CN109376577A - Video synthesis analysis method and system - Google Patents
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- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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Abstract
The invention discloses a kind of video synthesis analysis method and systems, which comprises receives the image information that several image acquiring devices are sent；Described image information is carried out judging to determine image type, and image information is analyzed using with the image type matched analysis method determined, obtains image feature information.The embodiment of the present invention is by carrying out discriminance analysis to video image according to human face analysis method, vehicle analysis method, pedestrian's analysis method, video structural method, population analysis method, abnormal behaviour analysis method, obtain the characteristic information in video image, being alarmed if characteristic information meets alert if, it is high thus to solve rate of false alarm height, false alarm rate in existing technology, accurately the content in monitored scene can not be understood simultaneously, it can not automatic early-warning to abnormal behaviour and the problem of alarm.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of video synthesis analysis methods and system.
Background technique
With the universal video monitoring system of camera network in public places foundation and application be security defence, it is criminal
The fields such as detective provide guarantee.By artificial mode, the personnel in monitor video are carried out investigations and analyzed, on the one hand may be used
Important warning information can be ignored, on the other hand by human eye viewing video inefficiency and harmful to human.Therefore this just there is an urgent need to
Intelligent video monitoring, to assist monitoring personnel.
In traditional video intelligent analysis system, due to the continuous expansion of video scale, human cost is also higher and higher,
It is limited to the efficiency of old intelligent analysis process simultaneously, leading to the analysis automated, there are rate of false alarm height, false alarm rate height etc. to ask
Topic, while accurately the content in monitored scene can not be understood, it cannot achieve the automatic early-warning and report to abnormal behaviour
It is alert.
Summary of the invention
The embodiment of the present invention provides a kind of video synthesis analysis system, to solve it is existing in the prior art can not be accurate
The problem of understanding the content in monitored scene.
In a first aspect, the embodiment of the present invention provides a kind of video synthesis analysis system, which comprises
Receive the image information that several image acquiring devices are sent；
Judge determining image type to described image information, and using with the matched analysis of image type determined
Method analyzes image information, obtains image feature information.
Optionally, the method also includes: according to obtain image feature information send warning message.
Optionally, described that described image information is carried out to judge to determine image type, and utilize matched with image type
Analysis method analyzes image, obtains image feature information, specifically includes: being facial image in the image type determined
In the case where, image information is analyzed using with the facial image matched human face analysis method determined, obtains face
Characteristic information.
The face characteristic information includes one or more of: the gender of personnel, age, ethnic group, expression, mouth in image
Face value that face value, the women that horn shape state, male think think, left eye wear sunglasses confidence level, right eye wears sunglasses confidence level, people
Face quality, healthy looking value, color spot, whelk, black eye new line angle.
Optionally, described that described image information is carried out to judge to determine image type, and utilize matched with image type
Analysis method analyzes image, obtains image feature information, specifically includes: being vehicle image in the image type determined
In the case where, image information is analyzed using the vehicle analysis method with the Car image matching determined, obtains vehicle
Characteristic information；
The vehicle characteristic information includes one or more of: the brand number of vehicle, number plate color, number plate type,
Body color, vehicle brand, whether there is or not skylights, interior goods of furniture for display rather than for use, annual test mark, luggage carrier.
Optionally, described that described image information is carried out to judge to determine image type, and utilize matched with image type
Analysis method analyzes image, obtains image feature information, specifically includes: being pedestrian image in the image type determined
In the case where, image information is analyzed using with the pedestrian image matched pedestrian's analysis method determined, obtains pedestrian
Characteristic information；
Pedestrian's characteristic information includes one or more of: the gender of pedestrian, the age, whether using mobile phone, whether
Wear glasses, whether be branded as, lower part of the body dress ornament color, lower part of the body dress ornament, upper body dress ornament color, upper body dress ornament, upper body dress ornament disaggregated classification,
Upper body dress ornament texture, body towards, whether band umbrella.
Optionally, described that described image information is carried out to judge to determine image type, and utilize matched with image type
Analysis method analyzes image, obtains image feature information, specifically includes: being crowd's image in the image type determined
In the case where, image information is analyzed using the population analysis method with the crowd's images match determined, obtains crowd
Characteristic information；
The crowd characteristic information includes one or more of: the density of crowd, Crowds Distribute, crowd movement direction,
Crowd movement's speed, crowd are abnormal.
Optionally, described that described image information is carried out to judge to determine image type, and utilize matched with image type
Analysis method analyzes image, obtains image feature information, specifically includes: being human behavior in the image type determined
In the case where image, image information is divided using the human behavior analysis method with the human behavior images match determined
Analysis obtains human behavior characteristic information；
The human behavior characteristic information includes one or more of: clustering group dissipates, inversely walks, fight, fall
, illegal invasion, illegally cross the border.
Optionally, the method also includes being handled using video structure analyzing method image information, with from figure
As extracting high-level characteristic in information；
The method of the processing includes: space-time dividing method, object identifying method.
Optionally, described image acquisition device includes one or more of: gunlock, ball machine, capture machine, video camera.
Second aspect, the embodiment of the present invention provide a kind of video synthesis analysis system, including image collection module, server
And analysis module；
The server obtains module communication with described image by network layer and connect, and the server is for receiving image
It obtains the image information that module is sent and described image information is carried out judging to determine image type and starts corresponding analysis mould
Block；
The analysis module and the server communication connection, the analysis module are obtained for analyzing image
Image feature information.
It optionally, further include alarm module, the alarm module and the analysis module communication connection are described for receiving
The image feature information that analysis module is sent, and the image feature information according to acquisition sounds an alarm prompt information.
The embodiment of the present invention passes through according to human face analysis method, vehicle analysis method, pedestrian's analysis method, video structural
Method, population analysis method, abnormal behaviour analysis method to carry out discriminance analysis to video image, obtain the spy in video image
Reference breath is alarmed if characteristic information meets alert and if thus solves rate of false alarm height, false alarm rate in existing technology
Height, while can not accurately understand the content in monitored scene, can not automatic early-warning to abnormal behaviour and alarm
Problem.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is first embodiment of the invention method flow diagram；
Fig. 2 is second embodiment of the invention method flow diagram；
Fig. 3 is third embodiment of the invention system block diagram.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
First embodiment of the invention provides a kind of video synthesis analysis method, as shown in Figure 1, including that several images obtain dress
It sets, specifically comprises the following steps S101-S102,
Step S101 receives the image information that several image acquiring devices are sent；Image acquiring device includes in this step
Gunlock, ball machine, capture machine and/or video camera.
Step S102 judge determining image type to described image information, and using with the image type determined
Matched analysis method analyzes image information, obtains image feature information.
The embodiment of the present invention can be analyzed and be handled for extensive video, in human face analysis, vehicle analysis, row
The every field that people's analysis, video structure analyzing, population analysis, abnormal behaviour are analyzed all achieves good effect, can
Facilitate video to study and judge the information analysis, retrieval, processing of personnel, effectively increases video analysis efficiency, save staff's
Time.
Second embodiment of the invention provides a kind of video synthesis analysis method, including several image acquiring devices, specific to wrap
It includes:
Step S201 receives the image information that image acquiring device is sent；In this step image acquiring device include gunlock,
Ball machine, capture machine and/or video camera.
Step S202 carries out described image information to judge to determine image type, and utilizes and matched point of image type
Analysis method analyzes image, obtains image feature information；It include: to determine during specific implementation in this step
In the case that image type is facial image, using with the matched human face analysis method of facial image determined to image information
It is analyzed, obtains face characteristic information.In the case where the image type determined is vehicle image, using with determine
The vehicle analysis method of Car image matching analyzes image information, obtains vehicle characteristic information.In the image determined
In the case that type is pedestrian image, the deep learning skill in conjunction with the matched pedestrian's analysis method of the pedestrian image determined is utilized
Art carries out detection identification and pedestrian's Multiple recognition to the multidimensional characteristic of pedestrian in image, obtains pedestrian's characteristic information.It is determining
Image type be crowd's image in the case where, using the population analysis method with the crowd's images match determined to image believe
Breath is analyzed, and crowd characteristic information is obtained.The image type determined be personnel's behavior figure picture in the case where, using with it is true
The human behavior analysis method for the human behavior images match made carries out abnormal behaviour identification to image information and predicts its fortune
Dynamic trend and intention, obtain human behavior characteristic information.Wherein, face characteristic information includes: the gender of personnel, year in image
Face value that face value, the women that age, ethnic group, expression, corners of the mouth state, male think think, left eye wear sunglasses confidence level, right eye is worn
One of wear dark glasses confidence level, face quality, healthy looking value, color spot, whelk, black eye and new line angle are a variety of.
Vehicle characteristic information include: the brand number of vehicle, number plate color, number plate type, body color, vehicle brand, whether there is or not skylight,
One of interior goods of furniture for display rather than for use, annual test mark and luggage carrier are a variety of.Whether pedestrian's characteristic information includes: the gender of pedestrian, the age, makes
With mobile phone, whether wears glasses, whether is branded as, lower part of the body dress ornament color, lower part of the body dress ornament, upper body dress ornament color, upper body dress ornament, upper body
Dress ornament disaggregated classification, upper body dress ornament texture, body direction and whether band one of umbrella or a variety of.Crowd characteristic information includes: people
One of density, Crowds Distribute, crowd movement direction, crowd movement's speed and crowd's exception of group are a variety of.Human behavior
Characteristic information includes: that clustering group dissipates, inversely walks, fight, fall, illegal invasion and illegal one of crossing the border or more
Kind.
Step S203 sends warning message according to the image feature information obtained.If analysis obtains face spy in this step
Reference breath meet a suspect's face characteristic, vehicle characteristic information meets suspect vehicle feature, pedestrian's characteristic information meet it is suspicious
Personnel characteristics, crowd characteristic meet suspicious crowd characteristic or human behavior feature meets suspicious actions and then alarms.
It further include utilizing video structure analyzing method to image information according to semantic relation and when utilizing in the present embodiment
Space division segmentation method, object identifying method are capable of forming height to extract high-level characteristic from image information, by extracting high-level characteristic
The index data of effect, with realize structuring retrieve.
Third embodiment of the invention provides a kind of video synthesis analysis system -- view cube, including image collection module, clothes
Business device and analysis module；
The server obtains module communication with described image by network layer and connect, and the server is for receiving image
It obtains the image information that module is sent and described image information is carried out judging to determine image type and starts corresponding analysis mould
Block；
The analysis module and the server communication connection, the analysis module are obtained for analyzing image
Image feature information.
In the present embodiment, analysis module specifically includes human face analysis module for being analyzed face, for vehicle
The vehicle analysis module analyzed, pedestrian's analysis module for being analyzed pedestrian, for analyzing crowd
Population analysis module, abnormal behaviour analysis module and video structure analyzing module for being analyzed abnormal behaviour；
Wherein, human face analysis module can be realized with video camera direct communication link to the gender of personnel, age, ethnic group point in video
Face value that face value, the women that analysis, happiness, corners of the mouth state, male think think, left eye wear sunglasses confidence level, right eye wears ink
Mirror confidence level, face quality, healthy looking value, color spot, whelk, black eye, smile, new line angle information are detected.
Vehicle analysis module identifies brand number, the number plate of vehicle by carrying out real-time intelligent analysis to video flowing in real time
Color, number plate type, body color, vehicle brand and whether there is or not skylight, paper towel box, ornament, sunshading board, goods of furniture for display rather than for use, annual test marks, luggage carrier
Equal vehicle characteristics attribute information, and can be carried out vehicle dynamic and deploy to ensure effective monitoring and control of illegal activities, to it is stolen rob, illegal blacklist, hit-and-run, crime suspicion
Vehicle is alarmed.
Pedestrian's analysis module utilizes depth learning technology, realizes the multidimensional characteristic detection identification to pedestrian in video and pedestrian
Identification again.The multidimensional property feature of generation include the gender of people, the age, whether using mobile phone, whether wear glasses, whether attach the names of pre-determined candidates
Son, lower part of the body dress ornament color, lower part of the body dress ornament, upper body dress ornament color, upper body dress ornament, upper body dress ornament disaggregated classification, upper body dress ornament texture, body
Body towards, whether band umbrella information.
The analysis to clique, group personnel may be implemented in population analysis module, realizes density estimation and the space point of crowd
Cloth, grouping, the direction of motion and speed, attention-degree analysis can also be achieved crowd's abnormality detection, to be accused in time by alarm module
It is alert.
Abnormal behaviour module is by analyzing involved in target object with knowledge such as artificial intelligence, behaviouristics, psychology
Motor behavior characteristic rule carries out abnormal behaviour intelligent recognition and predicts its movement tendency and intention.Abnormal behaviour classification includes:
Clustering group dissipates, inversely walks, fight, fall, illegal invasion, illegally crossing the border.
It further include video structure analyzing module in the present embodiment, video structure analyzing module is using video intelligent point
Analysis, distributed type assemblies, big data retrieval technique.Wherein, analysis retrieval uses in the video based on artificial intelligence deep learning
Hold information extraction technology, to video content according to semantic relation, hand is handled using space-time dividing, Object identifying, feature extraction etc.
Section extracts high-level characteristic from video, and then forms efficient index data and realize structuring retrieval.
Specifically, further including alarm module, alarm module and analysis module communication connection in the present embodiment, divide for receiving
The image feature information that module is sent is analysed, and the image feature information according to acquisition sounds an alarm prompt information.
The present invention can be to photographic technique be carried out under complicated monitoring scene environment, by utilizing deep learning, calculating
The technologies such as machine vision, big data, cloud computing construct the height for having that vdiverse in function, category is complete, superior performance, scalability are excellent
Performance video synthesis analysis method and system have and dispose ability fast, that performance is excellent under the conditions of resource-constrained, can be realized big
The real time monitoring of scale video.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of video synthesis analysis method, which is characterized in that the described method includes:
Receive the image information that several image acquiring devices are sent；
Judge determining image type to described image information, and using with the matched analysis method of image type determined
Image information is analyzed, image feature information is obtained.
2. video synthesis analysis method as described in claim 1, which is characterized in that the method also includes: according to what is obtained
Image feature information sends warning message.
3. video synthesis analysis method as described in claim 1, which is characterized in that described to judge described image information
It determines image type, and image is analyzed using with image type matched analysis method, obtain image feature information, tool
Body include: in the case where the image type determined is facial image, using with the matched face of facial image determined
Analysis method analyzes image information, obtains face characteristic information；
The face characteristic information includes one or more of: the gender of personnel, age, ethnic group, expression, corners of the mouth shape in image
Face value that face value, the women that state, male think think, left eye wear sunglasses confidence level, right eye wears sunglasses confidence level, face matter
Amount, healthy looking value, color spot, whelk, black eye new line angle.
4. video synthesis analysis method as described in claim 1, which is characterized in that described to judge described image information
It determines image type, and image is analyzed using with image type matched analysis method, obtain image feature information, tool
Body includes: to utilize the vehicle with the Car image matching determined in the case where the image type determined is vehicle image
Analysis method analyzes image information, obtains vehicle characteristic information；
The vehicle characteristic information includes one or more of: the brand number of vehicle, number plate color, number plate type, vehicle body
Color, vehicle brand, whether there is or not skylights, interior goods of furniture for display rather than for use, annual test mark, luggage carrier.
5. video synthesis analysis method as described in claim 1, which is characterized in that described to judge described image information
It determines image type, and image is analyzed using with image type matched analysis method, obtain image feature information, tool
Body include: in the case where the image type determined is pedestrian image, using with the matched pedestrian of pedestrian image that determines
Analysis method analyzes image information, obtains pedestrian's characteristic information；
Pedestrian's characteristic information includes one or more of: the gender of pedestrian, the age, whether using mobile phone, whether hyperphoria with fixed eyeballs
Whether mirror is branded as, lower part of the body dress ornament color, lower part of the body dress ornament, upper body dress ornament color, upper body dress ornament, upper body dress ornament disaggregated classification, upper body
Dress ornament texture, body towards, whether band umbrella.
6. video synthesis analysis method as described in claim 1, which is characterized in that described to judge described image information
It determines image type, and image is analyzed using with image type matched analysis method, obtain image feature information, tool
Body includes: to utilize the crowd with the crowd's images match determined in the case where the image type determined is crowd's image
Analysis method analyzes image information, obtains crowd characteristic information；
The crowd characteristic information includes one or more of: the density of crowd, Crowds Distribute, crowd movement direction, crowd
Movement velocity, crowd are abnormal.
7. video synthesis analysis method as described in claim 1, which is characterized in that described to judge described image information
It determines image type, and image is analyzed using with image type matched analysis method, obtain image feature information, tool
Body include: in the case where the image type determined is personnel's behavior figure picture, using with the human behavior image determined
The human behavior analysis method matched analyzes image information, obtains human behavior characteristic information；
The human behavior characteristic information includes one or more of: clustering group dissipates, inversely walks, fight, fall, is non-
Method invasion is illegally crossed the border.
8. video synthesis analysis method as described in claim 1, which is characterized in that the method also includes utilizing video structure
Change analysis method to handle image information, to extract high-level characteristic from image information；
The method of the processing includes: space-time dividing method and/or object identifying method.
9. video synthesis analysis method as described in claim 1, which is characterized in that described image acquisition device includes with next
Kind is a variety of: gunlock, ball machine, capture machine, video camera.
10. a kind of video synthesis analysis system, which is characterized in that including image collection module, server and analysis module；
The server obtains module communication with described image by network layer and connect, and the server is for receiving image acquisition
The image information of module transmission simultaneously carries out judging to determine image type and starts corresponding analysis module to described image information；
The analysis module and the server communication connection, the analysis module obtain image for analyzing image
Characteristic information.
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