CN108769608B - A kind of video integration method of multi-dimensional data - Google Patents
A kind of video integration method of multi-dimensional data Download PDFInfo
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- CN108769608B CN108769608B CN201810613959.0A CN201810613959A CN108769608B CN 108769608 B CN108769608 B CN 108769608B CN 201810613959 A CN201810613959 A CN 201810613959A CN 108769608 B CN108769608 B CN 108769608B
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- 230000010354 integration Effects 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 15
- 230000007613 environmental effect Effects 0.000 claims abstract description 8
- 241001269238 Data Species 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2181—Source of audio or video content, e.g. local disk arrays comprising remotely distributed storage units, e.g. when movies are replicated over a plurality of video servers
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- Multimedia (AREA)
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- Databases & Information Systems (AREA)
- Closed-Circuit Television Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention proposes a kind of video integration method of multi-dimensional data, comprising steps of obtaining latitude and longitude information where each camera；Receive the real-time video information of the camera；The image in video is analyzed and is classified according to the latitude and longitude information, obtain and store the object names in the video, object with respect to the camera location information；The status information of other Internet of Things objects is accessed by things-internet gateway, wherein the status information includes: time, environmental information, location information；The association status information of the object in other Internet of Things objects and the video is established according to latitude and longitude information, the real-time video information where the association status information, the camera；Wherein, the association status information includes: object names, the location information of the object, the object corresponding environmental information under different time；The association status is subjected to distributed storage.
Description
Technical field
The present invention relates to the video integration methods of video technique field more particularly to a kind of multi-dimensional data.
Background technique
City manager promotes and widespread deployment various intelligence systems, such as video monitoring system, security system etc., greatly
Ground improves the level of IT application of urban transportation Yu safety management field.But since subsystems are all independently operated, letters
Breath cannot be shared, and not be associated between each other, form information island.Linkage, monitoring image can not be associated between each system in time
It cannot be shared with other security protection resources, cause manager that cannot intuitively correspond to, cannot quickly and efficiently play early warning and prevention
Effect is also difficult to the unified correlation checked and searched between record information afterwards.
Summary of the invention
Based on this, the video integration method for being designed to provide a kind of multi-dimensional data of the embodiment of the present invention, by video
Organic combination is carried out with other internet of things data, so that the monitoring network of smart city has the extraction and analysis of multiple dimensional informations
Ability.
In order to achieve the above objectives, the embodiment of the present invention uses following technical scheme:
A kind of video integration method of multi-dimensional data, comprising steps of
Latitude and longitude information where obtaining camera；
Central data processing unit receives the real-time video information of camera, according to the latitude and longitude information in video
Image is analyzed and is classified, obtain and store the object names in the video, object with respect to the camera location information；
The status information of other Internet of Things objects is accessed by things-internet gateway, wherein the status information include: the time,
Environmental information, location information；
It is established according to latitude and longitude information, the real-time video information where the association status information, the camera
The association status information of his Internet of Things object and the object in the video；The association status information includes: object names, the object
The location information of body, the object corresponding environmental information under different time；
The association status is subjected to distributed storage.
Using the present invention program, the integration of multiple dimensions is carried out to the video information of smart city, is specifically passed through
The video camera of smart city throws the building of node progress again, in the extension of space and information, and on different time
Integration, the framework of this integration be it is completely new, be different from simple video access in pervious smart city, central store,
The simple mode manually watched.So that the monitoring network of smart city has the extraction and analysis ability of multiple dimensional informations.
Detailed description of the invention
The drawings are intended to provide a further understanding of the invention, and constitutes part of specification, and following specific
Embodiment is used to explain the present invention together, but should not be construed as limiting the invention.In the accompanying drawings,
Fig. 1 is a kind of flow diagram of the video integration method of multi-dimensional data proposed by the present invention.
Fig. 2 is the function composition of base cell；
Fig. 3 is the database table schematic diagram of storing data in the application；
Fig. 4 is the schematic diagram that association status is stored in the application；
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, with reference to the accompanying drawings and embodiments, to this
Invention is described in further detail.It should be appreciated that the specific embodiments described herein are only used to explain the present invention,
And the scope of protection of the present invention is not limited.
Fig. 1 is a kind of flow diagram of the video integration method of multi-dimensional data proposed by the present invention, comprising steps of
S1, latitude and longitude information where each camera is obtained；
General camera is the basic longitude and latitude letter that will be installed in fixed position, therefore can obtain the camera easily
Breath.Camera storage latitude and longitude information is not needed, it is only necessary to know that the position of camera installation can obtain.
S2, the real-time video information for receiving the camera；
S3, the image in video is analyzed and is classified according to the latitude and longitude information, obtain and store in the video
Object names, object with respect to the camera location information；
Wherein, the video information of camera is transmitted to central data processing unit, and central data processing unit receives
The real-time video information of camera, while by artificial or machine automatic identification, the image in video can be carried out analysis and
Classification.Such as the object in figure, by carrying out data run with the latitude and longitude information of record, to realize the latitude and longitude information
Calculate the relevant information of object information, the relevant information of the object include the object be what classification, object and camera it
Between the various information in spatial position and object periphery.
With reference to Fig. 3, the related information between the object is that the mode of database table is taken to store in the database, together
When, there are also other association status information relevant to the object itself for the object.
S4, the status information that other Internet of Things objects are accessed by things-internet gateway, wherein the status information includes:
Time, environmental information, location information；
S5, it is established according to latitude and longitude information, the real-time video information where the association status information, the camera
The association status information of object in other Internet of Things objects and the video；Wherein, the association status information includes: object name
Title, the location information of the object, the object corresponding environmental information under different time；
In this application, the change information of environment associated with the object in video or object is also recorded, or passes through object
Networking access gateway and access other relevant association status information.Different objects is associated with different status informations, such as adopts
Collect the relevant environmental information in base cell periphery, the GIS information including building, the letter such as pressure, deformation, strain, temperature of building
Breath, while the information such as temperature, humidity, rainfall, luminous intensity, wind-force that can also acquire environment.Wherein, the record of association status can join
Mode shown in Fig. 4 is examined to carry out.
S6, the association status is subjected to distributed storage.
Using the present invention program, the integration of multiple dimensions is carried out to the video information of smart city, is specifically passed through
The video camera of smart city throws the building of node progress again, in the extension of space and information, and on different time
Integration, the framework of this integration be it is completely new, be different from simple video access in pervious smart city, central store,
The simple mode manually watched.So that the monitoring network of smart city has the extraction and analysis ability of multiple dimensional informations.
In the application, above-mentioned S1 is carried out as unit of base cell to S5 process, wherein only adopting with video data
Collection ability, and there is the central data processing unit for accessing other Internet of Things related datas, smart city can be interpreted as
Base treatment unit.The base treatment unit of each smart city is all to have the node of calculating, store function, therefore shape
At the component units with analysis storage capacity, the function composition of each base cell is as shown in Figure 2.
It is accessed by video, which being capable of changing by video-aware surrounding；Pass through video point
The information to the change detection of the surrounding unit may be implemented in analysis, the base cell；Information stores so that the base cell
With the storage capacity to Advanced information, meanwhile, which, which also has, records attachable base cell, therefore, in net
In network topology, which just has the basic demand of smart city.
Each camera in this base cell, all seeing as is a video signal collection sensor, in base cell
Data processing centre, the latitude and longitude information that each vision signal is registered can be all stored, to ensure that each camera shooting
The address authenticity and uniqueness of head.Meanwhile according to this latitude and longitude information, the data processing centre of base cell is longitude and latitude
Around information and the camera Internet of Things acquisition data carried out unified working process, and form data space and when
Between upper synchronize.
The application is to be realized using latitude and longitude information as most basic space reference by latitude and longitude information to some camera shooting
The video location of head, meanwhile, by the video information of video acquisition, fixed object present in video and action object are carried out
It calculates and relocates, so that realize realizes analysis and integration to the things that camera can be shot with video-corder in time, meanwhile,
By the access to internet of things data, combination is formed according to the source of internet of things data and by the data that camera is analyzed, it is real
Show efficient association of the correlate on room and time, provides most necessary basis for the analysis and prediction of smart city.
There are four types of the object information sources recorded in the database:
1) already installed camera.
2) object come is manually marked out in video
3) object come out in video by automatically analyzing machine recognition
4) object accessed by things-internet gateway
The confirmation of the fixation position or relative position of object has following several:
1) fixed latitude and longitude information is obtained by mounted camera
2) by the latitude and longitude information of fixing camera, relative position of the object between fixing camera is calculated
3) latitude and longitude information obtained by things-internet gateway access
4) object is accessed by things-internet gateway, calculates determining position between the relative position described in 2).
In this application, the association status is subjected to multiple backups, the association status storage of each backup is arrived
Disparate databases.Specifically, base cell is between mutual adjacent base cell, there are various information exchanges, realize respective area
The interconnection of domain information and shared.Such as the information of a base cell, we are set to A, meanwhile, there are three identical for the base cell
Backup information is respectively A1, A2, A3；Three backup informations will be stored in three different adjacent base layer units.Therefore, often
One base level nodes can save the information of three adjacent base layer units simultaneously, and according to respective information exchange, realization pair
The extension of own circumference information.
Without departing from the thought of the invention, any combination is carried out to various different embodiments of the invention, it should all
When being considered as present disclosure；Within the scope of the technical concept of the present invention, a variety of simple modifications are carried out to technical solution
And any combination of the thought without prejudice to the invention that different embodiments carry out, should all protection scope of the present invention it
It is interior.
Claims (3)
1. a kind of video integration method of multi-dimensional data, which is characterized in that comprising steps of
Latitude and longitude information where obtaining each camera；
Receive the real-time video information of the camera；
The image in video is analyzed and classified according to the latitude and longitude information, obtained and stores the object name in the video
Claim, object with respect to the camera location information；Wherein, the object in video includes fixed object and mobile object；
The status information of other Internet of Things objects is accessed by things-internet gateway, wherein the status information includes: time, ring
Border information, location information；
Other Internet of Things are established according to latitude and longitude information, the real-time video information where the status information, the camera
The association status information of object in object and the video；Wherein, the association status information includes: object names, the object
Location information, the object corresponding environmental information under different time；
The association status is subjected to distributed storage.
2. the video integration method of multi-dimensional data as described in claim 1, which is characterized in that using the side of database table
Formula store object names in the video, object with respect to the camera location information.
3. such as the video integration method of the described in any item multi-dimensional datas of claim 1 to 2, which is characterized in that by the pass
Connection state carries out distributed storage comprising steps of the association status is carried out multiple backups, by the association of each backup
State is stored to disparate databases.
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