CN109643321A - Video analytic system and video analysis method based on video monitoring - Google Patents
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Abstract
It includes: video monitoring subsystem that the embodiment of the present application, which provides a kind of video analytic system based on video monitoring and video analysis method, video analytic system, is used to be shot to obtain video monitoring image；Video analytics subsystem is used to analyze the video monitoring subsystem video monitoring image obtained；Information issues subsystem, is used to send video monitoring image, and analysis result.According to the present embodiment, analysis can be carried out to video monitoring image acquired in video analytic system automatically and analysis result is sent to user, improved the degree of automation and efficiency of video monitoring as a result, reduce cost of labor.
Description
This application involves information technology field more particularly to a kind of video analytic systems and video analysis method based on video monitoring.
In recent years, video monitoring system is gradually popularized in China, is widely used in the public places such as traffic, bank, supermarket, and the effect to become more and more important is played in public safety field.Video monitoring system usually obtains monitor video image by monitor camera, and is sent to user and browses, play back, handle and analyze.
In general, the analysis system based on video monitoring can be embedded in camera, can also be based on front end embedded device and server.The former has a single function, and processing speed and performance have larger limitation；The latter's processing capacity is stronger, there is biggish flexibility.
It should be noted that the above description of the technical background is intended merely to conveniently, clear and complete description of the technical solution of the present application, and facilitates the understanding of those skilled in the art and illustrate.It cannot be merely because these schemes be expounded in the background technology part of the application and think that above-mentioned technical proposal is known to those skilled in the art.
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The inventors of the present application found that there are problems for the existing video analytic system based on video monitoring, such as:
1, human cost is high: the video that monitor camera obtains is watched by human eye, therefore, in large-scale video monitoring system and its analysis system, is needed to consume a large amount of manpower and is managed and round-the-clock maintenance to monitoring system；
2, it low efficiency: after event occurs, needs manually to find evidence in a large amount of video data, it is sometimes desirable to which special object could be checked in complicated scene with huge human resources by taking a long time；
3, the degree of automation is low: the almost all of event detection carried out based on monitored results, data statistics, and the work such as data report are completed by manually.
Embodiments herein provides a kind of video analytic system based on video monitoring and video analysis method, analysis can be carried out to video monitoring image acquired in video analytic system automatically and analysis result is sent to user, thus, the degree of automation and efficiency for improving video monitoring, reduces cost of labor.
According to the embodiment of the present application in a first aspect, providing a kind of video analytic system based on video monitoring, comprising:
Video monitoring subsystem is used to be shot to obtain video monitoring image；
Video analytics subsystem, and the video monitoring subsystem communication, for analyzing the video monitoring subsystem video monitoring image obtained；And
Information issues subsystem, communicates with the video analytics subsystem, for being sent to the analysis result of the video monitoring subsystem video monitoring image obtained and the video analytics subsystem,
Wherein, the video analytics subsystem includes:
Movement analysis unit (motion analysis), is used to detect the prospect of video monitoring image；
Feature extraction unit (feature extraction), is used to extract the feature of the prospect；
Rule of judgment setup unit (rule definition), is used to set Rule of judgment, and the Rule of judgment is corresponding with scene applied by the video monitoring；And
The Rule of judgment set by judging unit (rule comparison), the feature extracted according to the feature extraction unit and the Rule of judgment setup unit is compared, to obtain the analysis result.
According to the another aspect of the embodiment of the present application, a kind of video analysis method based on video monitoring is provided, comprising:
It is shot to obtain video monitoring image；
The video monitoring image is analyzed, to obtain analysis result；And
The video monitoring image and the analysis result are sent,
Wherein, the video monitoring image is analyzed, includes: to obtain analysis result
Detect the prospect of video monitoring image；
Extract the feature of the prospect；
Rule of judgment is set, the Rule of judgment is corresponding with scene applied by the video monitoring method；And
It is compared according to the feature and the Rule of judgment that extract, to obtain the analysis result.
The beneficial effects of the present application are as follows: the degree of automation and efficiency of video monitoring is improved, cost of labor is reduced.
Referring to following description and accompanying drawings, specific implementations of the present application are disclosed in detail, the principle for specifying the application can be in a manner of adopted.It should be understood that presently filed embodiment is not so limited in range.In the range of the spirit and terms of appended claims, presently filed embodiment includes many changes, modifications and is equal.
The feature for describing and/or showing for a kind of embodiment can be used in one or more other embodiments in a manner of same or similar, be combined with the feature in other embodiment, or the feature in substitution other embodiment.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, one integral piece, step or component when using herein, but the presence or additional of one or more other features, one integral piece, step or component is not precluded.
Included attached drawing is used to provide that a further understanding of the embodiments of the present application, which constitute part of specification, for illustrating presently filed embodiment, and with verbal description comes together to illustrate the principle of the application.It should be evident that the drawings in the following description are only some examples of the present application, for those of ordinary skill in the art, without any creative labor, it is also possible to obtain other drawings based on these drawings.In the accompanying drawings:
Fig. 1 is a schematic diagram of the video analytic system of the embodiment of the present application 1；
Fig. 2 is a function structure schematic diagram of the video analytics subsystem of the embodiment of the present application 1；
Fig. 3 is the structure composed schematic diagram of the video analytics subsystem of the embodiment of the present application 1；
Fig. 4 is a schematic diagram of the video analysis method of the embodiment of the present application 2；
Fig. 5 is the schematic diagram analyzed the video monitoring image of the embodiment of the present application 2.
Referring to attached drawing, by following specification, the aforementioned and other feature of the application be will be apparent.In the specification and illustrated in the drawings, specifically disclose specific implementations of the present application, which show wherein can be using some embodiments of the principle of the application, it will be appreciated that, the application is not limited to described embodiment, on the contrary, the application includes whole modifications, modification and the equivalent fallen within the scope of the appended claims.The various embodiments of the application are illustrated with reference to the accompanying drawing.These embodiments are only exemplary, and are not the limitations to the application.
Embodiment 1
The embodiment of the present application 1 provides a kind of video analytic system based on video monitoring.
Fig. 1 is a schematic diagram of the video analytic system of embodiment 1, as shown in Figure 1, video analytic system 100 may include: video monitoring subsystem 101, video analytics subsystem 102 and information issue subsystem 103.
In the present embodiment, video monitoring subsystem 101 is for being shot to obtain video monitoring image；Video analytics subsystem 102 is communicated with video monitoring subsystem 101, for analyzing the video monitoring image obtained of video monitoring subsystem 101；Information publication subsystem 103 is communicated with video analytics subsystem 102, is sent for the analysis result to the video monitoring image obtained of video monitoring subsystem 101 and video analytics subsystem 102.
As shown in Figure 1, video monitoring subsystem 101 obtains video monitoring image, and video monitoring image is sent to video analytics subsystem 102 in the form of video flowing (Video Flow) in the video analytic system of the present embodiment.Video analytics subsystem 102 analyzes the video monitoring image received, by event information and data information etc. included in for example available video monitoring image of the analysis, the result of analysis can be sent to information publication subsystem 103 in the form of event and data flow (Event and Data Flow) by video analytics subsystem 102.The analysis result received can be sent to user by information publication subsystem 103, thus, user can obtain the analysis result based on video monitoring image, especially, for being in the user of one line of production and operation, it can directly be performed corresponding processing with reference to these analysis results, these users for being in one line of production and operation for example can be driver, police or forest ranger etc..
In contrast, in the prior art, user passes through video analytic system, it is often only capable of obtaining video monitoring image and very limited simple analysis result, and these analysis results for having reference value can not be directly obtained from video analytic system, therefore, the video analytic system of the prior art often only sends video monitoring image and simple analysis result to certain customers, user, which needs to carry out further analysis, can just obtain the analysis result of reference value, so the convenience of video analytic system when in use is restricted.
Furthermore, in the present embodiment, the video monitoring image received can also be sent to information publication subsystem 103 by video analytics subsystem 102 in the form of video flowing, and it is issued by information publication subsystem 103, thus, user can not only obtain the analysis to video monitoring image as a result, the raw information of video monitoring image can also be obtained.
The video analytic system of the present embodiment can carry out analysis to video monitoring image and send to analysis result, thereby, it is possible to improve the degree of automation and efficiency of video monitoring, and reduce cost of labor.
In the present embodiment, video monitoring subsystem 101 can be photographic device, and the structure about photographic device can refer to the prior art, and it will not be described for the present embodiment.
In the present embodiment, the analysis that video analytics subsystem 102 can carry out video monitoring image may include: event detection (event detection), data statistics (data statistics) and/or object retrieval (object searching).Wherein, event detection for example can be and detect to scheduled event, which for example can be slow traffic and/or gathering of people etc.；Data statistics for example can be and count to data involved in video monitoring image, which for example can be the data such as the movement velocity of vehicle flowrate and/or moving object；Object retrieval, which for example can be, retrieves scheduled object, which for example can be specific personage, the vehicle of specific shape and/or specific license plate number etc..
Fig. 2 is a function structure schematic diagram of the video analytics subsystem of the present embodiment.As shown in Figure 2, video analytics subsystem 102 may include: motion analysis (motion analysis) unit 201, feature extraction (feature extraction) unit 202, Rule of judgment sets (rule definition) unit 203, and judgement (rule comparison) unit 204.
In the present embodiment, movement analysis unit 201 can be used for detecting the prospect of video monitoring image；Feature extraction unit 202 can be used for extracting the feature of the prospect；Rule of judgment setup unit 203 can be used for setting Rule of judgment, which can be corresponding with scene applied by the video analytic system 100；Rule of judgment set by the feature and Rule of judgment setup unit 203 that judging unit 204 can be extracted according to feature extraction unit 202 is compared, to obtain analysis result.
In the present embodiment, movement analysis unit 201 can carry out foreground detection to each frame image in video monitoring image received by video analytics subsystem 102, to detect the prospect of each frame image.The prior art can be referred to about foreground detection method, it will not be described for the present embodiment.
In the present embodiment, feature extraction unit 202 can be based on the extracted prospect of movement analysis unit 201, the feature of the prospect is extracted, the feature of the prospect for example may include: the position of object in the prospect, movement velocity, the direction of motion, motion profile (trajectory), size (size), texture (texture), color (colour) and color gradient (gradient) etc..The extracted feature of feature extraction unit 202 can be above-mentioned one or more of the feature enumerated, or can also extract the feature except the above-mentioned feature enumerated.
In the present embodiment, the feature extracted can also be combined by feature extraction unit 202, to form feature combination, this feature combination can be high dimensional feature combination, the dimension of this feature combination can be identical with the type number of the feature extracted, for example, the latitude of this feature combination can be 12 dimensions.
In the present embodiment, feature extraction unit 202 can the scene according to applied by the video analytic system 100, select the feature for forming this feature combination, thus, it is capable of the type of the analysis result according to required by the light conditions of each scene and each scene, to select to enable the video analytic system 100 of the present embodiment to be applied to different scenes, to improve its scalability for the feature for forming this feature combination.
For example, feature extraction unit 202, which can choose by movement velocity, texture and color gradient, forms this feature combination when the scene applied by the video analytic system is traffic monitoring；When the scene applied by the video analytic system is parking violation monitoring, feature extraction unit 202, which can choose by position, motion profile, size and texture, forms this feature combination.
In the present embodiment, feature extraction unit 202 can be according to configuration file (configuration file) come for not
For forming the feature of this feature combination, which can be corresponding with scene for same scene selection.In addition, the present embodiment can also select the feature for forming this feature combination in other way.
In the present embodiment, scene applied by the video analytic system 100 for example can be traffic monitoring, safety monitoring, forest monitoring, Agricultural Monitoring or factory's monitoring etc..In addition, scene applied by the video analytic system 100 of the present embodiment can be without being limited thereto, other scenes being also possible to except above-mentioned cited scene.
In the present embodiment, Rule of judgment setup unit 203 can set Rule of judgment corresponding with the scene, such as: when the scene applied by the video analytic system is traffic monitoring, Rule of judgment set by Rule of judgment setup unit 203 may include area-of-interest (Region of Interest, RoI position and size), lane line direction (lane direction), lane line function (lane function), the refresh cycle (traffic light refreshing cycle) of traffic lights, and threshold value (event duration threshold) of incident duration etc.；When the scene applied by the video analytic system is safety monitoring, Rule of judgment set by Rule of judgment setup unit 203 may include area-of-interest (Region of Interest, RoI position and size), the gather density (density) of target object, the movement velocity (speed) of target object and the motion frequency (frequency) of target object etc..
In the present embodiment, Rule of judgment setup unit 203 can set the Rule of judgment according to the configuration file corresponding with scene.In addition, the present embodiment can also set Rule of judgment corresponding with scene in other way.
In the present embodiment, judging unit 204 can the Rule of judgment according to set by the extracted feature of feature extraction unit 202 and Rule of judgment setup unit 203 be compared, according to comparison result, to export the result of analysis.For example, analysis result is that gathering of people event occurs when the aggregation extent that comparison result is the target object in area-of-interest is more than predetermined threshold.
Fig. 3 is the structure composed schematic diagram of the video analytics subsystem 102 of the embodiment of the present application, which can be used to realize the function of the video analytics subsystem shown in Fig. 2.
As shown in Figure 3, it may include back-end analysis equipment 303 in the structure composed of the video analytics subsystem 102, the back-end analysis equipment 303 is used to carry out event detection (event detection) to video monitoring image, data statistics (data statistics) and/or object retrieval (object searching).In the present embodiment, back-end analysis equipment 303 can for example be realized by server.
As shown in figure 3, can also include front-end processing portion 301 and/or frontal chromatography equipment 302 in the structure composed of the video analytics subsystem 102.
In the present embodiment, front-end processing portion 301 can be used for carrying out event detection and/or data statistics to video monitoring image.In the present embodiment, front-end processing portion 301 can be embedded in video monitoring subsystem 101, for example,
Front-end processing portion 301 can be embedded in photographic device.
In the present embodiment, frontal chromatography equipment 302 can be used for carrying out event detection and/or data statistics to video monitoring image.In the present embodiment, frontal chromatography equipment 302 can be arranged at outdoor environment, the frontal chromatography equipment 302 for example can be industrial PC (Industrial PC), digital processing unit (DSP) and/or dedicated embedded device (specialized embedded device) etc..
In the video analytics subsystem 102 of the present embodiment, back-end analysis equipment 303 can have strongest data-handling capacity, the processing capacity of frontal chromatography equipment 302 is taken second place, the processing capacity in front-end processing portion 301 is most weak, thus, front-end processing portion 301 is able to carry out relatively simple event detection and/or data statistics, frontal chromatography equipment 302 is able to carry out more complicated event detection and/or data statistics, back-end analysis equipment 303 is able to carry out the most complicated event detection and/or data statistics, and is able to carry out object retrieval.
In the present embodiment, back-end analysis equipment 303 can obtain the analysis result of front-end processing portion 301 and/or frontal chromatography equipment 302, back-end analysis equipment 303 can be analyzed based on the analysis result of front-end processing portion 301 and/or frontal chromatography equipment 302 as a result, be improved efficiency.Such as, it can also include memory 304 in the structure composed of the video analytics subsystem 102 in Fig. 3, which can store the analysis result of front-end processing portion 301 and/or frontal chromatography equipment 302, also, back-end analysis equipment 303 can read the analysis result from memory 304.
In the present embodiment, since back-end analysis equipment 303 has strongest data-handling capacity, which can also have the function of at least one in following:
1, the working condition of video analytics subsystem 102 is monitored.Wherein, the working condition controls memory space and utilization rate of apparatus of load and/or memory etc. for example including equipment connection status, equipment init state.In addition, back-end analysis equipment 303 can issue alarm signal to notify administrator in the case where the working condition exception.
2, the analysis of video analytics subsystem 102 is initialized.Such as, back-end analysis equipment 303 can initialize the analysis of video analytics subsystem 102 by setting configuration file (configuration file), the initialization may include: that the positions and dimensions of area-of-interest (ROI) are arranged, parameter for event detection is set, and/or the configuration data of user is formatted.Furthermore, the content of initialization can be arranged in back-end analysis equipment 303 according to the application scenarios of the video analytic system 100, such as, under traffic monitoring scene, the content of initialization may include: setting lane or road area to be seen, threshold value needed for event detection is set, and the format (jam index format) of congestion in road index is configured according to different needs.
3, the user information of video monitoring subsystem 101 is managed.For example, back-end analysis equipment 303 can be the different security level of user setting of the video analytic system 100, and save and the usage record of tracking user.
4, the analysis result of video analytics subsystem 102 is managed.For example, back-end analysis equipment 303 can save analysis result, update, generate list of thing, generates report to be released, and/or the template (template) of report etc. that setting is to be released.Wherein, report to be released for example can be the combination of writings and image, for example, report to be released can be the information about the section that traffic accident occurs, it may include text in the information to be released, also may further include the monitor video image that the section of traffic accident occurs.
In the present embodiment, video analytics subsystem 102 can be set independently of video monitoring subsystem 101, thus, it can be according to the application scenarios of the video analytic system 100, the analytic function of video analytics subsystem 102 is set, to improve the scalability of setting video analytics subsystem 102.
In the present embodiment, information issues subsystem 103 can be by the video monitoring image obtained of video monitoring subsystem 101, and the analysis result of video analytics subsystem 102 is sent to user via network, which for example can be local area network (LAN) or Wireless Fidelity (Wi-Fi) network etc..In addition, user can receive the video monitoring image and analysis result via terminal device in the present embodiment.
In the present embodiment, information publication subsystem 103 can also be set independently of video monitoring subsystem 101.
In the present embodiment, multiple video analytic systems 100 can be configured with hierarchy, and the video analytic system of each level can have different scale and permission, also, the video analytic system of each level can have identical structure.Such as, first layer video analytic system can have the scale for only covering a street, second layer video analytic system can have the scale in one administrative area of covering, third layer video analytic system can have the scale in one city of covering, and, second layer video analytic system can read the data of first layer video analytic system and can control first layer video analytic system, third layer video analytic system can read the data of first layer video analytic system and second layer video analytic system and control first layer video analytic system and second layer video analytic system, but, first layer video analytic system can not read the data of second layer video analytic system and third layer video analytic system, also it can not be controlled.
The video analytic system of the present embodiment can carry out analysis to video monitoring image and send to analysis result, thereby, it is possible to improve the degree of automation and efficiency of video monitoring, and reduce cost of labor；In addition, the video analytic system of the present embodiment has stronger scalability.
Embodiment 2
The embodiment of the present application 2 provides a kind of video analysis method, corresponding with the video analytic system of embodiment 1.
Fig. 4 is a schematic diagram of the video analysis method of the present embodiment, as shown in figure 4, this method comprises:
Step 401 is shot to obtain video monitoring image；
Step 402 analyzes the video monitoring image, to obtain analysis result；And
Step 403 sends the video monitoring image and the analysis result.
Fig. 5 is the schematic diagram analyzed the video monitoring image of the present embodiment, as shown in figure 5, the analysis includes:
Step 501, the prospect for detecting video monitoring image；
Step 502, the feature for extracting the prospect；
Step 503, setting Rule of judgment, the Rule of judgment are corresponding with scene applied by the video monitoring method；And
Step 504 is compared according to the feature and the Rule of judgment that extract, to obtain the analysis result.
Wherein, in step 502, the feature extracted includes: the position of object in the prospect, movement velocity, the direction of motion, motion profile (trajectory), size, texture, color and color gradient.
In the present embodiment, the feature extracted is combined to form feature combination；Further, it is also possible to set the feature type and quantity for constituting this feature combination according to scene applied by the video monitoring method.
In step 503, the Rule of judgment is set according to configuration file corresponding with the scene, wherein the scene includes traffic monitoring, safety monitoring, forest monitoring, Agricultural Monitoring or factory's monitoring.
The explanation for closing each step in this present embodiment, can be not repeated to illustrate herein with the explanation in reference implementation example 1 about each component part of video analytic system.
According to the video analysis method based on video monitoring of the present embodiment, analysis can be carried out to video monitoring image and analysis result is sent, thereby, it is possible to improve the degree of automation and efficiency of video monitoring, and reduces cost of labor；In addition, the video analysis method of the present embodiment has stronger scalability.
The embodiment of the present application also provides a kind of computer-readable program, wherein described program makes the video analytic system execute video analysis method as described in example 2 when executing described program in video analytic system.
The embodiment of the present application also provides a kind of storage medium for being stored with computer-readable program, wherein the storage is situated between
Matter stores above-mentioned computer-readable program, and the computer-readable program makes video analytic system execute video analysis method as described in example 2.
Hardware, the software module executed by processor or both combination can be embodied directly in conjunction with the video analytic system that the embodiment of the present invention describes.For example, one or more combinations of one or more of Fig. 1, functional block diagram shown in 2 and/or functional block diagram, both can correspond to each software module of computer program process, and can also correspond to each hardware module.These software modules can correspond respectively to Fig. 4, each step shown in 5.These software modules are for example solidified using field programmable gate array (FPGA) and are realized by these hardware modules.
Software module can be located at the storage medium of RAM memory, flash memory, ROM memory, eprom memory, eeprom memory, register, hard disk, mobile disk, CD-ROM or any other form known in the art.A kind of storage medium can be coupled to processor, to enable a processor to from the read information, and information can be written to the storage medium；Or the storage medium can be the component part of processor.Pocessor and storage media can be located in ASIC.The software module can store in a memory in the mobile terminal, also can store in the storage card that can be inserted into mobile terminal.For example, the software module is storable in the flash memory device of the MEGA-SIM card or large capacity if equipment (such as mobile terminal) is using the MEGA-SIM card of larger capacity or the flash memory device of large capacity.
For one or more combinations of Fig. 1, one or more of the functional block diagrams of 2 descriptions and/or functional block diagram, it can be implemented as general processor for executing function described herein, digital signal processor (DSP), specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components or it be any appropriately combined.For one or more combinations of one or more of Fig. 1-3 functional block diagram described and/or functional block diagram, it is also implemented as calculating the combination of equipment, for example, the combination of DSP and microprocessor, multi-microprocessor, the one or more microprocessors or any other this configuration combined with DSP communication.
Combine specific embodiment that the application is described above, it will be appreciated by those skilled in the art that these descriptions are all exemplary, it is not the limitation to the application protection scope.Those skilled in the art can make various variants and modifications to the application according to the principle of the application, these variants and modifications are also within the scope of application.
Claims (12)
- A kind of video analytic system based on video monitoring, comprising:Video monitoring subsystem is used to be shot to obtain video monitoring image；Video analytics subsystem, and the video monitoring subsystem communication, for analyzing the video monitoring subsystem video monitoring image obtained；AndInformation issues subsystem, communicates with the video analytics subsystem, for being sent to the analysis result of the video monitoring subsystem video monitoring image obtained and the video analytics subsystem,Wherein, the video analytics subsystem includes:Movement analysis unit is used to detect the prospect of video monitoring image；Feature extraction unit is used to extract the feature of the prospect；Rule of judgment setup unit, is used to set Rule of judgment, and the Rule of judgment is corresponding with scene applied by the video analytic system；AndThe Rule of judgment set by judging unit, the feature extracted according to the feature extraction unit and the Rule of judgment setup unit is compared, to obtain the analysis result.
- Video analytic system as described in claim 1, whereinThe extracted feature of feature extraction unit includes: the position of object, movement velocity, the direction of motion, motion profile, size, texture, color and color gradient in the prospect；The feature extraction unit forms feature combination also according to the combination of extracted feature.
- Video analytic system as described in claim 1, whereinThe Rule of judgment configuration part sets the Rule of judgment according to configuration file corresponding with the scene, wherein the scene includes traffic monitoring, safety monitoring, forest monitoring, Agricultural Monitoring or factory's monitoring.
- Video analytic system as described in claim 1, whereinThe video analytics subsystem includes: event detection, data statistics and/or object retrieval to the analysis of the video monitoring image.
- Video analytic system as described in claim 1, wherein the information publication subsystem sends event detected by the video analytics subsystem and/or the data counted.
- Video analytic system as described in claim 1, wherein the video analytics subsystem includes:Back-end analysis equipment is used to carry out event detection, data statistics and/or object to the video monitoring image Retrieval.
- Video analytic system as claimed in claim 6, wherein the video analytics subsystem further include:Front-end processing portion is embedded in the photographic device of the video monitoring subsystem, for carrying out event detection and/or data statistics to the video monitoring image；And/orFrontal chromatography equipment, is arranged at outdoor environment, for carrying out event detection and/or data statistics to the video monitoring image.
- Video analytic system as claimed in claim 7, wherein the back-end analysis equipment is used to obtain the analysis result in the front-end processing portion and/or the frontal chromatography equipment.
- Video analytic system as claimed in claim 7, wherein the back-end analysis equipment is also used to realize at least one in following function:The working condition of the video analytics subsystem is monitored；To the video analytics subsystem analysis initialize；The user information of the video monitoring subsystem is managed；AndThe analysis result of the video analytics subsystem is managed.
- A kind of video analysis method based on video monitoring, comprising:It is shot to obtain video monitoring image；The video monitoring image is analyzed, to obtain analysis result；AndThe video monitoring image and the analysis result are sent,Wherein, the video monitoring image is analyzed, includes: to obtain analysis resultDetect the prospect of video monitoring image；Extract the feature of the prospect；Rule of judgment is set, the Rule of judgment is corresponding with scene applied by the video monitoring method；AndIt is compared according to the feature and the Rule of judgment that extract, to obtain the analysis result.
- Video analysis method as claimed in claim 10, whereinThe feature extracted includes: the position of object, movement velocity, the direction of motion, motion profile, size, texture, color and color gradient in the prospect；Also, the feature extracted is combined to form feature combination.
- Video analysis method as claimed in claim 10, wherein setting Rule of judgment includes:The Rule of judgment is set according to configuration file corresponding with the scene, wherein the scene includes traffic monitoring, safety monitoring, forest monitoring, Agricultural Monitoring or factory's monitoring.
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