CN103167265B - Based on method for processing video frequency and the system of intelligent image identification - Google Patents
Based on method for processing video frequency and the system of intelligent image identification Download PDFInfo
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Abstract
The present invention relates to a kind of method for processing video frequency based on intelligent image identification, comprising: monitor supervision platform is recorded or the video information of Real-time Collection to IVU input PU; IVU carries out the identification of graphical analysis and monitored object to video information according to default monitoring rules, form recognition result; Recognition result is sent to IVM by IVU; Recognition result is returned to monitor supervision platform by IVM; Recognition result is sent to PU by monitor supervision platform, so that PU is superimposed upon recognition result in video pictures corresponding to video information in the mode of the intelligent information of adding, and stores after recompile. The present invention relates to a kind of processing system for video based on intelligent image identification. The present invention combines the intelligent processing capacity of IVU and PU, the recognition result that IVU analyzes and identification obtains is offered to PU, carried out the video superimpose of these intelligent information by PU and process and preserve, and then make user can obtain easily the video information with intelligent information from PU.
Description
Technical field
The present invention relates to intelligent video monitoring applied technical field, relate in particular to a kind of based on intelligenceThe method for processing video frequency of image recognition and system.
Background technology
Along with the development of Video Supervision Technique, Video Supervision Technique has obtained in every fieldApply widely, produced the video resource of magnanimity thereupon. Come for these monitor video resourcesSay, most monitor supervision platforms in the past still adopt the mode of artificial treatment to process, and thisThe mode of artificial treatment is larger to the waste of manpower and materials, is difficult in commercialization product formation scaleApplication.
Intelligent monitoring technology has become the important development direction of video monitoring at present, in intelligent monitoringImplementation pattern under, by realizing certain figure by application module in monitor supervision platform deployPicture intellectual analysis ability, makes video monitoring automation and intelligentification, thereby overcomes artificial treatment modeMany disadvantages.
But in current intelligent monitoring scheme, remain in following problem: on monitor supervision platform, collect at presentIn deployment image intelligent disposal ability and data storage capacities, although this mode give pipeIn reason, bring facility, but for supervisor, if wished looking after Intelligent treatmentFrequently content is browsed, can only be by obtain the mode of data to platform, therefore tend to because ofFor the factor such as network, terminal is subject to certain restriction, possible problem is as follows:
1, the video information that comprises intelligent use data can only just can be obtained by platform, and asFruit does not remove in time platform gathering information in a long time, may remove this part by platformRecord;
2,, in the time obtaining video content, supervisor may directly obtain corresponding record from front endCarry out playback and inspection as video, but because front end does not possess intellectual analysis function, therefore withoutMethod shows intelligent content, makes troubles to supervisor.
Summary of the invention
The object of the invention is to propose a kind of method for processing video frequency based on intelligent image identification andSystem, can make user's the past end unit obtain easily the video information with intelligent information.
For achieving the above object, the invention provides a kind of video place based on intelligent image identificationReason method, comprising:
Monitor supervision platform is recorded to intelligent image recognition unit input front end unit or Real-time CollectionVideo information;
Described intelligent image recognition unit enters described video information according to default monitoring rulesThe identification of row graphical analysis and monitored object, forms recognition result;
Described recognition result is sent to intelligent image management clothes by described intelligent image recognition unitBusiness device;
Described recognition result is returned to described monitor supervision platform by described intelligent image management server;
Described recognition result is sent to described front end unit by described monitor supervision platform, so that before describedEnd unit is superimposed upon described video information by described recognition result in the mode of the intelligent information of addingIn corresponding video pictures, and store after recompile.
Further, described intelligent image recognition unit is looked described according to default monitoring rulesThe operation that frequency information is carried out the identification of graphical analysis and monitored object is specially:
Described intelligent image recognition unit carries out graphical analysis to described video information, forms correspondingImage, semantic describe;
Described intelligent image recognition unit is described according to described image, semantic, according to default monitoringRule identifies the relevant information of monitored object.
Further, record to intelligent image recognition unit input front end unit at described monitor supervision platformAfter the video information of system or Real-time Collection, also comprise:
Described intelligent image recognition unit is former by the object situation of movement in described video informationBeginning statistical information sends to described intelligent image management server;
Described primary statistics information is returned to described monitoring by described intelligent image management serverPlatform;
Described primary statistics information is sent to described front end unit by described monitor supervision platform, with toiletState front end unit is superimposed upon described primary statistics information in the mode of the intelligent information of adding described inIn video pictures corresponding to video information, and store after recompile.
Further, also comprise: described front end unit receives the video being sent by client unitRequest, is transmitted to institute by the video information that comprises intelligent information of storage via described monitor supervision platformState client unit.
For achieving the above object, the present invention also provides a kind of video based on intelligent image identificationTreatment system, comprises monitor supervision platform, intelligent image recognition unit, front end unit and intelligent imageManagement server, wherein,
Monitor supervision platform, records for inputting described front end unit to described intelligent image recognition unitOr the video information of Real-time Collection, and in the time receiving recognition result, by described recognition resultSend to described front end unit;
Intelligent image recognition unit, enters described video information for the monitoring rules according to defaultThe identification of row graphical analysis and monitored object, forms recognition result, and by described recognition resultSend to described intelligent image management server;
Intelligent image management server is flat for described recognition result being returned to described monitoringPlatform;
Front end unit, for being superimposed upon described recognition result in the mode of the intelligent information of addingIn video pictures corresponding to described video information, and store after recompile.
Further, described intelligent image recognition unit specifically comprises:
Intelligent image analytic unit, for described video information is carried out to graphical analysis, forms phaseThe image, semantic of answering is described;
Monitored object recognition unit, for describing according to described image, semantic, according to default prisonRegulatory control identifies the relevant information of monitored object;
The first transmitting element, for sending to described recognition result described intelligent image management clothesBusiness device.
Further, described intelligent image recognition unit also comprises:
Object moves statistic unit, carries out for the object situation of movement to described video informationStatistics, obtains primary statistics information;
The second transmitting element, for returning to described monitor supervision platform by described primary statistics information.
Further, described front end unit specifically comprises:
Supercomposed coding unit, for by described recognition result and/or primary statistics information to addThe mode of intelligent information be superimposed upon in video pictures corresponding to described video information, lay equal stress on newly organizedCode;
Video storage unit, for storing the video information after described recompile.
Further, described front end unit also comprises:
Video request response unit, for receiving the video request of being sent by client unit, willThe video information that comprises intelligent information of storage is transmitted to described client via described monitor supervision platformUnit.
Based on technique scheme, the present invention is by the intelligent processing capacity of intelligent image recognition unitCombine the identification knot that the analysis of intelligent image recognition unit and identification are obtained with front end unitFruit offers front end unit, the video superimpose of carrying out these intelligent information by front end unit process andPreserve, and then make user's the past end unit can obtain easily the video letter with intelligent informationBreath.
Brief description of the drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the applicationA part, schematic description and description of the present invention is used for explaining the present invention, not structureBecome inappropriate limitation of the present invention. In the accompanying drawings:
Fig. 1 is that the one that the present invention is based on the method for processing video frequency embodiment of intelligent image identification is answeredBy the network architecture diagram of scene.
Fig. 2 is the stream that the present invention is based on an embodiment of the method for processing video frequency of intelligent image identificationJourney schematic diagram.
Fig. 3 is another embodiment that the present invention is based on the method for processing video frequency of intelligent image identificationSignaling process schematic diagram.
Fig. 4 is the knot that the present invention is based on an embodiment of the processing system for video of intelligent image identificationStructure schematic diagram.
Fig. 5 the present invention is based in another embodiment of processing system for video of intelligent image identificationThe concrete structure schematic diagram of intelligent image recognition unit.
Fig. 6 the present invention is based in the another embodiment of processing system for video of intelligent image identificationThe concrete structure schematic diagram of front end unit.
Detailed description of the invention
Below by drawings and Examples, technical scheme of the present invention is done further and retouched in detailState.
As shown in Figure 1, for the present invention is based on the method for processing video frequency embodiment of intelligent image identificationA kind of network architecture diagram of application scenarios. In this application scenarios, center management server 1(CentralManagementServer is called for short CMS) takes with intelligent image management respectivelyBusiness device 2 (IntelligentVideoManagement is called for short IVM), intelligent image identificationUnit 3 (IntelligentVideoUnit is called for short IVU), video turn Dispatching Unit 7 (VideoTransferandDistributeUnit, is called for short VTDU), network video recording unit 6 (NetworkRecodeUnit, is called for short NRU), client unit 4 (ClientUnit, be called for short CU)Be connected with front end unit 5 (PeripheralUnit, be called for short PU), other annexations referring toFig. 1. Monitor supervision platform can be made up of CMS1, VTDU7 and NRU6 etc., but is not limited toSeveral equipment shown in figure, allow minimizing equipment or increase new equipment.
Fig. 1 introduces the possible application scenarios of method for processing video frequency of the present invention, butThose skilled in the art will appreciate that the application scenarios providing in Fig. 1, also permitPermitted other possible application scenarios and the corresponding network architecture.
As shown in Figure 2, for the present invention is based on method for processing video frequency one real of intelligent image identificationExecute routine idiographic flow schematic diagram. In the present embodiment, the video place based on intelligent image identificationReason flow process comprises the following steps:
Step 101, monitor supervision platform are recorded or the video information of Real-time Collection to IVU input PU;
Step 102, IVU according to default monitoring rules to video information carry out graphical analysis andThe identification of monitored object, forms recognition result;
Recognition result is sent to IVM by step 103, IVU, and IVM returns to recognition resultGive monitor supervision platform;
Recognition result is sent to PU by step 104, monitor supervision platform, so that PU is by recognition resultMode with the intelligent information of adding is superimposed upon in video pictures corresponding to video information, and againStorage after coding.
In the present embodiment, monitor supervision platform may directly be initiated video analysis request to IVU,Also can be to answer the request of PU to come to initiate video analysis request, concrete video analysis to IVUIn request, can comprise video information that PU has recorded or the video information of PU Real-time Collection,Or the address information of these video informations etc.
IVU can according to default monitoring rules to described video information carry out graphical analysis andThe identification of monitored object, monitoring rules can be set by CU by user, for example, wish upperCertain type of vehicle of the A place process at 8 o'clock to 11 o'clock noon is analyzed. IVU can be first rightVideo information is carried out graphical analysis, forms corresponding image, semantic and describes, and for example type is large-scalePassenger vehicle, car plate is capital XXXXX etc., describes, according to what preset according to the image, semantic obtainingMonitoring rules identifies the relevant information of monitored object.
The recognition result identifying is sent to IVM by IVU, via IVM, recognition result returnedReturn to monitor supervision platform. This recognition result is as intelligent information, then sends to correspondence by monitor supervision platformPU, this PU just can be superimposed upon this recognition result to look in the mode of the intelligent information of addingFrequently in video pictures corresponding to information, preserve by recompile, thereby formed in PUWith the video information of intelligent information. From formal intelligent information with the mode of similar captions with lookFrequently picture synchronization occurs, facilitates user to browse.
In the time that user utilizes CU to send video request, PU can be according to this video receivingRequest is transmitted to CU by the video information that comprises intelligent information of storage via monitor supervision platform, andUtilize the function that presents of CU self that the video information with intelligent information is presented, this justThe process of consulting having great convenience for the user.
At monitor supervision platform, after IVU enter video information, IVU can also be by video informationIn object situation of movement primary statistics information (for example the flow of the stream of people at crossing, road, wagon flow,The information such as flow velocity) send to IVM. It is flat that IVM can return to this primary statistics information monitoringPlatform, primary statistics information is sent to PU by monitor supervision platform, and PU can be by these primary statistics lettersThe mode that ceases the intelligent information to add is superimposed upon in video pictures corresponding to video information, lays equal stress onStorage after new coding. Further, PU can be by the primary statistics information and the identification that obtainResult is all superimposed upon in video pictures corresponding to video information in the mode of the intelligent information of adding,Thereby make video pictures information content larger, meet user's verification demand.
As shown in Figure 3, for the present invention is based on another of method for processing video frequency of intelligent image identificationThe signaling process schematic diagram of embodiment. In the present embodiment, Video processing flow process comprises:
Step 201, CU need the video superimpose class intelligence of certain PU by monitor supervision platform settingCondition that can information, for example certain PU at the oversize vehicle of certain time period at this PU placeThe situation etc. of passing through at crossing.
Step 202, monitor supervision platform send intellectual analysis request to IVU, and this PU is recordedOr the video information of Real-time Collection offers IVU.
Step 203, IVU carry out image according to default monitoring rules to described video information and divideAnalyse and the identification of monitored object, form recognition result, also can move the object in video informationEmotionally condition is added up, and obtains primary statistics information.
Step 204, IVU via IVM by recognition result (can be also primary statistics information)Send to monitor supervision platform.
Step 205, monitor supervision platform send recognition result (can be also primary statistics information)Give PU.
Step 206, PU by recognition result (can be also primary statistics information) to addThe mode of intelligent information is superimposed upon in video pictures corresponding to described video information, and recompileRear storage.
Step 207, CU can send video request to PU via monitor supervision platform, and PU will depositThe video information that comprises intelligent information of storage is transmitted to CU via monitor supervision platform.
One of ordinary skill in the art will appreciate that: the whole or portion that realizes said method embodimentCan complete by the relevant hardware of programmed instruction step by step, aforesaid program can be stored inIn one computer read/write memory medium, this program, in the time carrying out, is carried out and is comprised that said method is realExecute routine step; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CDEtc. various media that can be program code stored.
As shown in Figure 4, for the present invention is based on processing system for video one real of intelligent image identificationExecute routine structural representation. In the present embodiment, the Video processing system based on intelligent image identificationTurnkey is drawn together monitor supervision platform 8, IVU3, PU5 and IVM2. Wherein monitor supervision platform 8 can be toIVU3 input PU5 records or the video information of Real-time Collection, and is receiving recognition resultTime, described recognition result is sent to PU5. The concrete structure of monitor supervision platform 8 also can referenceThe structure being formed by CMS1, VTDU7 and NRU6 etc. shown in Fig. 1.
IVU3 be responsible for according to default monitoring rules to described video information carry out graphical analysis andThe identification of monitored object, forms recognition result, and described recognition result is sent to IVM2.IVM2 is responsible for recognition result to return to monitor supervision platform 8. PU5 is responsible for described recognition resultMode with the intelligent information of adding is superimposed upon in video pictures corresponding to described video information, andAfter recompile, store.
The present embodiment combines the intelligent processing capacity of IVU and PU, and IVU is analyzedThe recognition result obtaining with identification offers PU, and the video that is carried out these intelligent information by PU is foldedAdd and process and preserve, and then make user can obtain easily looking with intelligent information from PUFrequently information
As shown in Figure 5, for the present invention is based on another of processing system for video of intelligent image identificationThe concrete structure schematic diagram of intelligent image recognition unit in embodiment. In the present embodiment, IVUSpecifically comprise: intelligent image analytic unit 31, monitored object recognition unit 32 and first sendUnit 33. Wherein, intelligent image analytic unit 31 is responsible for described video information to carry out imageAnalyze, form corresponding image, semantic and describe. Monitored object recognition unit 32 is responsible for described in basisImage, semantic is described, and identifies the relevant information of monitored object according to default monitoring rules.The first transmitting element 33 is responsible for described recognition result to send to IVM.
In another embodiment, IVU can further include: object moves statistic unitWith the second transmitting element, wherein object move statistic unit be responsible for to the thing in described video informationBody situation of movement is added up, and obtains primary statistics information. The second transmitting element is responsible for originalStatistical information returns to described monitor supervision platform.
As shown in Figure 6, for the present invention is based on processing system for video another of intelligent image identificationThe concrete structure schematic diagram of front end unit in embodiment. In the present embodiment, PU5 specifically comprises:Supercomposed coding unit 51 and video storage unit 52, wherein supercomposed coding unit 51 is responsible for instituteState described in recognition result and/or primary statistics information is superimposed upon in the mode of the intelligent information of addingIn video pictures corresponding to video information, and recompile. Video storage unit 52 is responsible for storageVideo information after described recompile.
In another embodiment, PU can further include: video request response unit,For receiving the video request of being sent by CU, by the video information that comprises intelligent information of storageBe transmitted to CU via monitor supervision platform.
Finally should be noted that: above embodiment is only in order to illustrate technical scheme of the present inventionNon-to its restriction; Although the present invention is had been described in detail with reference to preferred embodiment, underThe those of ordinary skill in field is to be understood that: still can enter the specific embodiment of the present inventionRow is revised or part technical characterictic is equal to replacement; And do not depart from technical solution of the present inventionSpirit, it all should be encompassed in the middle of the technical scheme scope of request of the present invention protection.
Claims (9)
1. the method for processing video frequency based on intelligent image identification, comprising:
Monitor supervision platform is recorded to intelligent image recognition unit input front end unit or Real-time CollectionVideo information;
Described intelligent image recognition unit enters described video information according to default monitoring rulesThe identification of row graphical analysis and monitored object, forms recognition result;
Described recognition result is sent to intelligent image management clothes by described intelligent image recognition unitBusiness device;
Described recognition result is returned to described monitor supervision platform by described intelligent image management server;
Described recognition result is sent to described front end unit by described monitor supervision platform, so that before describedEnd unit is superimposed upon described video information by described recognition result in the mode of the intelligent information of addingIn corresponding video pictures, and store after recompile, so that user is from described front end unit energyEnough video informations of obtaining easily with intelligent information.
2. method according to claim 1, wherein said intelligent image recognition unit is pressedAccording to default monitoring rules, described video information is carried out the identification of graphical analysis and monitored objectOperation is specially:
Described intelligent image recognition unit carries out graphical analysis to described video information, forms correspondingImage, semantic describe;
Described intelligent image recognition unit is described according to described image, semantic, according to default monitoringRule identifies the relevant information of monitored object.
3. method according to claim 2, wherein at described monitor supervision platform to intelligent graphicAs recognition unit input front end unit record or the video information of Real-time Collection after, also comprise:
Described intelligent image recognition unit is former by the object situation of movement in described video informationBeginning statistical information sends to described intelligent image management server;
Described primary statistics information is returned to described monitoring by described intelligent image management serverPlatform;
Described primary statistics information is sent to described front end unit by described monitor supervision platform, with toiletState front end unit is superimposed upon described primary statistics information in the mode of the intelligent information of adding described inIn video pictures corresponding to video information, and store after recompile.
4. according to the arbitrary described method of claim 1～3, wherein also comprise:
Described front end unit receives the video request of being sent by client unit, by comprising of storageThe video information of intelligent information is transmitted to described client unit via described monitor supervision platform.
5. the processing system for video based on intelligent image identification, comprises monitor supervision platform, intelligenceEnergy image identification unit, front end unit and intelligent image management server, wherein,
Monitor supervision platform, records for inputting described front end unit to described intelligent image recognition unitOr the video information of Real-time Collection, and in the time receiving recognition result, by described recognition resultSend to described front end unit;
Intelligent image recognition unit, enters described video information for the monitoring rules according to defaultThe identification of row graphical analysis and monitored object, forms recognition result, and by described recognition resultSend to described intelligent image management server;
Intelligent image management server is flat for described recognition result being returned to described monitoringPlatform;
Front end unit, for being superimposed upon described recognition result in the mode of the intelligent information of addingIn video pictures corresponding to described video information, and store after recompile, so that user is from instituteState front end unit and can obtain easily the video information with intelligent information.
6. system according to claim 5, wherein said intelligent image recognition unit toolBody comprises:
Intelligent image analytic unit, for described video information is carried out to graphical analysis, forms phaseThe image, semantic of answering is described;
Monitored object recognition unit, for describing according to described image, semantic, according to default prisonRegulatory control identifies the relevant information of monitored object;
The first transmitting element, for sending to described recognition result described intelligent image management clothesBusiness device.
7. system according to claim 6, wherein said intelligent image recognition unit alsoComprise:
Object moves statistic unit, carries out for the object situation of movement to described video informationStatistics, obtains primary statistics information;
The second transmitting element, for returning to described monitor supervision platform by described primary statistics information.
8. system according to claim 7, wherein said front end unit specifically comprises:
Supercomposed coding unit, for by described recognition result and/or primary statistics information to addThe mode of intelligent information be superimposed upon in video pictures corresponding to described video information, lay equal stress on newly organizedCode;
Video storage unit, for storing the video information after described recompile.
9. according to the arbitrary described system of claim 5-8, wherein said front end unit also wrapsDraw together:
Video request response unit, for receiving the video request of being sent by client unit, willThe video information that comprises intelligent information of storage is transmitted to described client via described monitor supervision platformUnit.
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| CN104159090A (en) * | 2014-09-09 | 2014-11-19 | 联想(北京)有限公司 | Information processing method and intelligent monitoring equipment |
| CN105357495B (en) * | 2015-12-08 | 2019-04-12 | 浙江宇视科技有限公司 | The method and device of front and back end cooperation intellectual analysis |
| CN106303567B (en) * | 2016-08-16 | 2021-02-19 | 中星技术股份有限公司 | Video coding method and system of combined device |
| CN106210727B (en) * | 2016-08-16 | 2020-05-22 | 广东中星电子有限公司 | Video hierarchical code stream coding method and system based on neural network processor array |
| CN106303538B (en) * | 2016-08-16 | 2021-04-13 | 中星技术股份有限公司 | Video hierarchical coding method and device supporting multi-source data fusion |
| CN106303527B (en) * | 2016-08-16 | 2020-10-09 | 广东中星电子有限公司 | Video hierarchical code stream coding method and system of time division multiplexing neural network processor |
| CN107331007A (en) * | 2017-06-29 | 2017-11-07 | 惠国征信服务股份有限公司 | A kind of wagon flow logistics supervisory systems and method based on video acquisition |
| CN110677601B (en) * | 2019-09-06 | 2021-07-23 | 北京小鸟科技股份有限公司 | Intelligent video source switching system and intelligent video source switching method |
| CN111050106B (en) * | 2019-12-23 | 2022-07-15 | 浙江大华技术股份有限公司 | Video playback method, device and computer storage medium |
| CN113873200B (en) * | 2021-09-26 | 2024-02-02 | 珠海研果科技有限公司 | Image identification method and system |
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