feed back complete understanding, basic comprehension, not understand completely.Can thus teacher be helped to be taught in time
Staining effect is learned, help improves teaching notes, teaching method etc..
It is another then be based on monitoring system, according to the obtained student's face video of recording, corresponding crucial point feature is extracted, and
Eye closing, doze, the first-class behavior of point are identified according to these changing features, count the frequency of respective behavior, and be based on statistical number
According to the further quality of instruction for assessing course.
No matter above-mentioned which type of system, all have the shortcomings that corresponding：
Using terminal interaction mode, need to be pre-configured with a large amount of teacher side, student side device, price is all relatively high
(at least tablet computer).The quantity of especially student side device is extremely considerable, therefore has extremely high cost (hardware cost
As number is added to linear increase, and cost is not only to purchase, and is also safeguarded, is replaced and obsoleted, the tablet that student uses
Computer may be more fragile).
And by the way of analyzing face in video, what is actually analyzed is the state of mind of student, but in many feelings
Under condition, the state of mind and intraday time point relationship bigger, there is no absolute positive connection (traditional people with class offerings
Face video analysis means do not account for many environmental factors).Therefore, this method actually can not be very effectively to teaching efficiency
It is assessed.Meanwhile no matter which kind of method, cannot all accomplish the individualized teaching quality analysis to student at present.
Therefore there is an urgent need for a kind of novel technical solutions to solve the problems, such as this in the prior art.
Invention content
The technical problem to be solved by the present invention is to：There is provided a kind of individualized education analysis system based on video analysis and
Method can do effective big data analysis to Activities for Teaching interior in certain area, be teaching research and teaching management
Decision-making foundation is provided, for teacher provide classroom instruction adjust, improved reference, specific aim be provided refer to for the autonomous learning of student
It leads.The present invention will also solve the problems, such as that existing teaching auxiliary system can not do personality analysis to student simultaneously, in above-mentioned class
On the basis of hall teaching quality analysis system, not being added to this under the premise of largely, realizes to the performance of individual students classroom, teaches
Effective personality analysis of effect is learned, and then meets the needs of ability culture, personality development are focused in quality-oriented education.
A kind of individualized education analysis system based on video analysis, including video monitoring system, host server, center
Server, the first switching equipment, the second switching equipment and client；
The video monitoring system is connected with master server, and the master server passes through the first switching equipment and center service
Device connects, and the client is connect by the second switching equipment with central server；
The centrally disposed computer room of central server, the video monitoring system and master server are set in classroom；
The host server includes motion detection module, face detection module, scene detection module, abnormality detection mould
Block, convolutional neural networks unit and shot and long term memory network unit.
The client includes teacher side, management end, Jia Changduan.
Video monitoring system include it is N number of can be by varifocal camera that holder rotates and a full-view camera.
A kind of analysis method of the individualized education analysis system based on video analysis, includes the following steps：
Step 1: student information is inputted in the central server；
Step 2: the video monitoring system obtains video information, and it is transferred to master server；
Step 3: the video information obtained in step 1 is segmented to obtain segment information and be stored by the master server, together
When segment information passed into the convolutional neural networks unit；
Step 4: the convolutional neural networks unit handles the segment information obtained in step 2, it is special to obtain C3D
Sign, and C3D features are passed into the shot and long term memory network unit；
Step 5: shot and long term memory network unit handles the C3D features of acquisition, obtains current action information and work as
Preceding action markup information, if current action markup information mark current action information is useful information, by current action information
Output passes to central server, and shot and long term memory network unit retains current action markup information simultaneously；
Step 6: the shot and long term memory network unit marks the current action in next C3D features and step 4
Information is handled, and repeats step 4；
Step 7: current action information is sent to client by the central server.
By above-mentioned design scheme, the present invention can bring following advantageous effect：The individualized education analysis system of the present invention
System, is a kind of analysis system by means of artificial intelligence video analysis, which can realize classroom teaching effect related data
Automatic collection, automatically analyze, transmit automatically, reduce cost of labor, provide decision-making foundation for teaching research and teaching management, be
Teacher provides classroom instruction adjustment, improved reference, and specific aim guidance is provided for the autonomous learning of student.Meanwhile this system knot
Structure is simple, deployment be easy, client at low cost can use existing PC or smart mobile phone, easily scalable maintenance, and upgrade maintenance at
As long as the software of this low server of equipment upgrade center under normal circumstances and host server, intelligence degree is high.
Description of the drawings
Below in conjunction with the drawings and specific embodiments, the present invention is further illustrated：
Fig. 1 is the system structure signal of the present invention a kind of individualized education analysis system and method based on video analysis
Figure.
Fig. 2 is a kind of method flow diagram of individualized education analysis system and method based on video analysis of the present invention.
In figure, 1- video monitoring systems, 2- master servers, 3- central servers, the first switching equipment of 4-, 5- second are exchanged
Equipment, 6- clients, 21- motion detections module, 22- face detection modules, 23- scene detection modules, 24- abnormality detection moulds
Block, 25- convolutional neural networks unit, 26- shot and long term memory network units.
Specific implementation mode
A kind of individualized education analysis system based on video analysis, as shown in Figure 1：Including video monitoring system 1, main clothes
Business device 2, central server 3, the first switching equipment 4, the second switching equipment 5 and client 6；
The video monitoring system 1 and master server 2 connect, and the master server 2 passes through the first switching equipment 4 and center
Server 3 connects, and the client 6 is connect by the second switching equipment 5 with central server 3；
3 centrally disposed computer room of the central server, the video monitoring system 1 and master server 2 are set to classroom
It is interior；
The host server 2 includes motion detection module 21, face detection module 22, scene detection module 23, exception
Detection module 24, convolutional neural networks unit 25 and shot and long term memory network unit 26.
The client 6 includes teacher side 61, management end 62, parent end 63.
The video monitoring system 1 can pass through the varifocal camera and a full-view camera of holder rotation including N number of.
A kind of analysis method of the individualized education analysis system based on video analysis, includes the following steps：
Step 1: student information is inputted in the central server 3；
Step 2: the video monitoring system 1 obtains video information, and it is transferred to master server 2；
Step 3: the video information obtained in step 1 is segmented to obtain segment information and be stored by the master server 2, together
When segment information passed into the convolutional neural networks unit 25；
Step 4: the convolutional neural networks unit 25 handles the segment information obtained in step 2, C3D is obtained
Feature, and C3D features are passed into the shot and long term memory network unit 26；
Step 5: shot and long term memory network unit 26 handles the C3D features of acquisition, obtain current action information and
Current action markup information believes current action if current action markup information mark current action information is useful information
Breath output passes to central server 3, and shot and long term memory network unit 26 retains current action markup information simultaneously；
Step 6: the shot and long term memory network unit 26 is by the current action mark in next C3D features and step 4
Note information is handled, and repeats step 4；
Step 7: current action information is sent to client 6 by the central server 3.
Central server 3 is deployed in central machine room, is connected with the master server 2 for being deployed in classroom by the first switching equipment 4
It connects.Internet and this school LAN are accessed simultaneously, and client 6 uses software by internet (or this school LAN) in
Central server 3 interacts.The function that central server 3 is realized has：Receive the information that master server 2 sends over, and itself
Analyzing processing is carried out in big data system, forms data analysis report, personality analysis report etc.；The difference at customer in response end 6
Request, provides corresponding access function；By sending control information, indirect control video monitoring system 1 to master server.
Master server 2 and video monitoring system 1 are installed in classroom, and the two is directly connected to, while master server 2 and computer room
Central server 3 connect.Video monitoring system 1 is made of multiple cameras, one of them be " full-view camera ", angle and
Setting angle is fixed, and all positions in classroom can be directly observed.Remaining camera is varifocal camera, passes through holder
Rotation, can closely observe the specific region (observation scope can cover entire classroom) in classroom.According to classroom size, number of students
The factors such as amount, classroom character of use (classroom, Sveerz Deluxe, hearing classroom) install multiple varifocal cameras.All
These cameras all by teaching the indoor network equipment, are connected with master server 2.Master server 2 is taken the photograph by analyzing processing panorama
As the video on head, existing application scenarios are judged, and automatically control the shooting angle of varifocal camera, continue to interested
Do further video capture and further analysis in region.In addition, master server 2 can also receive the control letter of central server 3
Breath, and according to these control information, control varifocal camera.
Master server 2 needs the detection done to collected video to include：The detection that motion detection module 21 is acted
(such as raise one's hand, stand up), face detection module 22 carry out the detection (identity information for identifying student, teacher) of face, scene detection
Module 23 carries out the detection (such as link, link of giving lessons, enquirement link, exchange link before the class) of scene, abnormality detection module 24
Carry out unusual checking (such as emergency case).
6 software of client includes two kinds of forms, and one is the B/S style clients based on web interface, are mainly used for PC
End, another kind is mobile APP clients.Client 6 provides three kinds and uses role：Teacher side 61, management end 62, parent end 63.
Client 6 does not include student side, because student need not carry out direct interaction with system.Client 6 can by internet or
Second switching equipment 5 of person's LAN is interacted with the realization of central server 3.
Client 6 needs the function of realizing mainly to have：Typing teacher, student, course information, configuration classroom parameter (have
Several cameras, classroom area, classroom type etc.), big data analysis report, personality analysis report etc. are obtained, and realize
Other management functions.
Embodiment
Video monitoring system 1 and master server 2 connect, and master server 2 passes through two layer switch and central server 3
Connection, the client 6 are connect by a three-tier switch with central server 3；
3 centrally disposed computer room of the central server, the video monitoring system 1 and master server 2 are set to classroom
It is interior；
The host server 2 includes motion detection module 21, face detection module 22, scene detection module 23, exception
Detection module 24, convolutional neural networks unit 25 and shot and long term memory network unit 26.
The client 6 includes teacher side 61, management end 62, parent end 63.
The video monitoring system 1 can pass through the varifocal camera and a full-view camera of holder rotation including 3.
Teacher, parent need that the corresponding function of client could be used after registering, and after registration, administrator backstage are needed to examine
Core, to avoid there is safety problem.
Teacher needs typing and safeguards the information of this class of student, these information at least will include：The essential information of student, with
The related information of parent's account and the influence information (multiple pictures) of student.Teacher at school before, need in client software
Teacher interface, the simple information of typing (class offerings etc.) concurrently serves the information that class starts, and client 6, which passes through, scans two dimension
The means such as code, are further simplified the typing of information.
It attends class after beginning, master server 2 constantly will obtain information from IP full-view cameras, utilize video identification technology (base
In deep learning), by picture and audio data, automatically identify which kind of that current slot is in classroom instruction in stage.Such as：
Link before the class, link of giving lessons, enquirement link, exchange link etc..Master server 2 will be according to the difference in classroom instruction stage, selection
Different recognition logics is further analyzed classroom instruction situation.Probably it is exemplified below：
Link (before the class three minutes) before the class：Identification participates in the student of activity before the class (such as upper dais speech), shooting face
Information, and control zoom camera and track current student movement track, and record, preserve its movable process of participation.
It gives lessons link：Ensure that there are one zoom cameras to record teachers' instruction content (including information on blackboard), together
When full-view camera further identify student classroom show, identify whether there is situations such as doze.(nonrecognition nods, attention
The case where not concentrating also is nodded because it is difficult to define when student may be in a daze sometimes).
Put question to link：It is raised one's hand using panoramic camera identification student, situations such as answering a question of standing up, and controls zoom camera
Head tracks corresponding student, obtains facial information, and shooting clear face identifies student's identity information, one-step recording students in class of going forward side by side
Hall performance data (enthusiastically degree etc. of making a speech).
Exchange link (discuss issues, classroom activity etc.)：Student's active degree is recorded, and identifies most active pupilage
Information further counts classroom performance data etc..
By taking motion detection as an example, monitor video will be divided into video segment first, be sequentially inputted to convolutional neural networks
For extracting C3D features in module 25.Shot and long term memory network list will be input to as time series after extraction C3D features
Member 26 is to the action etc. in real-time judge current video.Since shot and long term memory network unit 26 is mainly used for analyzing sequential sequence
Row, so shot and long term memory network unit 26 can there are two outputs, first, current action information；Second is that current action markup information
(mark the action whether be effective action information), current action markup information will be with the C3D features of next video-frequency band
Input as the processing of shot and long term memory network unit 26 next time.And current action markup information mark current action information is
Effective information, then current action information be delivered to central server 3.Such as：Student raises one's hand to answer a question, and is noted as effectively believing
Breath, and student lifts hand and gets to know, and is noted as invalid information.
Wherein, C3D is the revision of BVLC CAFE, for supporting Three dimensional convolution network.C3D can train effectively,
Test or fine tuning 3D pictures.LSTM (Long Short-Term Memory) in shot and long term memory network unit 26 is shot and long term
Memory network is a kind of time recurrent neural network, is suitable for being spaced and postponing relatively long in processing and predicted time sequence
Critical event.
After class, teacher is by client, sends out teaching END instruction, and host server is by statistical data analysis and recording
Video (link of only giving lessons and active student's video) be transferred to central server.Lower class teacher prepares to attend class, with this
Analogize.
Central server 3 can preserve the data that master server 2 transmits, and make preliminary statistical analysis.Master server 2
The facial information of student only can be detected and be preserved, and by identical people (the passing through face recognition algorithms) classification storage of face, but lead
The identity information of student can't be preserved on server 2.It is explained further and is exactly, those can only be distinguished on host server
Video and photo belong to same person, but cannot recognize that carry out this people is whom.
The identity information of student is saved on central server 3, these identity informations will be received with connecing 2 from master server
Facial information matching, classroom activity data (and video) are matched one by one with student's personal information, and then provides personalized
Teaching efficiency analysis report.The purpose of this design is that when student information changes, safeguard that update can be more convenient,
And client is not direct is connect with host server, also avoids network security problem.
After daily education activities, parent can check the personality analysis data on the day of student by parent end 63
(classroom performance etc.), in addition, monthly, per term, per academic year parent can check more more meaningful analysis data, than
Such as：Student is more interesting to which course, and then excavates student interests, teaches students in accordance with their aptitude；The reason of achievement improves or declines is assorted
, which type of has suggest to parent, to improve to sub- woman education etc..
Teacher can also check every month by teacher side 61, per term, the analysis data per academic year, with understand how
For different classes, teaching is done and is targetedly adjusted, improves teaching efficiency.
Instruction administrators can check corresponding analysis data by the corresponding function of management end 62, understand each school district,
Each grade, each teacher, each class teaching affairs, with further for improve teaching management means foundation is provided.
The present invention is capable of providing individualized education analysis system, includes mainly the following：
1. automatic data collection：Using existing Classroom System (monitoring+host), classroom instruction video is acquired.
Using recognition of face, current target person is marked, position in goal task video is partitioned by target tracking.It utilizes
These positions generate the sets of video data of target person.
2. intelligent video analysis：By the sets of video data of target person, directly using video as time series, carry out
Activity recognition, Expression Recognition etc., to reach intellectual analysis.
3. big data analysis：By intelligent video analysis as a result, commenting current Teaching effect, Classroom instruction quality
Estimate, different instructional strategies is compared.Individualized learning scheme is provided for analysis result to student to recommend.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Invention is explained in detail with reference to above-described embodiment for pipe, those of ordinary skills in the art should understand that：Still
The specific implementation mode of the present invention can be modified or replaced equivalently, and without departing from any of spirit and scope of the invention
Modification or equivalent replacement should all cover within the claims of the present invention.
Claims (4)
1. a kind of individualized education analysis system based on video analysis, it is characterized in that：Including video monitoring system (1), main clothes
Business device (2), central server (3), the first switching equipment (4), the second switching equipment (5) and client (6)；
The video monitoring system (1) and master server (2) connection, the master server (2) by the first switching equipment (4) with
Central server (3) connects, and the client (6) is connect by the second switching equipment (5) with central server (3)；
The centrally disposed computer room of the central server (3), the video monitoring system (1) and master server (2) are set to religion
It is indoor；
The host server (2) include motion detection module (21), face detection module (22), scene detection module (23),
Abnormality detection module (24), convolutional neural networks unit (25) and shot and long term memory network unit (26).
2. a kind of individualized education analysis system based on video analysis according to claim 1, it is characterized in that：The visitor
Family end (6) includes teacher side (61), management end (62), parent end (63).
3. a kind of individualized education analysis system based on video analysis according to claim 1, it is characterized in that：It is described to regard
Frequency monitoring system (1) include it is N number of can be by varifocal camera that holder rotates and a full-view camera.
4. a kind of analysis method of the individualized education analysis system based on video analysis, characterized in that include the following steps：
Step 1: student information is inputted in the central server (3)；
Step 2: the video monitoring system (1) obtains video information, and it is transferred to master server (2)；
Step 3: the video information obtained in step 1 is segmented to obtain segment information and be stored by the master server (2), simultaneously
Segment information is passed into the convolutional neural networks unit (25)；
Step 4: the convolutional neural networks unit (25) handles the segment information obtained in step 2, it is special to obtain C3D
Sign, and C3D features are passed into the shot and long term memory network unit (26)；
Step 5: shot and long term memory network unit (26) handles the C3D features of acquisition, obtains current action information and work as
Preceding action markup information, if current action markup information mark current action information is useful information, by current action information
Output passes to central server (3), shot and long term memory network unit (26) while retaining current action markup information；
Step 6: the shot and long term memory network unit (26) marks the current action in next C3D features and step 4
Information is handled, and repeats step 4；
Step 7: current action information is sent to client (6) by the central server (3).
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| JP7189097B2 (en) | 2019-07-22 | 2022-12-13 | ｉ－ＰＲＯ株式会社 | Attendance management system, attendance management method, and program |
| CN110853436A (en) * | 2019-12-11 | 2020-02-28 | 北京中庆现代技术股份有限公司 | Same-frequency interactive classroom control device |
| CN111914685A (en) * | 2020-07-14 | 2020-11-10 | 北京小龙潜行科技有限公司 | Sow oestrus detection method and device, electronic equipment and storage medium |
| CN111914685B (en) * | 2020-07-14 | 2024-04-09 | 北京小龙潜行科技有限公司 | Sow oestrus detection method and device, electronic equipment and storage medium |
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