CN112991655A - Method and device for dynamically adjusting monitoring camera set - Google Patents
Method and device for dynamically adjusting monitoring camera set Download PDFInfo
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- CN112991655A CN112991655A CN201911287412.7A CN201911287412A CN112991655A CN 112991655 A CN112991655 A CN 112991655A CN 201911287412 A CN201911287412 A CN 201911287412A CN 112991655 A CN112991655 A CN 112991655A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19663—Surveillance related processing done local to the camera
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19665—Details related to the storage of video surveillance data
- G08B13/19669—Event triggers storage or change of storage policy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
- H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
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Abstract
The invention discloses a method and a device for dynamically adjusting a monitoring camera set, which classify event information according to event types according to various event information of a current city, determine the severity grade and the occurrence frequency corresponding to the event types, establish the monitoring camera set according to the event types, divide the monitoring camera set into different monitoring grades according to the severity grade and the occurrence frequency corresponding to the event types, set corresponding execution strategies according to the monitoring grades, and monitor according to the execution strategies. The invention combines the real-time state change of the historical event and the real-time event to automatically adjust the monitoring camera set, thereby improving the real-time performance and the accuracy.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a method and a device for dynamically adjusting a monitoring camera set.
Background
Video monitoring is an important component of a safety precaution system, and is widely applied to many occasions due to intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computers, networks, image processing and transmission technologies, the popularization trend of video monitoring is more and more obvious.
The video monitoring system can perform key check on the key area, and the current common mode is to set the monitoring camera in the key area as a camera set to perform live monitoring. The camera group can be set as a round-cut group or a round-patrol group, wherein the round-cut is to circularly play live images of all cameras in the round-cut resource through a certain video pane or a monitor; round robin refers to the cycling of multiple cameras live at certain intervals on multiple video panes or monitors.
When a round-cut group or a round-patrol group is set, the switching intervals among the cameras are also set, and whether safety problems exist or not is checked by automatically switching the live broadcasting of the cameras in the key areas in such a mode. However, the problem with the prior art is that the key area and the monitoring cameras may change with the social security events, and the prior art only manually sets the round-cutting group or round-going group of the cameras, and at this time, the manual setting mode cannot be updated in time, and the events cannot be intelligently grouped. If the key area changes, the setting needs to be manually changed; when a new emergency occurs, the corresponding monitoring camera set cannot be sensed and established in time.
Disclosure of Invention
The invention aims to provide a method and a device for dynamically adjusting a monitoring camera set, which aim to solve the problem that the prior art cannot sense and establish the corresponding monitoring camera set in time.
In order to achieve the purpose, the technical scheme of the application is as follows:
a method for dynamically adjusting a monitoring camera group comprises the following steps:
acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type, and determining a severity level and occurrence frequency corresponding to the event type;
searching surrounding monitoring cameras according to the occurrence position of the event, and establishing a monitoring camera set according to the event type;
and dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
According to an implementation manner of the present application, the monitoring camera group is divided into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, including:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
According to another implementation manner of the present application, the dividing of the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type includes:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
Further, the execution strategy includes a switching time of the monitoring camera group.
Further, the method for dynamically adjusting the monitoring camera group further includes:
receiving the real-time event information, adding the real-time event information into a data table generated by classifying the event information according to the event type, generating a corresponding monitoring camera set for the real-time event, dynamically adjusting the monitoring level of the monitoring camera set according to the severity level and the occurrence frequency corresponding to the real-time event, and setting a corresponding execution strategy according to the monitoring level.
The application also provides a device of dynamic adjustment surveillance camera unit, includes:
the data sorting module is used for acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type and determining the severity level and the occurrence frequency corresponding to the event type;
the monitoring camera set creating module is used for searching surrounding monitoring cameras according to the occurrence position of the event and creating a monitoring camera set according to the type of the event;
and the execution module is used for dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
According to an implementation manner of the application, the execution module divides the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
In another implementation manner, the execution module divides the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
Further, the execution strategy includes a switching time of the monitoring camera group.
Further, the device for dynamically adjusting the monitoring camera set further includes:
and the adjusting module is used for receiving the real-time event information, adding the real-time event information into a data table generated by classifying the event information according to the event type, generating a corresponding monitoring camera group for the real-time event, dynamically adjusting the monitoring level of the monitoring camera group according to the severity level and the occurrence frequency corresponding to the real-time event, and setting a corresponding execution strategy according to the monitoring level.
The application provides a method and a device for dynamically adjusting a monitoring camera set, wherein event information is classified according to event types according to various types of event information of a current city, severity levels and occurrence frequencies corresponding to the event types are determined, the monitoring camera set is established according to the event types, the monitoring camera set is divided into different monitoring levels according to the severity levels and the occurrence frequencies corresponding to the event types, corresponding execution strategies are set according to the monitoring levels, and monitoring is carried out according to the execution strategies. The invention combines the real-time state change of the historical event and the real-time event to automatically adjust the monitoring camera set, thereby improving the real-time performance and the accuracy.
Drawings
Fig. 1 is a flowchart of a method for dynamically adjusting a monitoring camera group according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a method for dynamically adjusting a group of monitoring cameras, including:
acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type to generate a data table, and determining a severity level and occurrence frequency corresponding to the event type;
searching surrounding monitoring cameras according to the occurrence position of the event, and establishing a monitoring camera set according to the event type;
and dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
It is easy to understand that in an actual monitoring system, information of related events, such as alarms, clues, cases, violations, etc., occurring in the monitoring system is already stored in each database table of the monitoring system.
For example, in table 1, the details of the alarm event are described, and it can be seen that some key features, such as crowd alarm, are recorded therein.
TABLE 1
In tables 2 and 3, specific contents of the vehicle illegal event are recorded, and some key features, such as illegal backing regulation, are recorded therein.
TABLE 2
| Category of law violation | Violation information |
| 444200 | Lane change influences normal running of motor vehicle in lane |
| 450000 | Violate the rule of backing a car |
| 462030 | When driving, dialing and answering hand-held telephone and watching TV |
| 478100 | Driving below the prescribed minimum speed on a high speed road |
| 482030 | On high-speed roads on both sides of lane or on shoulders |
| …… | …… |
TABLE 3
Therefore, the event type is determined according to the key features by extracting the key features of the event, and the event information is classified according to the event type to determine the severity level and the occurrence frequency corresponding to the event type.
For example, according to the contents of table 1, the categorized data table is as follows:
TABLE 4
Alternatively, according to tables 2-3, vehicle unlawful behaviors are categorized as follows:
TABLE 5
After the event information is classified, a corresponding severity level can be set for each event type according to the specific content and social influence of the event.
For example, three severity levels were set, with M1 being the most severe, M2 being more severe, and M3 being less severe.
In table 4 and table 5, the present application also counts the number of times each event type occurs, so that the corresponding occurrence frequency N can be obtained.
According to the method and the device, for each event, the surrounding monitorable cameras can be searched according to the occurrence position of the event, the monitoring camera set is automatically generated, and alternate cutting or alternate patrol is performed as shown in the table 6.
For example, if a robbery and escape event is found in the data, the monitoring cameras in the monitoring area related to the event position, the monitoring cameras in the surrounding area, the key checkpoint and other areas are set as the same group; for the event of the crowd, the crowd areas of the whole city are grouped.
It is easy to understand that there may be many surveillance cameras at the event occurrence location, however, these surveillance cameras may not be able to accurately view the information of the event location, and the camera list around the event may be obtained by searching the platform database table. A general video monitoring system has a data table of a camera list, in which the position, the visible range, and the like of a camera are recorded. And selecting a monitoring camera with a visible range capable of covering the areas according to the event occurrence position, wherein for a ball machine, the covering distance can meet the requirement, and for a gun camera, whether the camera can cover the event position or not is selected. The embodiment needs to select the cameras capable of covering the event occurrence position to form a monitoring camera group. Of course, in the event of a monitoring camera requiring a monitoring camera in a peripheral area, a monitoring camera in a key gate, or the like, it is necessary to put these cameras in the monitoring camera group.
When the surveillance cameras in the peripheral area, the key gate and other areas are obtained, the surveillance cameras in the set range or the cameras in the road gates around the event position can be called according to the electronic map, and the details are not repeated here.
TABLE 6
The method and the device also divide the monitoring camera set into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and set corresponding execution strategies according to the monitoring levels.
Embodiment 1, the dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type includes:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
For example, the class a is the highest monitoring level, which indicates that there is a relatively serious high-risk event in the monitoring scenes in the group; the hazard degree of the B class is reduced compared with that of the A class and is smaller than that of the A class; class C is the lowest monitoring level.
The monitoring levels can be divided according to the severity level and the occurrence frequency corresponding to the event, for example, the occurrence frequency exceeds N1 in a set period, and the severity level exceeds M1 and is divided into A types; the occurrence frequency exceeds N2 in a set period, and the severity grade exceeds M2, so that the classification is carried out to B class; by analogy, the number of the divided monitoring levels is not limited, and the method is not limited to a specific monitoring level division method.
It should be noted that, when determining the monitoring level, the monitoring level may be set only according to the severity level or the occurrence frequency corresponding to the event type, or may be set according to the severity level and the occurrence frequency corresponding to the event type at the same time, which is not limited in this application.
Embodiment 2, the dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type includes:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
When the monitoring level is divided, according to the severity level and the occurrence frequency corresponding to the event type, the event influence parameter K is calculated according to a preset formula, and the monitoring level is divided according to the event influence parameter K, for example:
K＝α*N+β*M
then, when the monitoring level is divided, if the influence parameter K exceeds the set parameter K1, the monitoring level is divided into A class; if the influence parameter K exceeds the set parameter K2, classifying the influence parameter into B class; by analogy, the number of the divided monitoring levels is not limited, and the application is not limited to a specific formula for calculating the event influence parameters. Wherein, alpha and beta are set coefficients, N is the frequency of occurrence, and M is the severity level.
In this embodiment, a corresponding execution policy is set according to the monitoring level, and monitoring is performed according to the execution policy. After the monitoring levels are divided, the execution strategies corresponding to different monitoring levels can be set. The execution strategy may include the switching time interval, and may also include whether to link with the wall, whether to need a default backup video, etc.
For the switching time interval of the a/B/C class, it can be formulated according to the situation of the field, and the switching time interval is automatically generated for different monitoring levels in this embodiment. For the type A key monitoring, the priority of the corresponding monitoring camera is promoted to the highest level in the whole round cutting and round patrolling plan, meanwhile, for the type A key monitoring, the switching interval period is the longest and can be set to 15, and the specific time can be adjusted according to the field condition. For the B-type key monitoring, the priority can be set to 10 after the priority is A-type, and the specific time can be adjusted according to the field condition; for class C monitoring, where the least risk exists, the priority and the switching interval time may be reduced.
After the setting is completed, when an event occurs or some events need to be monitored, the corresponding monitoring camera group can be selected for alternate cutting or alternate patrol for monitoring.
In another embodiment, the present application provides a method for dynamically adjusting a group of monitoring cameras, further including:
receiving event information in real time, adding the event information into a data table generated by classifying the event information according to event types, generating a corresponding monitoring camera set for the event, dynamically adjusting the monitoring level of the monitoring camera set according to the severity level and the occurrence frequency corresponding to the event, and setting a corresponding execution strategy according to the monitoring level.
That is, when the monitoring camera set is in round-robin, various social events occur in the society, and the frequency of events corresponding to the original monitoring scene area is reduced or changed along with the measures of solving a case, checking and the like, so that dynamic adjustment needs to be performed according to the real-time event change.
It is easy to understand that when a real-time event occurs, the event information needs to be added into a data table generated by classifying the event information according to the event type, and the data table is updated.
The analysis is performed in conjunction with table 6, and if there is already a corresponding group of monitoring cameras, the real-time event is associated with that group of monitoring cameras. For example, if the real-time event is a violation of the reversing rule and the camera whose position is covered by the real-time event is already in the group of monitoring cameras 1q000001, the group of monitoring cameras 1q000001 is the corresponding group of monitoring cameras. For example, if the real-time event is a violation of the reversing rule but the camera covering the position is not in any monitoring camera group, a new monitoring camera group may be created, or the camera covering the position may be added to the existing monitoring camera group 1q 000001.
In this embodiment, the severity level and the occurrence frequency corresponding to the event type are also updated at the same time, the monitoring level of the monitoring camera group is dynamically adjusted, and a corresponding execution policy is set according to the monitoring level. For example, the occurrence frequency corresponding to the event type becomes smaller, which results in a lower monitoring level, so that the time for switching can be appropriately shortened.
In one embodiment, the present application further provides an apparatus for dynamically adjusting a monitoring camera group, including:
the data sorting module is used for acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type and determining the severity level and the occurrence frequency corresponding to the event type;
the monitoring camera set creating module is used for searching surrounding monitoring cameras according to the occurrence position of the event and creating a monitoring camera set according to the type of the event;
and the execution module is used for dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
For the specific limitation of the device for dynamically adjusting the group of monitoring cameras, reference may be made to the above limitation on the method for dynamically adjusting the group of monitoring cameras, and details are not described here again. All or part of each module in the device for dynamically adjusting the monitoring camera group can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, the execution module divides the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
In one embodiment, the execution module divides the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
In one embodiment, the execution policy includes a switching time of the group of monitoring cameras.
In one embodiment, the apparatus for dynamically adjusting a group of monitoring cameras further includes:
and the adjusting module is used for receiving the real-time event information, adding the real-time event information into a data table generated by classifying the event information according to the event type, generating a corresponding monitoring camera group for the real-time event, dynamically adjusting the monitoring level of the monitoring camera group according to the severity level and the occurrence frequency corresponding to the real-time event, and setting a corresponding execution strategy according to the monitoring level.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for dynamically adjusting a monitoring camera group is characterized in that the method for dynamically adjusting the monitoring camera group comprises the following steps:
acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type, and determining a severity level and occurrence frequency corresponding to the event type;
searching surrounding monitoring cameras according to the occurrence position of the event, and establishing a monitoring camera set according to the event type;
and dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
2. The method according to claim 1, wherein the dividing the group of monitoring cameras into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type comprises:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
3. The method according to claim 1, wherein the dividing the group of monitoring cameras into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type comprises:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
4. The method of claim 1, wherein the execution policy comprises a switching time of the group of monitoring cameras.
5. The method for dynamically adjusting a set of monitoring cameras according to claim 1, further comprising:
receiving the real-time event information, adding the real-time event information into a data table generated by classifying the event information according to the event type, generating a corresponding monitoring camera set for the real-time event, dynamically adjusting the monitoring level of the monitoring camera set according to the severity level and the occurrence frequency corresponding to the real-time event, and setting a corresponding execution strategy according to the monitoring level.
6. An apparatus for dynamically adjusting a set of surveillance cameras, the apparatus comprising:
the data sorting module is used for acquiring historical event information, extracting key features in the event information, determining an event type according to the key features, classifying the event information according to the event type and determining the severity level and the occurrence frequency corresponding to the event type;
the monitoring camera set creating module is used for searching surrounding monitoring cameras according to the occurrence position of the event and creating a monitoring camera set according to the type of the event;
and the execution module is used for dividing the monitoring camera group into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, setting a corresponding execution strategy according to the monitoring levels, and monitoring according to the execution strategy.
7. The apparatus for dynamically adjusting the group of monitoring cameras according to claim 6, wherein the executing module divides the group of monitoring cameras into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
when the severity level corresponding to the event type exceeds a preset first severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset first occurrence frequency threshold value, dividing the monitoring camera group into a first monitoring level;
and when the severity level corresponding to the event type exceeds a preset second severity level threshold value, or/and when the occurrence frequency corresponding to the event type exceeds a preset second occurrence frequency threshold value, dividing the monitoring camera group into a second monitoring level.
8. The apparatus for dynamically adjusting the group of monitoring cameras according to claim 6, wherein the executing module divides the group of monitoring cameras into different monitoring levels according to the severity level and the occurrence frequency corresponding to the event type, and executes the following operations:
calculating event influence parameters according to a preset algorithm according to the severity level and the occurrence frequency corresponding to the event type;
when the event influence parameter exceeds a preset first influence parameter threshold value, dividing the monitoring camera group into a first monitoring level;
and when the event influence parameter exceeds a preset second influence parameter threshold value, dividing the monitoring camera group into a second monitoring level.
9. The apparatus for dynamically adjusting set of monitoring cameras according to claim 6, wherein the execution policy includes a switching time of the set of monitoring cameras.
10. The apparatus for dynamically adjusting a set of monitoring cameras according to claim 6, further comprising:
and the adjusting module is used for receiving the real-time event information, adding the real-time event information into a data table generated by classifying the event information according to the event type, generating a corresponding monitoring camera group for the real-time event, dynamically adjusting the monitoring level of the monitoring camera group according to the severity level and the occurrence frequency corresponding to the real-time event, and setting a corresponding execution strategy according to the monitoring level.
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