CN115905623B - Intelligent rural management data storage method and system - Google Patents
Intelligent rural management data storage method and system Download PDFInfo
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Abstract
The application is applicable to the technical field of data storage, and particularly relates to a method and a system for storing intelligent rural management data, wherein the method comprises the following steps: acquiring an independent monitoring video and a monitoring device arrangement map; the method comprises the steps of calling independent monitoring videos, identifying moving targets contained in the independent monitoring videos, and determining the using sequence of the independent monitoring videos according to a monitoring device arrangement map; according to the arrangement map of the monitoring device, invoking independent monitoring videos, and determining the moving track of each moving target; and intercepting the characteristic picture, and storing the characteristic picture, the moving track and the corresponding segment in the independent monitoring video. The application further identifies all the moving targets entering the monitoring area by determining the position of the monitoring device, records the monitoring video data according to the moving targets, and records the moving track of each moving target, thereby storing the moving track of each moving target in a monitoring chain mode, ensuring that the data has retrospective property and realizing the purpose of quick searching.
Description
Technical Field
The application belongs to the technical field of data storage, and particularly relates to a method and a system for storing intelligent rural management data.
Background
Along with the development of society, intelligent villages gradually become new trend of village development, and intelligent villages have rich display modes and provide travel service and intelligent travel safety monitoring service.
In the current intelligent village construction process, the application of the Internet of things plays an important role, the Internet of things refers to the expansion application and network extension of a communication network and the Internet, the physical world is perceptively identified by using a perception technology and an intelligent device, and calculation, processing and knowledge mining are performed through network transmission interconnection, so that information interaction and seamless connection between people and objects and between objects are realized, and the purposes of real-time control, accurate management and scientific decision on the physical world are achieved.
Video monitoring is an important link of the Internet of things, data are collected at any moment, but the video monitoring data are stored independently and are difficult to form a monitoring chain, so that the video monitoring needs to be traced back manually when the video monitoring system is needed to be used later, and the video monitoring system is very inconvenient to operate.
Disclosure of Invention
The embodiment of the application aims to provide an intelligent rural management data storage method, which aims to solve the problems that video monitoring data are independently stored and a monitoring chain is difficult to form, so that backtracking is needed to be carried out manually when the video monitoring data are needed to be used later, and the operation is very inconvenient.
The embodiment of the application is realized in such a way that an intelligent village management data storage method comprises the following steps:
acquiring independent monitoring videos from all monitoring devices and a monitoring device arrangement map;
the method comprises the steps of calling independent monitoring videos, identifying moving targets contained in the independent monitoring videos, and determining the use sequence of the independent monitoring videos according to a monitoring device arrangement map, wherein the moving targets comprise vehicles and pedestrians;
according to the arrangement map of the monitoring device, invoking independent monitoring videos, and determining the moving track of each moving target;
and intercepting the characteristic picture from the independent monitoring video according to the moving track of the moving target, and storing the characteristic picture, the moving track and the corresponding segment in the independent monitoring video.
Preferably, the step of retrieving the independent monitoring video, identifying a moving target contained in the independent monitoring video, and determining a use sequence of the independent monitoring video according to a monitoring device arrangement map specifically includes:
identifying a moving path according to the arrangement map of the monitoring device, and determining an entrance of the moving path;
the method comprises the steps of calling independent monitoring videos corresponding to all entrances and exits, and identifying moving targets contained in the independent monitoring videos;
and determining the use sequence of the independent monitoring video according to the time sequence of the moving target.
Preferably, the step of retrieving the independent monitoring video according to the monitoring device layout map to determine the moving track of each moving target specifically includes:
calling according to the use sequence of the independent monitoring videos, and calling the independent monitoring videos one by one;
recording a moving target in the current independent monitoring video, and determining the independent monitoring video adjacent to the moving target according to a monitoring device arrangement map to obtain an adjacent monitoring video;
and determining a moving path of the moving target according to the time when the moving target disappears in the called monitoring video and the time when the moving target appears in the adjacent monitoring video, and repeating the steps to generate the moving track of each moving target.
Preferably, the step of capturing a feature picture from the independent monitoring video according to the moving track of the moving target and storing the feature picture, the moving track and a corresponding segment in the independent monitoring video specifically includes:
segment interception is carried out on the independent monitoring video according to the moving track, so as to obtain a track video segment;
extracting a characteristic picture containing the moving target from each track video segment according to the moving position of the moving target;
and storing the characteristic picture, the moving track and the track video segment.
Preferably, before the feature picture, the moving track and the track video segment are stored, the feature picture, the moving track and the track video segment are encrypted.
Preferably, the feature picture, the moving track and the track video segment are deleted after the storage for a preset time period.
It is another object of an embodiment of the present application to provide an intelligent rural management data storage system, the system comprising:
the data acquisition module is used for acquiring independent monitoring videos from each monitoring device and a monitoring device arrangement map;
the target identification module is used for retrieving the independent monitoring video, identifying a moving target contained in the independent monitoring video, and determining the use sequence of the independent monitoring video according to the arrangement map of the monitoring device, wherein the moving target comprises a vehicle and a pedestrian;
the track recognition module is used for calling independent monitoring videos according to the arrangement map of the monitoring device and determining the moving track of each moving target;
and the data storage module is used for intercepting the characteristic picture from the independent monitoring video according to the moving track of the moving target and storing the characteristic picture, the moving track and the corresponding fragment in the independent monitoring video.
Preferably, the object recognition module includes:
the path identification unit is used for identifying a moving path according to the arrangement map of the monitoring device and determining an entrance of the moving path;
the mobile target identification unit is used for calling the independent monitoring videos corresponding to all the entrances and exits and identifying the mobile targets contained in the independent monitoring videos;
and the sequence confirming unit is used for confirming the use sequence of the independent monitoring video according to the time sequence of the occurrence of the moving target.
Preferably, the track recognition module includes:
the first video calling unit is used for calling according to the use sequence of the independent monitoring videos, and calling the independent monitoring videos one by one;
the second video retrieving unit is used for recording a moving target in the current independent monitoring video, determining the independent monitoring video adjacent to the moving target according to the monitoring device arrangement map, and obtaining the adjacent monitoring video;
and the track recording unit is used for determining the moving path of the moving target according to the time when the moving target disappears in the called monitoring video and the time when the moving target appears in the adjacent monitoring video, and repeating the steps to generate the moving track of each moving target.
Preferably, the data storage module includes:
the video segment intercepting unit is used for intercepting the segments of the independent monitoring video according to the moving track to obtain a track video segment;
a feature picture extraction unit for extracting a feature picture containing the moving object from each track video segment according to the moving position of the moving object;
and the video storage unit is used for storing the characteristic pictures, the moving track and the track video segment.
According to the intelligent rural management data storage method provided by the embodiment of the application, the positions of the monitoring devices are determined, all the moving targets entering the monitoring area are further identified, the monitoring video data are recorded according to the moving targets, and the moving track of each moving target is recorded, so that the moving track of each moving target is stored in a monitoring chain mode, the data have retrospective performance, and the purpose of quick searching can be realized.
Drawings
FIG. 1 is a flowchart of a method for storing intelligent rural management data according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating steps for retrieving independent surveillance videos, identifying moving targets contained in the independent surveillance videos, and determining a usage sequence of the independent surveillance videos according to a surveillance device layout map according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating steps for retrieving independent surveillance videos according to a surveillance device layout map and determining a moving track of each moving object according to an embodiment of the present application;
fig. 4 is a flowchart of a step of capturing a feature picture from an independent monitoring video according to a moving track of a moving target and storing the feature picture, the moving track and a corresponding segment in the independent monitoring video according to an embodiment of the present application;
FIG. 5 is a block diagram of an intelligent rural management data storage system according to an embodiment of the present application;
FIG. 6 is a schematic diagram of an object recognition module according to an embodiment of the present application;
fig. 7 is a schematic diagram of a track recognition module according to an embodiment of the present application;
fig. 8 is a schematic diagram of a data storage module according to an embodiment of the present application.
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.
Video monitoring is an important link of the Internet of things, data are collected at any moment, but the video monitoring data are stored independently and are difficult to form a monitoring chain, so that the video monitoring needs to be traced back manually when the video monitoring system is needed to be used later, and the video monitoring system is very inconvenient to operate.
The application further identifies all the moving targets entering the monitoring area by determining the position of the monitoring device, records the monitoring video data according to the moving targets, and records the moving track of each moving target, thereby storing the moving track of each moving target in a monitoring chain mode, ensuring that the data has retrospective property and realizing the purpose of quick searching.
As shown in fig. 1, a flowchart of a method for storing intelligent country management data according to an embodiment of the present application is provided, where the method includes:
and S100, acquiring independent monitoring videos from all monitoring devices and a monitoring device arrangement map.
In this step, an independent monitoring video from each monitoring device and a monitoring device arrangement map are acquired, and the setting positions of each monitoring device and the road distribution condition in the area are recorded in the monitoring device arrangement map, where the independent monitoring video is a picture acquired by each monitoring device.
S200, the independent monitoring videos are called, moving targets contained in the independent monitoring videos are identified, the using sequence of the independent monitoring videos is determined according to the arrangement map of the monitoring device, and the moving targets comprise vehicles and pedestrians.
In this step, the independent monitoring video is called, and since the monitoring devices have a plurality of monitoring ranges, there is an overlap between the monitoring ranges of different monitoring devices, and the overlapping area is taken as a boundary, when a moving object enters the overlapping area, it is indicated that the moving object is about to enter or leave the monitoring area, in order to count all the moving objects, it is necessary to identify all the moving objects entering the monitoring area, and further determine the moving track one by one, where the moving objects include vehicles and pedestrians, and the pedestrians can be counted through face recognition, and the vehicles are determined through license plate numbers.
S300, invoking independent monitoring videos according to the arrangement map of the monitoring device, and determining the moving track of each moving target.
In this step, the independent monitoring video is called according to the monitoring device arrangement map, and it is determined that a moving target first enters the corresponding independent monitoring video in the monitoring area, so that the next monitoring area where the moving target enters is determined according to the moving direction of the moving target and the vanishing time, and thus the independent monitoring video corresponding to the next monitoring area is called.
S400, intercepting the characteristic picture from the independent monitoring video according to the moving track of the moving target, and storing the characteristic picture, the moving track and the corresponding segment in the independent monitoring video.
In this step, feature frames are taken from the independent monitoring videos according to the moving track of the moving object, and in order to simplify the video content, the feature frames are used to represent the monitoring videos corresponding to the moving track of the moving object, so that when the moving track is queried, the content corresponding to the corresponding monitoring videos can be known through the feature frames arranged according to the time sequence, and finally the feature frames, the moving track and the corresponding segments in the independent monitoring videos are stored.
As shown in fig. 2, as a preferred embodiment of the present application, the steps of retrieving the independent surveillance video, identifying the moving object contained therein, and determining the usage sequence of the independent surveillance video according to the surveillance device arrangement map specifically include:
s201, identifying a moving path according to the arrangement map of the monitoring device, and determining an entrance and an exit of the moving path.
In this step, the moving path is identified according to the map of the monitoring device arrangement, the moving path is a road from one entrance to another, and the entrance is a road end entering or leaving the monitoring screen.
S202, the independent monitoring videos corresponding to all the entrances and exits are called, and moving targets contained in the independent monitoring videos are identified.
In this step, the independent monitoring videos corresponding to all the entrances and exits are called, and when monitoring is performed, the moving targets entering the picture are used as starting points, and then continuous recording is performed to obtain the moving track, so that the vehicles and pedestrians entering the monitoring picture need to be recorded, and the moving targets entering the picture are identified.
S203, determining the use sequence of the independent monitoring video according to the time sequence of the moving target.
In this step, the use sequence of the independent monitoring videos is determined according to the time sequence of the occurrence of the moving target, specifically, the time of the occurrence of the moving target is counted, and the use sequence of each independent monitoring video is determined according to the time sequence.
As shown in fig. 3, as a preferred embodiment of the present application, the step of retrieving independent surveillance videos according to a surveillance device layout map to determine a moving track of each moving object specifically includes:
s301, calling is carried out according to the use sequence of the independent monitoring videos, and the independent monitoring videos are called one by one.
S302, recording a moving target in the current independent monitoring video, and determining the independent monitoring video adjacent to the moving target according to the monitoring device arrangement map to obtain the adjacent monitoring video.
In this step, call is performed according to the order of use of the independent monitoring videos, only one independent monitoring video is called each time, among the independent monitoring videos currently called, the moving target appears for the first time, further the moving target is tracked, the time when the moving target disappears is recorded, further the adjacent monitoring video corresponding to the adjacent monitoring area is called, and when the monitoring device is set, the monitoring device is set along the road, so that the independent monitoring video corresponding to the adjacent monitoring device can be directly known.
S303, determining a moving path of the moving target according to the time when the moving target disappears in the called monitoring video and the time when the moving target appears in the adjacent monitoring video, and repeating the steps to generate the moving track of each moving target.
In this step, according to the time when the moving object disappears in the called monitoring video and the time when the moving object appears in the adjacent monitoring video, the time when the moving object enters the adjacent monitoring video is confirmed by identifying the moving object, the real-time position of the moving object is determined, and the position is recorded until the moving object moves out of the picture, at this time, the moving track of one moving object is recorded.
As shown in fig. 4, as a preferred embodiment of the present application, the step of capturing a feature picture from an independent surveillance video according to a moving track of a moving object, and storing the feature picture, the moving track and a corresponding segment in the independent surveillance video specifically includes:
s401, cutting out the independent monitoring video according to the moving track to obtain a track video segment.
In this step, the independent monitoring video is cut according to the moving track, and when the cutting is performed, taking an independent monitoring video as an example, only the video segment containing the moving target is cut, namely the track video segment is obtained, and all the independent monitoring videos are cut according to the time sequence.
S402, extracting a characteristic picture containing the moving object from each track video segment according to the moving position of the moving object.
In this step, according to the moving position of the moving object, a feature picture including the moving object is extracted from each track video segment, firstly, the duration of each track video segment is analyzed, and the number of feature pictures to be intercepted is determined according to the duration, for example, a feature picture is intercepted in a track video segment of 10 seconds, then 6 feature pictures are intercepted in a track video segment of one minute, and of course, a feature picture can be intercepted in a track video segment to reduce the data storage amount.
S403, storing the characteristic picture, the moving track and the track video segment.
In this step, the feature screen, the movement track and the track video segment are stored, the data are encrypted before being stored, and the timing is performed, and after a preset period, the previously stored video is deleted, so that the data storage amount is reduced, and the deletion period can be prolonged for information such as the movement track.
As shown in fig. 5, an intelligent rural management data storage system according to an embodiment of the present application includes:
the data acquisition module 100 is configured to acquire independent monitoring videos from each monitoring device and a monitoring device arrangement map.
In the system, the data acquisition module 100 acquires independent monitoring videos from each monitoring device and a monitoring device arrangement map, the setting positions of each monitoring device and the road distribution condition in the area are recorded in the monitoring device arrangement map, and the independent monitoring videos are pictures acquired by each monitoring device.
The object recognition module 200 is configured to invoke the independent surveillance video, recognize a moving object included therein, and determine a usage sequence of the independent surveillance video according to the surveillance device arrangement map, where the moving object includes a vehicle and a pedestrian.
In the system, the object recognition module 200 invokes an independent monitoring video, and since the monitoring devices have a plurality of monitoring ranges, there is an overlap between the monitoring ranges of different monitoring devices, the overlap area is taken as a boundary, when a moving object enters the overlap area, the moving object is about to enter or leave the monitoring area, in order to count all the moving objects, it is necessary to recognize all the moving objects entering the monitoring area, and further determine the moving track one by one, the moving objects include vehicles and pedestrians, the pedestrians can be counted through face recognition, and the vehicles are determined through license plate numbers.
The track recognition module 300 is configured to invoke independent surveillance videos according to the surveillance device layout map, and determine a moving track of each moving object.
In the system, the track recognition module 300 invokes an independent monitoring video according to the arrangement map of the monitoring device, determines that a moving target enters the corresponding independent monitoring video in the monitoring area for the first time, so as to determine the next monitoring area into which the moving target enters according to the moving direction of the moving target and the vanishing time, and invokes the independent monitoring video corresponding to the next monitoring area.
The data storage module 400 is configured to intercept a feature picture from the independent surveillance video according to a movement track of the moving object, and store the feature picture, the movement track, and a corresponding segment in the independent surveillance video.
In the system, the data storage module 400 intercepts feature pictures from the independent monitoring videos according to the moving track of the moving target, and in order to simplify the video content, the feature pictures are used for representing the monitoring videos corresponding to the moving track of the moving target, so that when the moving track is inquired, the content corresponding to the corresponding monitoring videos can be known through the feature pictures arranged according to the time sequence, and finally, the feature pictures, the moving track and the corresponding segments in the independent monitoring videos are stored.
As shown in fig. 6, as a preferred embodiment of the present application, the object recognition module 200 includes:
a path identifying unit 201 for identifying a moving path according to the monitoring device arrangement map and determining an entrance of the moving path.
In this module, the path recognition unit 201 recognizes a moving path, i.e., a road from one entrance to another, according to the monitoring device arrangement map, and the entrance is a road end entering or leaving the monitoring screen.
The moving object identifying unit 202 is configured to invoke the independent surveillance videos corresponding to all the entrances and exits, and identify the moving object contained therein.
In this module, the moving object identifying unit 202 retrieves the independent monitoring videos corresponding to all the entrances and exits, and because the moving objects entering the screen are used as the starting points during the monitoring, and further continuous recording is performed to obtain the moving track, the recording needs to be performed on the vehicles and pedestrians entering the monitoring screen, and the moving objects entering the screen are identified.
A sequence confirming unit 203, configured to determine the usage sequence of the independent surveillance video according to the time sequence of the occurrence of the moving object.
In this module, the sequence confirming unit 203 determines the usage sequence of the independent surveillance videos according to the time sequence of the occurrence of the moving object, specifically, counts the occurrence time of the moving object, and determines the usage sequence of each independent surveillance video according to the time sequence.
As shown in fig. 7, as a preferred embodiment of the present application, the track recognition module 300 includes:
the first video retrieving unit 301 is configured to retrieve the independent surveillance videos one by one according to a usage order of the independent surveillance videos.
The second video retrieving unit 302 is configured to record a moving target in the current independent monitoring video, determine an independent monitoring video adjacent to the moving target according to the monitoring device arrangement map, and obtain an adjacent monitoring video.
In the module, the independent monitoring videos are called according to the use sequence of the independent monitoring videos, only one independent monitoring video is called each time, the moving target appears for the first time in the independent monitoring videos which are called currently, then the moving target is tracked, the vanishing time of the moving target is recorded, then the adjacent monitoring videos corresponding to the adjacent monitoring areas are called, and when the monitoring devices are arranged, the monitoring devices are arranged along the road, so that the independent monitoring videos corresponding to the adjacent monitoring devices can be directly known.
The track recording unit 303 is configured to determine a moving path of the moving object according to a time when the moving object disappears in the invoked monitoring video and a time when the moving object appears in the adjacent monitoring video, and repeat this step to generate a moving track of each moving object.
In this module, the track recording unit 303 identifies the moving target according to the time when the moving target disappears in the invoked monitoring video and the time when the moving target appears in the adjacent monitoring video, and confirms the time when the moving target enters the adjacent monitoring video, so as to determine the real-time position of the moving target, and record the position until the moving target moves out of the picture, at this time, the moving track of one moving target is recorded.
As shown in fig. 8, as a preferred embodiment of the present application, the data storage module 400 includes:
the video segment intercepting unit 401 is configured to intercept the independent surveillance video segment according to the movement track, so as to obtain a track video segment.
In this module, the video segment intercepting unit 401 intercepts segments of the independent monitoring video according to the moving track, and when intercepting, taking an independent monitoring video as an example, only intercepts video segments containing moving targets, namely obtaining a track video segment, and intercepting all the independent monitoring videos according to the time sequence.
The feature picture extracting unit 402 is configured to extract a feature picture including the moving object from each track video segment according to the moving position of the moving object.
In this module, the feature picture extracting unit 402 extracts a feature picture including a moving object from each track video segment according to the moving position of the moving object, first analyzes the duration of each track video segment, determines the number of feature pictures to be cut according to the duration, for example, a feature picture is cut in a track video segment of 10 seconds, and then cuts 6 feature pictures in a track video segment of one minute, or cuts one feature picture in a track video segment to reduce the data storage amount.
And a video storage unit 403, configured to store the feature picture, the movement track, and the track video segment.
In this module, the video storage unit 403 stores the feature screen, the movement track, and the track video segment, encrypts the data before storing, counts time, and deletes the previously stored video after a preset period, thereby reducing the data storage amount, and prolonging the deletion period for information such as the movement track.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
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.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (6)
1. A method of intelligent rural management data storage, the method comprising:
acquiring independent monitoring videos from all monitoring devices and a monitoring device arrangement map;
the method comprises the steps of calling independent monitoring videos, identifying moving targets contained in the independent monitoring videos, and determining the use sequence of the independent monitoring videos according to a monitoring device arrangement map, wherein the moving targets comprise vehicles and pedestrians;
according to the arrangement map of the monitoring device, invoking independent monitoring videos, and determining the moving track of each moving target;
intercepting a characteristic picture from the independent monitoring video according to the moving track of the moving target, and storing the characteristic picture, the moving track and corresponding fragments in the independent monitoring video;
the step of calling the independent monitoring video, identifying the moving target contained in the independent monitoring video, and determining the use sequence of the independent monitoring video according to the arrangement map of the monitoring device specifically comprises the following steps:
identifying a moving path according to the arrangement map of the monitoring device, and determining an entrance of the moving path;
the method comprises the steps of calling independent monitoring videos corresponding to all entrances and exits, and identifying moving targets contained in the independent monitoring videos;
determining the use sequence of the independent monitoring video according to the time sequence of the moving target;
the step of intercepting the characteristic picture from the independent monitoring video according to the moving track of the moving target and storing the characteristic picture, the moving track and the corresponding segment in the independent monitoring video specifically comprises the following steps:
segment interception is carried out on the independent monitoring video according to the moving track, so as to obtain a track video segment;
extracting a characteristic picture containing the moving target from each track video segment according to the moving position of the moving target;
and storing the characteristic picture, the moving track and the track video segment.
2. The intelligent village management data storage method as claimed in claim 1, wherein the step of retrieving the independent monitoring video according to the monitoring device arrangement map to determine the moving track of each moving object comprises:
calling according to the use sequence of the independent monitoring videos, and calling the independent monitoring videos one by one;
recording a moving target in the current independent monitoring video, and determining the independent monitoring video adjacent to the moving target according to a monitoring device arrangement map to obtain an adjacent monitoring video;
and determining a moving path of the moving target according to the time when the moving target disappears in the called monitoring video and the time when the moving target appears in the adjacent monitoring video, and repeating the steps to generate the moving track of each moving target.
3. The intelligent village management data storage method as claimed in claim 1, wherein the characteristic picture, the moving track and the track video segment are encrypted before being stored.
4. A method of intelligent rural management data storage according to claim 3 wherein the feature frames, movement tracks, and track video segments are deleted after a predetermined period of time has been stored.
5. An intelligent rural management data storage system, the system comprising:
the data acquisition module is used for acquiring independent monitoring videos from each monitoring device and a monitoring device arrangement map;
the target identification module is used for retrieving the independent monitoring video, identifying a moving target contained in the independent monitoring video, and determining the use sequence of the independent monitoring video according to the arrangement map of the monitoring device, wherein the moving target comprises a vehicle and a pedestrian;
the track recognition module is used for calling independent monitoring videos according to the arrangement map of the monitoring device and determining the moving track of each moving target;
the data storage module is used for intercepting a characteristic picture from the independent monitoring video according to the moving track of the moving target and storing the characteristic picture, the moving track and the corresponding segment in the independent monitoring video;
the object recognition module includes:
the path identification unit is used for identifying a moving path according to the arrangement map of the monitoring device and determining an entrance of the moving path;
the mobile target identification unit is used for calling the independent monitoring videos corresponding to all the entrances and exits and identifying the mobile targets contained in the independent monitoring videos;
the sequence confirming unit is used for confirming the use sequence of the independent monitoring video according to the time sequence of the occurrence of the moving target;
the data storage module includes:
the video segment intercepting unit is used for intercepting the segments of the independent monitoring video according to the moving track to obtain a track video segment;
a feature picture extraction unit for extracting a feature picture containing the moving object from each track video segment according to the moving position of the moving object;
and the video storage unit is used for storing the characteristic pictures, the moving track and the track video segment.
6. The intelligent village management data storage system according to claim 5, wherein the track recognition module comprises:
the first video calling unit is used for calling according to the use sequence of the independent monitoring videos, and calling the independent monitoring videos one by one;
the second video retrieving unit is used for recording a moving target in the current independent monitoring video, determining the independent monitoring video adjacent to the moving target according to the monitoring device arrangement map, and obtaining the adjacent monitoring video;
and the track recording unit is used for determining the moving path of the moving target according to the time when the moving target disappears in the called monitoring video and the time when the moving target appears in the adjacent monitoring video, and repeating the steps to generate the moving track of each moving target.
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