CN116453066B - Intelligent video monitoring method and system for park - Google Patents
Intelligent video monitoring method and system for park Download PDFInfo
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- CN116453066B CN116453066B CN202310728153.7A CN202310728153A CN116453066B CN 116453066 B CN116453066 B CN 116453066B CN 202310728153 A CN202310728153 A CN 202310728153A CN 116453066 B CN116453066 B CN 116453066B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 103
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 10
- 230000005856 abnormality Effects 0.000 claims abstract description 5
- 230000002159 abnormal effect Effects 0.000 claims description 44
- 238000011156 evaluation Methods 0.000 claims description 28
- 238000012790 confirmation Methods 0.000 claims description 27
- 230000014759 maintenance of location Effects 0.000 claims description 20
- 238000007781 pre-processing Methods 0.000 claims description 15
- 230000004044 response Effects 0.000 claims description 10
- 230000008030 elimination Effects 0.000 abstract description 4
- 238000003379 elimination reaction Methods 0.000 abstract description 4
- 230000002452 interceptive effect Effects 0.000 abstract description 4
- 230000008569 process Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006978 adaptation Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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Abstract
The application relates to the field of monitoring management of parks and discloses a method and a system for monitoring intelligent videos of parks, wherein the method comprises a monitoring marking module, an abnormality judging module, a request responding module and a matching evaluating module; through establishing interactive link with garden enterprise system and garden monitored control system for the staff of enterprise can confirm the request through the record and carry out the judgement of affirming of unexpected journey to garden monitored control system, when carrying out, the identification mark of the video monitoring's that carries out in the garden and moving object, and go beyond the judgement of conventional stay time, thereby carry out record elimination processing to the unexpected journey time consumption of enterprise staff, can make things convenient for the collaborative management of enterprise and garden, conveniently backtrack and handle when the staff of enterprise leads to the attendance problem because of problems such as traffic equipment in the garden.
Description
Technical Field
The application relates to the field of park monitoring management, in particular to a park intelligent video monitoring method and system.
Background
The park monitoring system is an important guarantee system for guaranteeing the safety of park personnel and property, and records illegal behaviors and safety events are recorded through the monitoring operation in an all-time period, so that the park can be monitored in all directions, and subsequent backtracking and judgment of occasional events are facilitated.
Most of the park monitoring systems in the prior art are singly used for safety supervision, but under the environment of the park, the park monitoring systems can be used for increasing the utilization rate of the monitoring systems in the aspect of data processing backtracking in more scenes, more convenience can be provided for park enterprises, and the park monitoring systems can be found and processed faster when equipment faults occur in the monitoring systems through the improvement of the utilization rate.
Disclosure of Invention
The application aims to provide a method and a system for intelligent video monitoring of a park, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions:
a campus intelligent video monitoring system comprising:
the monitoring marking module is used for acquiring park monitoring data acquired by the video acquisition module, preprocessing the park monitoring data to code and mark identification objects in the park monitoring data, wherein the preprocessing comprises moving object identification, object feature acquisition, feature object numbering and motion tracking record;
the abnormality judgment module is used for acquiring the motion tracking record of the identification object, judging the detention time length generated in a plurality of park areas, judging the detention time length based on the preset passing time length of the corresponding park area, and if the detention time length exceeds the preset passing time length, performing abnormality marking on the time period corresponding to the detention time length;
the request response module is used for acquiring a record confirmation request from a user, acquiring the identity identification information of the user based on the record confirmation request, and matching a plurality of identification objects corresponding to the coding marks based on the identity identification information so as to acquire a motion tracking record matched with the user, wherein the motion tracking record comprises an abnormal mark;
the matching evaluation module is used for obtaining the recording duration requirement of the user through the recording confirmation request, making a difference between the retention duration of the abnormal mark and the preset passing duration, counting the difference values corresponding to the plurality of abnormal marks of the motion tracking record, obtaining additional time consumption, and comparing the additional time consumption with the recording duration requirement to generate an evaluation result expressing a size result.
As a further aspect of the application: the system also comprises a request feedback module;
the request feedback module is used for generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
As still further aspects of the application: the system also comprises a feedback response module, which specifically comprises:
the record passing unit is used for acquiring an abnormal mark in the corresponding motion tracking record when the request feedback information characterizes the request to pass, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be normal;
and the recording and rejecting unit is used for acquiring the corresponding abnormal mark in the motion tracking record when the request feedback information characterizes the request not to pass, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be not passed.
As still further aspects of the application: the system also comprises a record request generation module;
the record request generation module is used for acquiring the attendance record time of a user and the preset attendance time of an enterprise corresponding to the user when the user initiates a request, making a difference between the attendance record time and the preset attendance time to acquire record duration requirements, establishing a record confirmation request based on the record duration requirements and the identity identification information of the user, wherein the preset attendance time represents the working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
As still further aspects of the application: the monitoring and marking module comprises:
the data acquisition unit is used for acquiring park monitoring data acquired by the video acquisition module, wherein the park monitoring data comprises an acquisition equipment module number and a park position area mark representing an acquisition range;
the object identification unit is used for processing the park monitoring data through a preset moving object identification program, marking the moving objects in the park monitoring data, acquiring characteristic images of the moving objects, and marking codes based on the characteristic images;
and the motion recording unit is used for performing motion tracking on the motion object corresponding to the characteristic image and recording and generating a motion tracking record.
The embodiment of the application aims to provide a park intelligent video monitoring method, which comprises the following steps:
the method comprises the steps of acquiring park monitoring data acquired through a video acquisition module, preprocessing the park monitoring data to code and mark identification objects in the park monitoring data, wherein the preprocessing comprises moving object identification, object feature acquisition, feature object numbering and motion tracking record;
acquiring a motion tracking record of an identification object, judging retention time lengths generated in a plurality of park areas, judging the retention time lengths based on preset passing time lengths of the corresponding park areas, and if the preset passing time lengths are exceeded, carrying out abnormal marking on a time period corresponding to the retention time lengths;
acquiring a record confirmation request from a user, acquiring identity identification information of the user based on the record confirmation request, and matching identification objects corresponding to a plurality of coding marks based on the identity identification information to acquire a motion tracking record matched with the user, wherein the motion tracking record comprises an abnormal mark;
obtaining the recording time length requirement of a user through the recording confirmation request, differentiating the retention time length of the abnormal mark and the preset passing time length, counting the difference values corresponding to the plurality of abnormal marks recorded by the motion tracking, obtaining additional time consumption, and comparing the additional time consumption with the recording time length requirement to generate an evaluation result of the expression result.
As a further aspect of the application: the method also comprises the steps of:
generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
As still further aspects of the application: the method also comprises the steps of:
when the request feedback information characterizes that the request passes, acquiring an abnormal mark in a corresponding motion tracking record, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be normal;
and when the request feedback information characterizes that the request fails, acquiring an abnormal mark in the corresponding motion tracking record, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be failed.
As still further aspects of the application: the method also comprises the steps of:
when a user initiates a request, the attendance record time of the user and the preset attendance time of an enterprise corresponding to the user are obtained, the attendance record time and the preset attendance time are subjected to difference so as to obtain a recording duration requirement, a recording confirmation request is established based on the recording duration requirement and the identity identification information of the user, the preset attendance time represents a working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
As still further aspects of the application: the step of obtaining the park monitoring data collected through the video collection module, preprocessing the park monitoring data so as to code and mark the identification object in the park monitoring data comprises the following steps:
acquiring park monitoring data acquired by a video acquisition module, wherein the park monitoring data comprises an acquisition equipment module number and a park position area mark representing an acquisition range;
processing the park monitoring data through a preset moving object identification program, marking the moving objects in the park monitoring data, acquiring characteristic images of the moving objects, and marking codes based on the characteristic images;
and carrying out motion tracking on the moving object corresponding to the characteristic image, and recording to generate a motion tracking record.
Compared with the prior art, the application has the beneficial effects that: through establishing interactive link with garden enterprise system and garden monitored control system for the staff of enterprise can confirm the request through the record and carry out the judgement of affirming of unexpected journey to garden monitored control system, when carrying out, the identification mark of the video monitoring's that carries out in the garden and moving object, and go beyond the judgement of conventional stay time, thereby carry out record elimination processing to the unexpected journey time consumption of enterprise staff, can make things convenient for the collaborative management of enterprise and garden, conveniently backtrack and handle when the staff of enterprise leads to the attendance problem because of problems such as traffic equipment in the garden.
Drawings
FIG. 1 is a block diagram of a campus intelligent video monitoring system;
FIG. 2 is a block diagram of a feedback response module in a campus intelligent video monitoring system;
FIG. 3 is a block diagram of a monitoring and marking module in a campus intelligent video monitoring system;
fig. 4 is a flow chart diagram of a method for intelligent video monitoring of a campus.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Specific implementations of the application are described in detail below in connection with specific embodiments.
As shown in fig. 1, a campus intelligent video monitoring system according to an embodiment of the present application includes the following steps:
the monitoring marking module 100 is configured to acquire park monitoring data acquired by the video acquisition module, perform preprocessing on the park monitoring data, so as to perform coding marking on an identification object in the park monitoring data, where the preprocessing includes moving object identification, object feature acquisition, feature object numbering and motion tracking record.
The anomaly determination module 300 is configured to obtain motion tracking records of identification objects, determine retention time lengths generated in a plurality of campus areas, determine the retention time lengths based on preset passing time lengths of the corresponding campus areas, and if the retention time lengths exceed the preset passing time lengths, perform anomaly marking on time periods corresponding to the retention time lengths.
The request response module 500 is configured to obtain a record confirmation request from a user, obtain identification information of the user based on the record confirmation request, and match identification objects corresponding to a plurality of encoding marks based on the identification information, so as to obtain a motion tracking record matched with the user, where the motion tracking record includes an anomaly mark.
The matching evaluation module 700 is configured to obtain a record duration requirement of a user through the record confirmation request, make a difference between a retention duration of the abnormal mark and the preset pass duration, and count differences corresponding to the plurality of abnormal marks in the motion tracking record, so as to obtain additional time consumption, and compare the additional time consumption with the record duration requirement to generate an evaluation result expressing a size result.
In the embodiment, a park only video monitoring system is provided, and interactive links are established between a park enterprise system and the park monitoring system, so that staff of an enterprise can carry out identification judgment of unexpected journey to the park monitoring system through a record confirmation request, and when the system is executed, the park monitoring system carries out judgment exceeding the conventional retention time through video monitoring acquisition and moving object identification mark in the park, so that record elimination processing is carried out on unexpected journey time consumption of staff of the enterprise, collaborative management of the enterprise and the park can be facilitated, and backtracking and processing are facilitated when the staff of the enterprise causes attendance problems due to traffic equipment and other problems in the park; when the system is used, monitoring equipment of the park monitors all places in the park (such as a vehicle entering place of the park, an elevator entrance of a garage and the like) to acquire corresponding park monitoring data, moving objects in the park monitoring data are identified, such as vehicle objects, personnel objects and the like, the moving objects are identified and then marked, the moving paths and time nodes in the moving process are tracked and recorded, so that the time consumed by the moving objects in the moving paths can be known, comparison is performed based on the time required in a normal state, whether the time consumption of a user when the user passes through the place is normal or not can be known, for example, three minutes are required for entering the park through the user, but ten minutes are required for delaying a user due to an irresistible event in the morning, if the user arrives at five minutes, the seven minutes can be used as a judgment basis if the user requests to recover the attendance check, and the video is not required to be compared only in the judgment when the judgment is performed, and if the user does not actually judge the feedback event is required to be fed back by himself.
As another preferred embodiment of the present application, the system further comprises a request feedback module;
the request feedback module is used for generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
As shown in fig. 2, further, the feedback response module 900 further includes:
the record passing unit 901 is configured to obtain an abnormal mark in a corresponding motion tracking record when the request feedback information characterizes the request to pass, mark the attendance information of the user using the abnormal mark, and correct the state of the attendance information to be normal.
And a recording rejection unit 902, configured to obtain an abnormal mark in the corresponding motion tracking record when the request feedback information indicates that the request fails, mark the attendance information of the user using the abnormal mark, and correct the state of the attendance information to be failed.
In this embodiment, a request feedback module and a feedback response module 900 for establishing interactive response between the campus and the enterprise are supplemented, where the request feedback module is configured to establish request feedback information for the evaluation result and feedback the request feedback information to the enterprise terminal to respond to the user's request, and if the portion of the attendance excess time of the enterprise user that needs to be counteracted is less than the extra time consumption generated by the unexpected event of the campus, feedback the request feedback module to the enterprise terminal to process the attendance time of the user to be normal through the feedback response module 900, otherwise, inform the details, where each step includes a data exchange confirmation step of feeding back the vehicle and the moving object matched with the user to the enterprise terminal to perform manual verification.
As another preferred embodiment of the present application, the system further comprises a record request generation module;
the record request generation module is used for acquiring the attendance record time of a user and the preset attendance time of an enterprise corresponding to the user when the user initiates a request, making a difference between the attendance record time and the preset attendance time to acquire record duration requirements, establishing a record confirmation request based on the record duration requirements and the identity identification information of the user, wherein the preset attendance time represents the working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
In this embodiment, the generation of the record confirmation request is described herein, which includes the time length of the attendance delay for the enterprise user to perform record elimination, that is, the difference between the time when the user actually punches a card and the actual time when the enterprise starts attendance; the method also comprises the step of acquiring user information, wherein the information comprises characteristic information of the user, other carrier information used when the user enters the garden area and the like, and the characteristic information, the carrier information and the like are used for matching the coded mark identification object.
As shown in fig. 3, as another preferred embodiment of the present application, the monitoring and marking module 100 includes:
the data acquisition unit 101 is used for acquiring park monitoring data acquired through the video acquisition module, wherein the park monitoring data comprises an acquisition equipment module number and a park position area mark representing an acquisition range.
The object recognition unit 102 is configured to process the campus monitoring data through a preset moving object recognition program, mark a moving object in the campus monitoring data, obtain a feature image of the moving object, and perform coding marking based on the feature image.
And the motion recording unit 103 is used for performing motion tracking on the motion object corresponding to the characteristic image and recording and generating a motion tracking record.
In this embodiment, the monitoring and marking module 100 is described, and includes time and location information when data acquisition is performed in the campus monitoring, so as to facilitate quick positioning according to the record information provided by the user, that is, in the record information, time and location information may also be included, so as to facilitate quick implementation of matching.
As shown in fig. 4, the application further provides a method for intelligent video monitoring of a park, which comprises the following steps:
s200, acquiring park monitoring data acquired through a video acquisition module, preprocessing the park monitoring data to code and mark identification objects in the park monitoring data, wherein the preprocessing comprises moving object identification, object feature acquisition, feature object numbering and motion tracking record.
S400, acquiring a motion tracking record of an identification object, judging retention time lengths generated in a plurality of park areas, judging the retention time lengths based on preset passing time lengths of the corresponding park areas, and if the preset passing time lengths are exceeded, carrying out abnormal marking on time periods corresponding to the retention time lengths.
S600, acquiring a record confirmation request from a user, acquiring the identity identification information of the user based on the record confirmation request, and matching identification objects corresponding to a plurality of coding marks based on the identity identification information to acquire a motion tracking record matched with the user, wherein the motion tracking record comprises an abnormal mark.
S800, obtaining the recording duration requirement of the user through the recording confirmation request, making a difference between the retention duration of the abnormal mark and the preset passing duration, counting the difference values corresponding to the plurality of abnormal marks recorded by the motion tracking, obtaining additional time consumption, and comparing the additional time consumption with the recording duration requirement to generate an evaluation result of the expression result.
As another preferred embodiment of the present application, further comprising the steps of:
generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
As another preferred embodiment of the present application, further comprising the steps of:
when the request feedback information characterizes the request to pass, an abnormal mark in the corresponding motion tracking record is obtained, the abnormal mark is used for marking the attendance information of the user, and the state of the attendance information is corrected to be normal.
And when the request feedback information characterizes that the request fails, acquiring an abnormal mark in the corresponding motion tracking record, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be failed.
As another preferred embodiment of the present application, further comprising the steps of:
when a user initiates a request, the attendance record time of the user and the preset attendance time of an enterprise corresponding to the user are obtained, the attendance record time and the preset attendance time are subjected to difference so as to obtain a recording duration requirement, a recording confirmation request is established based on the recording duration requirement and the identity identification information of the user, the preset attendance time represents a working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
As another preferred embodiment of the present application, the step of acquiring the campus monitoring data acquired by the video acquisition module, and preprocessing the campus monitoring data to code and mark the identification object in the campus monitoring data includes:
the method comprises the steps of acquiring park monitoring data acquired through a video acquisition module, wherein the park monitoring data comprise acquisition equipment module numbers and park position area marks representing an acquisition range.
And processing the park monitoring data through a preset moving object identification program, marking the moving objects in the park monitoring data, acquiring characteristic images of the moving objects, and marking codes based on the characteristic images.
And carrying out motion tracking on the moving object corresponding to the characteristic image, and recording to generate a motion tracking record.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A campus intelligent video monitoring system, comprising:
the monitoring marking module is used for acquiring park monitoring data acquired by the video acquisition module, preprocessing the park monitoring data to code and mark identification objects in the park monitoring data, wherein the preprocessing comprises moving object identification, object feature acquisition, feature object numbering and motion tracking record;
the abnormality judgment module is used for acquiring the motion tracking record of the identification object, judging the detention time length generated in a plurality of park areas, judging the detention time length based on the preset passing time length of the corresponding park area, and if the detention time length exceeds the preset passing time length, performing abnormality marking on the time period corresponding to the detention time length;
the request response module is used for acquiring a record confirmation request from a user, acquiring the identity identification information of the user based on the record confirmation request, and matching a plurality of identification objects corresponding to the coding marks based on the identity identification information so as to acquire a motion tracking record matched with the user, wherein the motion tracking record comprises an abnormal mark;
the matching evaluation module is used for obtaining the recording duration requirement of the user through the recording confirmation request, making a difference between the retention duration of the abnormal mark and the preset passing duration, counting the difference values corresponding to the plurality of abnormal marks of the motion tracking record, obtaining additional time consumption, and comparing the additional time consumption with the recording duration requirement to generate an evaluation result expressing a size result.
2. The intelligent video monitoring system for a campus of claim 1, further comprising a request feedback module;
the request feedback module is used for generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
3. The intelligent video monitoring system for a campus of claim 2, further comprising a feedback response module, specifically comprising:
the record passing unit is used for acquiring an abnormal mark in the corresponding motion tracking record when the request feedback information characterizes the request to pass, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be normal;
and the recording and rejecting unit is used for acquiring the corresponding abnormal mark in the motion tracking record when the request feedback information characterizes the request not to pass, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be not passed.
4. The intelligent video monitoring system for a campus of claim 1, further comprising a record request generation module;
the record request generation module is used for acquiring the attendance record time of a user and the preset attendance time of an enterprise corresponding to the user when the user initiates a request, making a difference between the attendance record time and the preset attendance time to acquire record duration requirements, establishing a record confirmation request based on the record duration requirements and the identity identification information of the user, wherein the preset attendance time represents the working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
5. The intelligent video monitoring system for a campus of claim 4, wherein the monitoring marking module comprises:
the data acquisition unit is used for acquiring park monitoring data acquired by the video acquisition module, wherein the park monitoring data comprises an acquisition equipment module number and a park position area mark representing an acquisition range;
the object identification unit is used for processing the park monitoring data through a preset moving object identification program, marking the moving objects in the park monitoring data, acquiring characteristic images of the moving objects, and marking codes based on the characteristic images;
and the motion recording unit is used for performing motion tracking on the motion object corresponding to the characteristic image and recording and generating a motion tracking record.
6. The intelligent video monitoring method for the park is characterized by comprising the following steps:
the method comprises the steps of acquiring park monitoring data acquired through a video acquisition module, preprocessing the park monitoring data to code and mark identification objects in the park monitoring data, wherein the preprocessing comprises moving object identification, object feature acquisition, feature object numbering and motion tracking record;
acquiring a motion tracking record of an identification object, judging retention time lengths generated in a plurality of park areas, judging the retention time lengths based on preset passing time lengths of the corresponding park areas, and if the preset passing time lengths are exceeded, carrying out abnormal marking on a time period corresponding to the retention time lengths;
acquiring a record confirmation request from a user, acquiring identity identification information of the user based on the record confirmation request, and matching identification objects corresponding to a plurality of coding marks based on the identity identification information to acquire a motion tracking record matched with the user, wherein the motion tracking record comprises an abnormal mark;
obtaining the recording time length requirement of a user through the recording confirmation request, differentiating the retention time length of the abnormal mark and the preset passing time length, counting the difference values corresponding to the plurality of abnormal marks recorded by the motion tracking, obtaining additional time consumption, and comparing the additional time consumption with the recording time length requirement to generate an evaluation result of the expression result.
7. The intelligent video monitoring method for a campus of claim 6, further comprising the steps of:
generating request feedback information based on the evaluation result, and generating request feedback information representing the passing of a user request and forwarding the request feedback information to a request end when the evaluation result represents that the additional time consumption is smaller than or equal to the recording duration requirement; and when the evaluation result represents that the extra time consumption is greater than the recording duration requirement, generating request feedback information representing that the user request does not pass, and forwarding the request feedback information to a request end.
8. The intelligent video monitoring method for a campus of claim 7, further comprising the steps of:
when the request feedback information characterizes that the request passes, acquiring an abnormal mark in a corresponding motion tracking record, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be normal;
and when the request feedback information characterizes that the request fails, acquiring an abnormal mark in the corresponding motion tracking record, marking the attendance information of the user by using the abnormal mark, and correcting the state of the attendance information to be failed.
9. The intelligent video monitoring method for a campus of claim 6, further comprising the steps of:
when a user initiates a request, the attendance record time of the user and the preset attendance time of an enterprise corresponding to the user are obtained, the attendance record time and the preset attendance time are subjected to difference so as to obtain a recording duration requirement, a recording confirmation request is established based on the recording duration requirement and the identity identification information of the user, the preset attendance time represents a working time node of the enterprise, and the identity identification information comprises user biological characteristic information and user vehicle carrier information.
10. The intelligent video monitoring method according to claim 9, wherein the step of acquiring the campus monitoring data collected by the video collecting module, and preprocessing the campus monitoring data to code and mark the identification object in the campus monitoring data comprises:
acquiring park monitoring data acquired by a video acquisition module, wherein the park monitoring data comprises an acquisition equipment module number and a park position area mark representing an acquisition range;
processing the park monitoring data through a preset moving object identification program, marking the moving objects in the park monitoring data, acquiring characteristic images of the moving objects, and marking codes based on the characteristic images;
and carrying out motion tracking on the moving object corresponding to the characteristic image, and recording to generate a motion tracking record.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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| CN115223100A (en) * | 2022-08-02 | 2022-10-21 | 上海三力信息科技有限公司 | Intelligent park abnormal person identification method, system, equipment and storage medium |
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| US10586436B1 (en) * | 2018-08-24 | 2020-03-10 | Sensormatic Electronics, LLC | System and method for tracking students |
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| CN104915655A (en) * | 2015-06-15 | 2015-09-16 | 西安电子科技大学 | Multi-path monitor video management method and device |
| CN110443109A (en) * | 2019-06-11 | 2019-11-12 | 万翼科技有限公司 | Abnormal behaviour monitor processing method, device, computer equipment and storage medium |
| CN113489769A (en) * | 2021-06-30 | 2021-10-08 | 武汉创蓝网络技术有限公司 | Wisdom garden integration integrated service management system |
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