CN112084994A - Online invigilation remote video cheating research and judgment system and method - Google Patents
Online invigilation remote video cheating research and judgment system and method Download PDFInfo
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Abstract
The invention relates to an on-line invigilation remote video cheating studying and judging system and a method, in particular to remote video cheating studying and judging, belongs to the field of video identification, and aims to solve the problems that whether a student cheats in an examination process or not and invigilation resource waste cannot be accurately judged in the prior art; the system comprises a plurality of cameras of a main machine position and an auxiliary machine position, a cheating research and judgment center server, a video synthesis server and a cheating research and judgment center server, wherein the cameras are used for collecting video streams and inputting the video streams into the same processing equipment, and the video streams are synthesized and transmitted to the Internet through a network; and the research and judgment center server identifies the video stream according to the video content acquired on site, judges whether cheating occurs according to the action, posture and sight line range of the examinee in the video in the identification process, and finally pushes the information of the suspected cheating students to a supervision teacher end. The invention effectively judges whether the students cheat in the examination process through video remote identification, saves invigilation resources due to remote image processing and system reminding, and ensures that the invigilation process is real-time and accurate.
Description
Technical Field
The invention relates to an online invigilation remote video cheating studying and judging system and method, in particular to remote video cheating studying and judging, and belongs to the field of video identification.
Background
The invention relates to a method for judging whether an examinee has suspected cheating actions in a video under an invigilating scene, which comprises the following steps: the video stream is collected by a plurality of cameras of a main machine position (visual angle of an examinee) and an auxiliary machine position (visual angle of the surrounding environment of the examinee) and input into the same processing equipment, then video synthesis is carried out and the video stream is transmitted to a cheating research and judgment center server of the Internet through a network, the research and judgment center server carries out video stream identification according to the video content collected on site, whether cheating is carried out or not is judged according to the action, the posture and the sight range of the examinee in the video in the identification process, and finally, the information of students suspected to cheat is pushed to an invigilator teacher end.
Students cannot concentrate on the course along with the rise of network learning and the restriction of various conditions, students in all colleges and universities perform remote online learning, and meanwhile, subject examination and examination at the end of the school period also need to be performed online.
According to the traditional study in school, examinees can invigorate the examinees in a large examination room by 2 to 3 invigorator teachers. However, on-line examination faces the situation that students cannot monitor centrally, the original many-to-one mode of examinees and invigilators is changed into the one-to-one mode of examinees and invigilators, and the teacher cannot be allocated to the students by the resources of teachers in schools. The proctor teacher is required to supervise the examinations of a plurality of students simultaneously on line. a is
Therefore, the invigilation task is ensured to be completed, the examination is guaranteed to be fair and fair, the invigilation is only carried out by teachers, and the capacity is still limited, so that the intelligent invigilation is carried out by a proper technical means, and the suspected cheating scenes in the examinees are automatically reminded, so that the invigilation teachers can conveniently carry out screening judgment. The on-line invigilation remote video cheating studying and judging method and the system aim to solve the problem that in the current background, by adopting a technical cheating studying and judging means, examinee information suspected of cheating is pushed to an invigilation teacher end, the invigilation teacher carries out subsequent processing, and in the current invigilation mode (under the condition that the on-line invigilation remote video cheating studying and judging method and the system are not adopted), whether cheating behaviors occur in the examination process of students can not be judged only through one camera.
Disclosure of Invention
Because the problems that whether the student cheats in the examination process and the supervision resource waste cannot be accurately judged in the prior art, the invention provides an on-line supervision remote video cheating research and judgment system and a method, and the specific invention scheme is as follows:
the first scheme is as follows: the system comprises a video acquisition module, a video stream synthesis module, a video pushing module, a study and judgment center server and an invigilating teacher end;
the video acquisition module is connected with the video stream synthesis module through signal transmission;
the video stream synthesis module remotely transmits data to the study and judgment center server through the connection data pushing module so as to establish connection;
the study and judgment center server establishes wireless connection with the invigilator teacher terminal.
Furthermore, the video acquisition module comprises a main machine position and an auxiliary machine position, wherein the auxiliary machine position consists of at least one camera.
Furthermore, the research and judgment center server comprises a video analysis module, a video stream research and judgment cheating module and a suspected cheating notification module; wherein the modules are connected in progressive logic order.
Furthermore, the video analysis module comprises an identification sub-module, a tracking sub-module and a storage sub-module;
the video stream judging and cheating module comprises a reading sub-module, a matching sub-module, a judging sub-system and a notification sub-module.
Scheme II: an on-line invigilating remote video cheating studying and judging method is realized based on the system, and comprises the following specific steps:
the video stream synthesis module carries out video synthesis on the video stream of the video acquisition module according to the position of a main machine position and the position of an auxiliary machine position and integrates the video stream into a multi-picture video stream;
step two, the video pushing module remotely sends the integrated video stream to the judging center server;
step three, the video analysis module analyzes the image frame by frame and extracts the feature points, and the feature filtering module filters the feature point data;
fourthly, the video stream cheating judging module judges the suspected cheating of the stored characteristic points and marks the characteristic points;
and step five, finally, pushing the video equipment terminal position information corresponding to the video stream marked with suspected cheating to the examination supervisor terminal through the suspected cheating notification module, and finishing examination cheating research and judgment.
Further, the multi-picture video stream processing in the step one specifically includes the following steps:
step one, single-picture image extraction is carried out on the output multi-picture image, then the extracted image is subjected to feature classification, and the images are obtained by a main machine position and an auxiliary machine position;
step two, the image data uses ffmpeg to realize the video stream splicing task, and demuxer in the ffmpeg is used to splice the input multi-channel video, so that the image data is spliced by the demuxer after the video and audio attributes are completely the same;
and step three, judging the authenticity of the examinee by using a face recognizer built in the opencv, and tracking the vision by using a classic vision tracking algorithm camshift algorithm of the opencv, so as to judge whether the eye spirit of the student is concentrated on the test paper.
Further, in the second step, the feature point extraction module includes the following steps:
secondly, extracting visual image features through the host position, wherein the visual image features comprise main visual angle sight range analysis;
secondly, extracting the characteristic of the auxiliary machine position behavior image, wherein the characteristic comprises action analysis and posture analysis of the behavior of the examinee;
and step two, identifying effective characteristics and storing the effective characteristics in a storage module through a characteristic filtering module.
Further, the video parsing module in the third step includes an identification submodule, a tracking submodule and a storage submodule, wherein the identification submodule is used for identifying the authenticity of an examinee in the video, the tracking submodule is used for identifying whether the sight line is in the specified range, and the storage submodule stores the identification tracking result in the server.
Further, the video stream judging and cheating module in the fourth step comprises a reading sub-module, a matching sub-module, a judging sub-module and a notification sub-module, wherein the reading sub-module reads the identification tracking result into an internal memory; the matching sub-module matches the recognition tracking result with the suspected cheating feature points of the system; the judging subsystem carries out suspected marking on the feature points which are successfully matched; the notifying sub-module notifies the examiner and the examiner of the suspected flag.
The invention has the beneficial effects that:
the invention judges whether the student cheats in the examination process accurately, in real time and effectively by video remote identification, saves invigilation resources due to remote image processing and invigilation reminding, and effectively reduces labor cost compared with the traditional invigilation mode; the image data uses ffmpeg to realize the video stream splicing task, and uses demuxer in the ffmpeg to realize the splicing of the image data, so that the attributes of video and audio can be ensured to be completely the same, and meanwhile, the authenticity of an examinee is judged by using a face recognizer built in opencv.
Drawings
FIG. 1 is a block diagram of an online proctor remote video cheating research and judgment system;
fig. 2 is a schematic flow chart of a method for online monitoring remote video cheating research and judgment.
Detailed Description
The first embodiment is as follows: the system for investigating and judging cheating of remote video by on-line invigilating is described by referring to the accompanying drawings 1-2, and the specific implementation process is as follows:
the system comprises a video acquisition module, a video stream synthesis module, a video pushing module, a study and judgment center server and an invigilator terminal, wherein the study and judgment center server comprises a video analysis module, a video stream study and judgment cheating module and a suspected cheating notification module, and all the modules are implemented in a progressive level according to the logic sequence;
the video acquisition module is connected with the video stream synthesis module through a wireless signal; the video stream synthesis module establishes connection with a study and judgment center server through remote data transmission; the study and judgment center server is in wireless connection with the invigilator teacher end; the video acquisition module comprises a main machine position and an auxiliary machine position and is responsible for acquiring images of an examination room and an examinee during examination;
the video analysis module comprises an identification submodule, a tracking submodule and a storage submodule;
the video stream judging cheating module consists of a reading sub-module, a matching sub-module, a judging sub-module and a notification sub-module.
The second embodiment is as follows: the detailed implementation process of an online invigilation remote video cheating studying and judging method is as follows with the description of the attached drawing descriptions 1-2:
step 1: the research and judgment center server acquires and stores the remotely transmitted synthesized multi-picture video stream in real time, wherein the video stream is from video data acquired from a main machine position and a plurality of auxiliary machine position devices of an examinee;
step 2: filtering image (action, posture and sight line range) feature points of each picture in the video stream;
and step 3: carrying out suspected cheating judgment on the stored characteristic points and marking the characteristic points;
and 4, step 4: and pushing the video equipment terminal corresponding to the video stream marked with the suspected cheating to the invigilator teacher terminal.
The third concrete implementation mode: in addition to the online monitoring remote video cheating studying and judging method described in step 1 of the second embodiment, the method further includes outputting and storing the video stream in a video frame mode, then extracting a single-picture image from the output multi-picture image, and finally performing feature classification on the extracted image, wherein the extracted image includes a main machine position, an auxiliary machine position and image data;
the method comprises the steps that a video splicing task is realized by using ffmpeg, input multi-channel videos are spliced by using demuxer in the ffmpeg, the attributes of the videos and the audios are required to be identical based on the splicing realized by the demuxer, and the video-audio stream cannot be influenced by decode- > encode in the mode;
the authenticity of the examinee is judged by using a face recognizer built in the opencv, and the vision is tracked by using a classic vision tracking algorithm camshift algorithm of the opencv, so that whether the eye spirit is concentrated on the test paper is judged.
The fourth concrete implementation mode: in addition to the online invigilation remote video cheating studying and judging method described in steps 2, 3 and 4 of the second embodiment, the method further comprises the steps of extracting feature points of images of the main machine position and the auxiliary machine position, analyzing the images frame by frame of a transmitted data stream, extracting the feature points, filtering the feature points and storing the filtered feature points;
secondly, reading the stored characteristic points; then, matching the read feature points with cheating features in a research and judgment system, and identifying the authenticity of the examinee in the video by using an identification submodule; the tracking sub-module identifies whether the sight is in a specified range; the storage submodule stores the identification tracking result to a server; and marking suspected cheating according to the matching result.
Thirdly, sorting the suspected cheating feature points, and reading the identification tracking result into an internal memory through a reading sub-module; matching the recognition tracking result with the suspected cheating feature points of the system by using a matching sub-module; utilizing a judging module: carrying out suspected marking on the feature points which are successfully matched; the notifying sub-module is used for notifying the suspected mark to the auditor and the examiner;
and finally, pushing the finishing result to a terminal of the invigilator equipment through a network.
The fifth concrete implementation mode: describing the specific implementation of the present invention with reference to fig. 1-2, the implementation process further includes the feature point extraction, wherein the feature extraction of the host position visual image includes the primary viewing angle line-of-sight range analysis; extracting the image characteristics of the auxiliary machine position behaviors, wherein the extraction comprises the action analysis and the posture analysis of the behavior of the examinee; identifying effective characteristics for data storage through matching of the characteristic library;
the studying and judging system comprises the steps of reading the feature points after the current video stream is filtered, matching the feature points with suspected cheating feature points in the studying and judging server, and finally marking the suspected cheating feature points which are successfully matched.
The above embodiments are merely illustrative of the present patent and do not limit the scope of the patent, and those skilled in the art can make modifications to the parts thereof without departing from the spirit and scope of the patent.
Claims (9)
1. The utility model provides a remote video of online invigilating cheats system of studying and judging which characterized in that: the system comprises a video acquisition module, a video stream synthesis module, a video pushing module, a study and judgment center server and an invigilating teacher end;
the video acquisition module is connected with the video stream synthesis module through signal transmission;
the video stream synthesis module remotely transmits data to the study and judgment center server through the connection data pushing module so as to establish connection;
the study and judgment center server establishes wireless connection with the invigilator teacher terminal.
2. The system of claim 1, wherein the system comprises: the video acquisition module comprises a main machine position and an auxiliary machine position, wherein the auxiliary machine position consists of at least one camera.
3. The system of claim 1, wherein the system comprises: the research and judgment center server comprises a video analysis module, a video stream research and judgment cheating module and a suspected cheating notification module; wherein the modules are connected in progressive logic order.
4. The system of claim 3, wherein the system comprises: the video analysis module comprises an identification submodule, a tracking submodule and a storage submodule;
the video stream judging and cheating module comprises a reading sub-module, a matching sub-module, a judging sub-system and a notification sub-module.
5. An online invigilation remote video cheating studying method, which is implemented based on the system of any one of claims 1-4, wherein: the method comprises the following specific steps:
the video stream synthesis module carries out video synthesis on the video stream of the video acquisition module according to the position of a main machine position and the position of an auxiliary machine position and integrates the video stream into a multi-picture video stream;
step two, the video pushing module remotely sends the integrated video stream to the judging center server;
step three, the video analysis module analyzes the image frame by frame and extracts the feature points, and the feature filtering module filters the feature point data;
fourthly, the video stream cheating judging module judges the suspected cheating of the stored characteristic points and marks the characteristic points;
and step five, finally, pushing the video equipment terminal position information corresponding to the video stream marked with suspected cheating to the examination supervisor terminal through the suspected cheating notification module, and finishing examination cheating research and judgment.
6. The method of claim 5, wherein the method comprises: the multi-picture video stream processing in the first step, the specific method steps are as follows:
step one, single-picture image extraction is carried out on the output multi-picture image, then the extracted image is subjected to feature classification, and the images are obtained by a main machine position and an auxiliary machine position;
step two, the image data uses ffmpeg to realize the video stream splicing task, and demuxer in the ffmpeg is used to splice the input multi-channel video, so that the image data is spliced by the demuxer after the video and audio attributes are completely the same;
and step three, judging the authenticity of the examinee by using a face recognizer built in the opencv, and tracking the vision by using a classic vision tracking algorithm camshift algorithm of the opencv, so as to judge whether the eye spirit of the student is concentrated on the test paper.
7. The method of claim 5, wherein the method comprises: in the second step, the feature point extraction module comprises the following steps:
secondly, extracting visual image features through the host position, wherein the visual image features comprise main visual angle sight range analysis;
secondly, extracting the characteristic of the auxiliary machine position behavior image, wherein the characteristic comprises action analysis and posture analysis of the behavior of the examinee;
and step two, identifying effective characteristics and storing the effective characteristics in a storage module through a characteristic filtering module.
8. The method of claim 5, wherein the method comprises: the video analysis module in the third step comprises an identification submodule, a tracking submodule and a storage submodule, wherein the identification submodule is used for identifying the authenticity of an examinee in the video, the tracking submodule is used for identifying whether the sight line is in the designated range, and the storage submodule stores the identification tracking result in the server.
9. The method of claim 5, wherein the method comprises: the video stream judging and cheating module in the fourth step comprises a reading sub-module, a matching sub-module, a judging sub-module and a notification sub-module, wherein the reading sub-module reads the identification tracking result into an internal memory; the matching sub-module matches the recognition tracking result with the suspected cheating feature points of the system; the judging subsystem carries out suspected marking on the feature points which are successfully matched; the notice submodule transmits the suspected mark to the meaning cheating notice module for processing.
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| CN113095675A (en) * | 2021-04-12 | 2021-07-09 | 华东师范大学 | Method for monitoring action mode of examinee by means of identification point in network examination |
| CN113095675B (en) * | 2021-04-12 | 2022-03-29 | 华东师范大学 | Method for monitoring action mode of examinee by means of identification point in network examination |
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| CN116580354A (en) * | 2023-05-11 | 2023-08-11 | 泰州市元根体育器材有限公司 | Remote education invigilation system with application mode switching |
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