CN106791655A - A kind of method for processing video frequency and device - Google Patents
A kind of method for processing video frequency and device Download PDFInfo
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- CN106791655A CN106791655A CN201611210665.0A CN201611210665A CN106791655A CN 106791655 A CN106791655 A CN 106791655A CN 201611210665 A CN201611210665 A CN 201611210665A CN 106791655 A CN106791655 A CN 106791655A
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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Abstract
A kind of method for processing video frequency and device are the embodiment of the invention provides, methods described includes：Obtain images to be recognized；Obtain multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；The images to be recognized is compared with described multiple video images；When at least one video image in the images to be recognized with described multiple video images is compared successfully, sent a warning message to user.Target person can quickly be found by the embodiment of the present invention, and sent a warning message to user in time.
Description
Technical field
The present invention relates to technical field of video monitoring, and in particular to a kind of method for processing video frequency and device.
Background technology
With economic, society, the fast development of culture, growing day by day, more and more population from other places of impact at home and abroad power
City is flowed to, these populations increase while urbanization process is accelerated, also for city management brings bigger challenge, although,
Video monitoring provides technical support to urban safety, but, at present, camera is laid out in city and comes, respectively
The function of individual camera is more independent, when needing to search for certain target person, often by manual type to each shooting
Head shoot video image checked frame by frame, thus, it is impossible to quickly find target person, more cannot timely to user send
Warning information.
The content of the invention
A kind of method for processing video frequency and device are the embodiment of the invention provides, target person is found to quick, and in time
Sent a warning message to user.
Embodiment of the present invention first aspect provides a kind of method for processing video frequency, including：
Obtain images to be recognized；
Obtain multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；
The images to be recognized is compared with described multiple video images；
When at least one video image in the images to be recognized with described multiple video images is compared successfully, Xiang Yong
Family sends a warning message.
It is described described with reference to the embodiment of the present invention in a first aspect, in the first possible embodiment of first aspect
After obtaining multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities, and it is described will be described to be identified
Before image is compared with described multiple video images, methods described also includes：
Image quality evaluation is carried out to described multiple video images, the multiple image quality evaluation values are obtained；
Choose in the multiple image quality evaluation values more than corresponding multiple video images of predetermined quality threshold.
With reference to the embodiment of the present invention in a first aspect, in second possible embodiment of first aspect, the general is described
Images to be recognized is compared with described multiple video images, including：
Feature extraction is carried out to the images to be recognized, M fisrt feature is obtained；
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i for it is described multiple regard
Any video image in frequency image；
Whether the similarity between the M fisrt feature and N number of second feature is judged more than predetermined threshold value, in institute
When stating the similarity between M fisrt feature and N number of second feature more than the predetermined threshold value, the figure to be identified is confirmed
As being compared successfully with the video image i.
It is described to user with reference to the embodiment of the present invention in a first aspect, in the third possible embodiment of first aspect
Send a warning message, including：
It is determined that camera position corresponding with each video image at least one video image；
Determine the corresponding administrative staff of the corresponding camera position of each video image；
To the corresponding video figure of each corresponding corresponding administrative staff's transmission of camera position of video image
Picture.
With reference to embodiment of the present invention first aspect or first aspect the first to any possible embodiment in the third,
In the 4th kind of possible embodiment of first aspect, it is described sent a warning message to user after, methods described also includes：
At least one video image described in preserving, and at least one attribute information of video image, the category described in record
Property packet contain following at least one information：
Personage in the shooting time of video image, the position of video image, the numbering and video image of video image is special
Levy attribute.
Embodiment of the present invention second aspect provides a kind of video process apparatus, including：
First acquisition unit, for obtaining images to be recognized；
Second acquisition unit, for obtaining multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；
Comparing unit, for the images to be recognized to be compared with described multiple video images；
Alarm Unit, at least one video image ratio in the images to be recognized with described multiple video images
During to success, sent a warning message to user.
With reference to embodiment of the present invention second aspect, in the first possible embodiment of second aspect, at the video
Reason device also includes：
Evaluation unit, shoots in the second acquisition unit, obtaining at least one camera in the range of current deploying to ensure effective monitoring and control of illegal activities
Multiple video images after, image quality evaluation is carried out to described multiple video images, obtain the multiple picture quality and comment
Value；
Choose unit, for choose in the multiple image quality evaluation values it is corresponding more than predetermined quality threshold multiple regard
Frequency image, is performed by the comparing unit and the images to be recognized is compared with described multiple video images.
It is described to compare list in second possible embodiment of second aspect with reference to embodiment of the present invention second aspect
Unit includes：
Extraction module, for carrying out feature extraction to the images to be recognized, obtains M fisrt feature；
The extraction module, also particularly useful for：
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i for it is described multiple regard
Any video image in frequency image；
Judge module, for judging whether the similarity between the M fisrt feature and N number of second feature is more than
Predetermined threshold value, is similar between the M fisrt feature and N number of second feature in the judged result of the judge module
When degree is more than the predetermined threshold value, confirm that the images to be recognized is compared successfully with the video image i.
With reference to embodiment of the present invention second aspect, in the third possible embodiment of second aspect, the alarm is single
Unit includes：
Determining module, for determining camera position corresponding with each video image at least one video image
Put；
The determining module, also particularly useful for determining the corresponding management of the corresponding camera position of each video image
Personnel；
Sending module, for being sent therewith to the corresponding administrative staff of the corresponding camera position of each video image
Corresponding video image.
With reference to embodiment of the present invention second aspect or second aspect the first to any possible embodiment in the third,
In the 4th kind of possible embodiment of second aspect, it is characterised in that the video process apparatus also include：
Storage unit, after being sent a warning message to user in the Alarm Unit, at least one regards described in preservation
Frequency image, and at least one attribute information of video image described in record, the attribute information include following at least one information：
Personage in the shooting time of video image, the position of video image, the numbering and video image of video image is special
Levy attribute.
Implement the embodiment of the present invention, have the advantages that：
As can be seen that by the embodiment of the present invention, obtain images to be recognized, obtain in the range of current deploying to ensure effective monitoring and control of illegal activities at least one and take the photograph
As multiple video images that head shoots, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
At least one video image in multiple video images is compared when successfully, is sent a warning message to user, in this way, can look in time
To target, and sent a warning message to user in time.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, can also obtain other attached according to these accompanying drawings
Figure.
Fig. 1 is a kind of first embodiment schematic flow sheet of method for processing video frequency provided in an embodiment of the present invention；
Fig. 2 is a kind of second embodiment schematic flow sheet of method for processing video frequency provided in an embodiment of the present invention；
Fig. 3 a are a kind of first embodiment structural representations of video process apparatus provided in an embodiment of the present invention；
Fig. 3 b are the another structural representations of the video process apparatus described by Fig. 3 a provided in an embodiment of the present invention；
Fig. 3 c are the structural representations of the comparing unit of the video process apparatus described by Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 d are the structural representations of the Alarm Unit of the video process apparatus described by Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 e are the another structural representations of the video process apparatus described by Fig. 3 a provided in an embodiment of the present invention；
Fig. 4 is a kind of second embodiment structural representation of video process apparatus provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " in description and claims of this specification and the accompanying drawing and "
Four " it is etc. for distinguishing different objects, rather than for describing particular order.Additionally, term " comprising " and " having " and it
Any deformation, it is intended that covering non-exclusive is included.For example contain the process of series of steps or unit, method, be
System, product or equipment are not limited to the step of having listed or unit, but alternatively also include the step of not listing or list
Unit, or alternatively also include for these processes, method, product or other intrinsic steps of equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can be wrapped in conjunction with the embodiments
Containing at least one embodiment of the present invention.It is identical that each position in the description shows that the phrase might not each mean
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Video process apparatus described by the embodiment of the present invention can include smart mobile phone (such as Android phone, iOS mobile phones,
Windows Phone mobile phones etc.), panel computer, palm PC, notebook computer, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned is only citing, and non exhaustive, including but not limited to said apparatus, when
So, above-mentioned video process apparatus can also be server.
It should be noted that the video process apparatus in the embodiment of the present invention can be connected with multiple cameras, each shooting
Head is used equally to capture video image, and each camera can have a corresponding position mark, or, can have one with
Corresponding numbering.Under normal circumstances, camera may be provided at public place, for example, school, museum, crossroad, walking
Street, office building, garage, airport, hospital, subway station, station, bus platform, supermarket, hotel, public place of entertainment etc..Camera exists
After photographing video image, the video image can be saved in the memory of system where video process apparatus.Can in memory
The multiple images that are stored with storehouse, each image library can include the different video image of same people, and certainly, each image library can also be used
The video image that video image or certain specified camera in one region of storage shoot.
Still optionally further, in the embodiment of the present invention, each frame video image that camera shoots corresponds to an attribute
Information, attribute information is following at least one：The shooting time of video image, the position of video image, the attribute of video image
Character features attribute in parameter (form, size, resolution ratio etc.), the numbering and video image of video image.Above-mentioned video figure
Character features attribute as in may include but be not limited only to：Personage's number, character positions, personage's angle in video image etc.
Deng.
Explanation is needed further exist for, the video image of each camera collection is usually dynamic human face image, thus, this
The angle information of facial image can be planned in inventive embodiments, above-mentioned angle information may include but be not limited only to：Water
Flat rotational angle, the angle of pitch or gradient.For example, definable dynamic human face view data two spacing of requirement are not less than 30 pictures
Element, it is proposed that more than 60 pixels.Horizontally rotate angle no more than ± 30 °, the angle of pitch no more than ± 20 °, inclination angle no more than ±
45°.Recommended levels rotational angle is no more than ± 15 ° no more than ± 15 °, the angle of pitch no more than ± 10 °, inclination angle.For example, may be used also
Screened to whether facial image is blocked by other objects, it is generally the case that jewelry should not block face's main region, jewelry
Such as dark sunglasses, mouth mask and exaggeration jewellery, it is of course also possible to be covered with dust all over above camera, cause facial image to be hidden
Gear.The picture format of the video image in the embodiment of the present invention may include but be not limited only to：BMP, JPEG, JPEG2000, PNG etc.
Deng its size can be between 10-30KB, and each video image can also correspond to a shooting time and shoot the video
The camera Unified number big figure of panorama corresponding with facial image of image such as links at information (facial image and the global image
Set up feature correspondence relational file).
Fig. 1 is referred to, is a kind of first embodiment schematic flow sheet of method for processing video frequency provided in an embodiment of the present invention.
Method for processing video frequency described in the present embodiment, comprises the following steps：
101st, images to be recognized is obtained.
Wherein, any image that images to be recognized can be shot by camera.Certainly, images to be recognized is likely to as multiple figures
Picture.Above-mentioned images to be recognized can also be at least one image in any image storehouse.Certainly, above-mentioned images to be recognized can be bag
Image containing certain personage, certain personage can voluntarily be specified by user.It is of course also possible to obtain multiple images to be recognized, example
Such as, the positive face of same target person, side face, look up, overlook etc..
Still optionally further, other targets that can also be specified comprising user in images to be recognized, for example, automobile, car plate,
Can be acted according to alarm is completed with embodiment of the present invention similar mode.
Alternatively, in above-mentioned steps 101, images to be recognized is obtained, can also be realized as follows：Obtain target figure
As storehouse, any image is chosen from the target image storehouse as images to be recognized.In this way, can be by current a certain image library
Image is used as object of deploying to ensure effective monitoring and control of illegal activities.
102nd, multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities are obtained.
Wherein, above-mentioned current scope of deploying to ensure effective monitoring and control of illegal activities refers to the model of deploying to ensure effective monitoring and control of illegal activities of system where the video process apparatus in the embodiment of the present invention
Enclose, certainly, as above-mentioned known, each camera during monitoring, its coverage can as a small scope of deploying to ensure effective monitoring and control of illegal activities,
Current scope of deploying to ensure effective monitoring and control of illegal activities can be constituted by the monitoring range of multiple cameras.Certainly, video process apparatus can also select system where it
The monitoring range of the part camera in system is used as current scope of deploying to ensure effective monitoring and control of illegal activities, in this way, can obtain at least one in the range of current deploying to ensure effective monitoring and control of illegal activities
Multiple video images that camera shoots, because each camera can gather image according to fixed frame per second, thus, can obtain many
Open video image.
103rd, the images to be recognized is compared with described multiple video images.
Alternatively, in above-mentioned steps 103, the images to be recognized is compared with described multiple video images, can be wrapped
Include following steps：
31) feature extraction, is carried out to the images to be recognized, M fisrt feature is obtained；
32) feature extraction, is carried out to the video image i, N number of second feature is obtained, the video image i is described many
Open any video image in video image；
33) whether the similarity between the M fisrt feature and N number of second feature, is judged more than predetermined threshold value,
When similarity between the M fisrt feature and N number of second feature is more than the predetermined threshold value, wait to know described in confirmation
Other image is compared successfully with the video image i.
Wherein, feature extraction being carried out to images to be recognized, can obtain M fisrt feature, the M is just whole in step 31
Number, certainly, the mode of feature extraction may include but be not limited only to：Harris Corner Detection Algorithms, scale invariant feature (Scale
Invariant Feature Transform, SIFT) extraction algorithm, feature extraction is carried out using grader, grader may include
But it is not limited only to：SVMs (Support Vector Machine, SVM), convolutional neural networks, cascade neural network,
Genetic algorithm etc..This manner it is also possible to any video image in realizing to multiple video images carries out feature extraction, with video
As a example by image i, wherein, video image i is any one in the multiple video image, can obtain N number of second feature, and N is
Positive integer, and then, can be right using structural similarity (Structural Similarity Index Measurement, SSIM)
The feature that both obtain is compared.Above-mentioned predetermined threshold value can voluntarily be set by system default or user.Thus, can determine whether
Whether similarity between M fisrt feature and above-mentioned N number of second feature is stated more than predetermined threshold value, M fisrt feature with it is N number of
When similarity between second feature is more than predetermined threshold value, confirm that then images to be recognized is compared successfully with video image i.According to upper
Alignments are stated, images to be recognized can be compared with each video image in above-mentioned multiple video images, compared successfully,
Can be sent a warning message to user.
104th, when at least one video image in the images to be recognized with described multiple video images is compared successfully,
Sent a warning message to user.
Wherein, when at least one video image in images to be recognized and multiple video images is compared successfully, to user
Send a warning message.Above-mentioned warning information can be short message prompt information, can be vibration message, can be information of voice prompt.Certainly,
The number of users for responding the warning information can also be counted.
Alternatively, when all video images in images to be recognized and multiple video images are compared unsuccessfully, then under obtaining
The video image at a moment, and continue to complete comparison according to above-mentioned steps.
Alternatively, in above-mentioned steps 104, sent a warning message to user, it may include following steps：
41) camera position corresponding with each video image at least one video image, is determined；
42) the corresponding administrative staff of the corresponding camera position of each video image, are determined；
43), corresponding regarding is sent to the corresponding administrative staff of the corresponding camera position of each video image
Frequency image.
Wherein, each video image has an image sources, i.e. be which camera have taken this image, in this way,
The corresponding camera numbering of video image can be quickly found out, and then, the position of the camera can be further determined that, in this way, can look for
To the administrative staff (it is of course also possible to comprising Security Personnel, patrol personnel or police) of the camera region, thus,
After the administrative staff that the corresponding camera position region of each video image is determined, can be sent out to this part administrative staff
Send with to corresponding video image, can also send a warning message, it is of course also possible to inform administrative staff, wrapped in video image
The face position for containing, and in the position mark indoors map, will can then cook up the administrative staff and the face it
Between navigation way.
For example, video process apparatus are the server of the safety-protection system of certain section, then, the section may be regarded as a cloth
Control scope, images to be recognized can be the image comprising target, can in real time obtain the candid photograph image of the section, by images to be recognized with
Capture image to compare, when comparing successfully, can be sent a warning message to Security Personnel or keeper, in this way, can be quick
Target is found, and alarm is provided in time.
Alternatively, after above-mentioned steps 102, and before above-mentioned steps 103, may also include the steps of：
A image quality evaluation), is carried out to described multiple video images, the multiple image quality evaluation values are obtained；
B), it is more than corresponding multiple video images of predetermined quality threshold in the multiple image quality evaluation values of selection.
Wherein, in step, quality evaluation can be carried out to multiple video images, so that, filter out some image blurring
How video image, choose the measured image of matter, it is necessary to carry out image quality evaluation from image.It is above-mentioned how from multiple images
Choose best one of picture quality.Picture quality can be carried out using at least one image quality evaluation index to image respectively to comment
Valency, obtains image quality evaluation values, wherein, image quality evaluation index may include but be not limited only to：Average gray, mean square deviation,
Entropy, edge conservation degree, signal to noise ratio etc..The image quality evaluation values that may be defined as obtaining are bigger, then picture quality is better.
It should be noted that due to when use single evaluation index is evaluated picture quality, with certain limitation
Property, therefore, picture quality can be evaluated using multiple images quality evaluation index, certainly, picture quality is evaluated
When, not image quality evaluation index is The more the better, because image quality evaluation index is more, the meter of image quality assessment process
Calculate complexity higher, it is better also to may not be certain image quality evaluation effect, therefore, in the situation higher to image quality evaluation requirement
Under, picture quality can be evaluated using 2~10 image quality evaluation indexs.Specifically, image quality evaluation is chosen to refer to
Target number and which index, depending on the situation that implements.Certainly, specifically scene selection picture quality must be also combined to comment
Valency index, carries out carrying out the image quality index of image quality evaluation selection under image quality evaluation and bright ring border under dark situation
Can be different.
Alternatively, in the case of not high to image quality evaluation required precision, an image quality evaluation index can be used
Evaluated, for example, carrying out image quality evaluation values to pending image with entropy, it is believed that entropy is bigger, then illustrate picture quality
It is better, on the contrary, entropy is smaller, then illustrate that picture quality is poorer.
Alternatively, in the case of higher to image quality evaluation required precision, multiple images quality evaluation can be used
Index is evaluated pending image, and image quality evaluation is carried out to pending image in multiple images quality evaluation index
When, the weight of each image quality evaluation index in the plurality of image quality evaluation index can be set, can obtain multiple images matter
Amount evaluation of estimate, final image quality evaluation values, example are can obtain according to the plurality of image quality evaluation values and its corresponding weight
Such as, three image quality evaluation indexs are respectively：A indexs, B indexs and C indexs, the weight of A is a1, and the weight of B is a2, C's
Weight is a3, and when carrying out image quality evaluation to a certain image using A, B and C, the corresponding image quality evaluation values of A are b1, B couples
The image quality evaluation values answered are b2, and the corresponding image quality evaluation values of C are b3, then, last image quality evaluation values=
a1b1+a2b2+a3b3.Under normal circumstances, image quality evaluation values are bigger, illustrate that picture quality is better.
As can be seen that by the embodiment of the present invention, obtain images to be recognized, obtain in the range of current deploying to ensure effective monitoring and control of illegal activities at least one and take the photograph
As multiple video images that head shoots, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
At least one video image in multiple video images is compared when successfully, is sent a warning message to user, in this way, can look in time
To target, and sent a warning message to user in time.
Consistent with the abovely, Fig. 2 is referred to, is a kind of the second implementation of method for processing video frequency provided in an embodiment of the present invention
Example schematic flow sheet.Method for processing video frequency described in the present embodiment, comprises the following steps：
201st, images to be recognized is obtained.
202nd, multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities are obtained.
203rd, the images to be recognized is compared with described multiple video images.
204th, when at least one video image in the images to be recognized with described multiple video images is compared successfully,
Sent a warning message to user.
Alternatively, the specific descriptions of above-mentioned steps 201- steps 204 can be found in the step of the method for processing video frequency described by Fig. 1
Rapid 101- steps 104.
205th, at least one video image described in preserving, and at least one attribute information of video image described in record.
Alternatively, above-mentioned at least one video image can be preserved, it is of course also possible in obtaining at least one video image
The attribute information of each video image, and record the attribute information.
Alternatively, above-mentioned attribute information can be included following but is not limited only to：The shooting time of video image, video image
Character features attribute in position, the numbering and video image of video image.
Alternatively, in above-mentioned steps 205, when at least a video image is preserved, each video image can be set
The term of validity, it is generally the case that the memory storage capability of system where video process apparatus is limited, with camera shoot when
Between it is more next, the memory space of memory can be less and less, thus, video image the term of validity reach when, the video can be destroyed
Image.For example, the term of validity of video image is set to 30 days, then, after the video image is preserved, reach 30 days, can destroy
The video image.
Alternatively, after above-mentioned steps 205, can also comprise the following steps：
Receiving derives instruction, and being carried in the derivation instruction derives form；
At least one attribute information of video image is stated according to described in the derivation form derivation, is obtained and the derivation lattice
The corresponding file of formula.
Wherein, above-mentioned derivation form may include but be not limited only to：Word forms, excel forms, PDF, etc..
After obtaining above-mentioned at least one video image, derivation instruction can be input into, certainly, derivation form can be carried in derivation instruction, led
Go out at least one attribute information of video image, obtain a file corresponding with form is derived.In this way, user can will be above-mentioned
At least one attribute information of video image is derived and, and user on the one hand can be easy to consult, and on the other hand, also allows for printing.
Still optionally further, after above-mentioned steps 205, can also comprise the following steps：
Receiving derives instruction, and ExportRange configured information is carried in the derivation instruction；
According at least one attribute information of video image is stated described in the ExportRange configured information, obtain being led with described
Go out the corresponding file of scope configured information.
Wherein, certain time period that above-mentioned ExportRange configured information can be specified for user, or, user specify certain
Camera, or, certain region, etc. of deploying to ensure effective monitoring and control of illegal activities that user specifies.
As can be seen that by the embodiment of the present invention, obtain images to be recognized, obtain in the range of current deploying to ensure effective monitoring and control of illegal activities at least one and take the photograph
As multiple video images that head shoots, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
At least one video image in multiple video images is compared when successfully, is sent a warning message to user, in this way, can look in time
To target, and sent a warning message to user in time.
Consistent with the abovely, it is below the device of the above-mentioned method for processing video frequency of implementation, it is specific as follows：
Fig. 3 a are referred to, is a kind of first embodiment structural representation of video process apparatus provided in an embodiment of the present invention
Figure.Video process apparatus described in the present embodiment, including：First acquisition unit 301, second acquisition unit 302, comparison are single
Unit 303 and Alarm Unit 304, it is specific as follows：
First acquisition unit 301, for obtaining images to be recognized；
Second acquisition unit 302, for obtaining multiple video figures that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities
Picture；
Comparing unit 303, for the images to be recognized to be compared with described multiple video images；
Alarm Unit 304, at least one video figure in the images to be recognized with described multiple video images
As comparing when successfully, sent a warning message to user.
Alternatively, such as the another modification structures that Fig. 3 b, Fig. 3 b are the video process apparatus described in Fig. 3 a, it can also be wrapped
Include：It is specific as follows：
Evaluation unit 305, in the second acquisition unit 302, obtaining at least one shooting in the range of current deploying to ensure effective monitoring and control of illegal activities
After multiple video images that head shoots, image quality evaluation is carried out to described multiple video images, obtain the multiple image
Quality evaluation value；
Unit 306 is chosen, it is corresponding many more than predetermined quality threshold in the multiple image quality evaluation values for choosing
Video image is opened, is performed by the comparing unit 303 and the images to be recognized is compared with described multiple video images.
Alternatively, the specific refinement of the comparing unit 303 of the video process apparatus such as Fig. 3 c, Fig. 3 c described in Fig. 3 a
Structure, the comparing unit 303 may include：Extraction module 3031 and judge module 3032, it is specific as follows：
Extraction module 3031, for carrying out feature extraction to the images to be recognized, obtains M fisrt feature；
The extraction module 3031, also particularly useful for：
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i for it is described multiple regard
Any video image in frequency image；
Judge module 3032, for whether judging the similarity between the M fisrt feature and N number of second feature
More than predetermined threshold value, the judge module 3032 judged result for the M fisrt feature and N number of second feature it
Between similarity when being more than the predetermined threshold value, confirm that the images to be recognized is compared successfully with the video image i.
Alternatively, the specific refinement of the Alarm Unit 304 of the video process apparatus such as Fig. 3 d, Fig. 3 d described in Fig. 3 a
Structure, the Alarm Unit 304 may include：Determining module 3041 and sending module 3042, it is specific as follows：
Determining module 3041, for determining camera corresponding with each video image at least one video image
Position；
The determining module 3041, also particularly useful for determining that the corresponding camera position of each video image is corresponding
Administrative staff；
Sending module 3042, for being sent to the corresponding administrative staff of the corresponding camera position of each video image
Corresponding video image.
Alternatively, such as the another modification structures that Fig. 3 e, Fig. 3 e are the video process apparatus described in Fig. 3 a, it can also be wrapped
Include：Storage unit 307, it is specific as follows：
Storage unit 307, after being sent a warning message to user in the Alarm Unit, at least one described in preservation
Video image, and at least one attribute information of video image described in record, the attribute information include following at least one letter
Breath：
Personage in the shooting time of video image, the position of video image, the numbering and video image of video image is special
Levy attribute.
As can be seen that by the video process apparatus described by the embodiment of the present invention, images to be recognized can be obtained, obtain and work as
Before deploy to ensure effective monitoring and control of illegal activities in the range of at least one camera shoot multiple video images, by the images to be recognized and this, multiple video images enter
Row is compared, and when at least one video image in images to be recognized and multiple video images is compared successfully, is sent to user
Warning information, in this way, target can be found in time, and sends a warning message to user in time.
Consistent with the abovely, Fig. 4 is referred to, is a kind of the second implementation of video process apparatus provided in an embodiment of the present invention
Example structural representation.Video process apparatus described in the present embodiment, including：At least one input equipment 1000；At least one
Individual output equipment 2000；At least one processor 3000, such as CPU；With memory 4000, above-mentioned input equipment 1000, output
Equipment 2000, processor 3000 and memory 4000 are connected by bus 5000.
Wherein, above-mentioned input equipment 1000 concretely contact panel, physical button or mouse.
The concretely display screen of above-mentioned output equipment 2000.
Above-mentioned memory 4000 can be high-speed RAM memory, or nonvolatile storage (non-volatile
Memory), such as magnetic disk storage.Above-mentioned memory 4000 is used to store batch processing code, above-mentioned input equipment 1000, defeated
Going out equipment 2000 and processor 3000 is used to call the program code stored in memory 4000, performs following operation：
Above-mentioned processor 3000, is used for：
Obtain images to be recognized；
Obtain multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；
The images to be recognized is compared with described multiple video images；
When at least one video image in the images to be recognized with described multiple video images is compared successfully, Xiang Yong
Family sends a warning message.
Alternatively, above-mentioned processor 3000 obtains images to be recognized, including：
Obtain multiple and upload image, described multiple upload images are the different images of same people；
Image quality evaluation is carried out to described multiple upload images, the multiple image quality evaluation values are obtained；
The corresponding image that uploads of the maximum in the multiple image quality evaluation values is chosen as the images to be recognized.
Alternatively, above-mentioned processor 3000 compares the images to be recognized with described multiple video images, including：
Feature extraction is carried out to the images to be recognized, M fisrt feature is obtained；
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i for it is described multiple regard
Any video image in frequency image；
Whether the similarity between the M fisrt feature and N number of second feature is judged more than predetermined threshold value, in institute
When stating the similarity between M fisrt feature and N number of second feature more than the predetermined threshold value, the figure to be identified is confirmed
As being compared successfully with the video image i.
Alternatively, above-mentioned processor 3000 sends a warning message to user, including：
It is determined that camera position corresponding with each video image at least one video image；
Determine the corresponding administrative staff of the corresponding camera position of each video image；
To the corresponding video figure of each corresponding corresponding administrative staff's transmission of camera position of video image
Picture.
Alternatively, above-mentioned processor 3000, it is described sent a warning message to user after, also particularly useful for：
At least one video image described in preserving, and at least one attribute information of video image, the category described in record
Property packet contain following at least one information：
Personage in the shooting time of video image, the position of video image, the numbering and video image of video image is special
Levy attribute.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored with journey
Sequence, the part or all of step including any method for processing video frequency described in the above method embodiment when program is performed
Suddenly.
Although invention has been described to combine each embodiment herein, however, implementing the present invention for required protection
During, those skilled in the art are by checking the accompanying drawing, disclosure and appended claims, it will be appreciated that and it is real
Other changes of the existing open embodiment.In the claims, " including " (comprising) one word be not excluded for other composition
Part or step, "a" or "an" are not excluded for the situation of multiple.Single processor or other units can realize claim
In some functions enumerating.Mutually different has been recited in mutually different dependent some measures, it is not intended that these are arranged
Apply to combine and produce good effect.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer journey
Sequence product.Therefore, in terms of the present invention can be using complete hardware embodiment, complete software embodiment or combination software and hardware
The form of embodiment.And, the present invention can be used and wherein include the calculating of computer usable program code at one or more
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part, it would however also be possible to employ other distribution forms, such as passes through Internet or other wired or wireless telecommunication systems.
The present invention be with reference to the embodiment of the present invention method, device (equipment) and computer program product flow chart with/
Or block diagram is described.It should be understood that each flow during flow chart and/or block diagram can be realized by computer program instructions and/
Or the combination of the flow and/or square frame in square frame and flow chart and/or block diagram.These computer program instructions can be provided
To the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices producing one
Individual machine so that produced for realizing by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of being specified in one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices with spy
In determining the computer-readable memory that mode works so that instruction of the storage in the computer-readable memory is produced and include finger
Make the manufacture of device, the command device realize in one flow of flow chart or multiple one square frame of flow and/or block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented treatment, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Although with reference to specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case of bright spirit and scope, various modifications and combinations can be carried out to it.Correspondingly, the specification and drawings are only institute
The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art the present invention can be carried out it is various change and modification without
Depart from the spirit and scope of the present invention.So, if it is of the invention these modification and modification belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to comprising these changes and modification.
Claims (10)
1. a kind of method for processing video frequency, it is characterised in that including：
Obtain images to be recognized；
Obtain multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；
The images to be recognized is compared with described multiple video images；
When at least one video image in the images to be recognized with described multiple video images is compared successfully, sent out to user
Send warning information.
2. method according to claim 1, it is characterised in that obtain at least one shooting in the range of current deploying to ensure effective monitoring and control of illegal activities described
After multiple video images that head shoots, and the images to be recognized is compared with described multiple video images described
Before, methods described also includes：
Image quality evaluation is carried out to described multiple video images, the multiple image quality evaluation values are obtained；
Choose in the multiple image quality evaluation values more than corresponding multiple video images of predetermined quality threshold.
3. method according to claim 1, it is characterised in that described by the images to be recognized and described multiple video figures
As comparing, including：
Feature extraction is carried out to the images to be recognized, M fisrt feature is obtained；
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i is described multiple video figures
Any video image as in；
Whether the similarity between the M fisrt feature and N number of second feature is judged more than predetermined threshold value, in the M
When similarity between individual fisrt feature and N number of second feature is more than the predetermined threshold value, the images to be recognized is confirmed
Compared successfully with the video image i.
4. method according to claim 1, it is characterised in that described to be sent a warning message to user, including：
It is determined that camera position corresponding with each video image at least one video image；
Determine the corresponding administrative staff of the corresponding camera position of each video image；
To the corresponding video image of each corresponding corresponding administrative staff's transmission of camera position of video image.
5. the method according to any one of Claims 1-4, it is characterised in that send a warning message it to user described
Afterwards, methods described also includes：
At least one video image described in preserving, and at least one attribute information of video image described in record, the attribute letter
Breath includes following at least one information：
Character features category in the shooting time of video image, the position of video image, the numbering and video image of video image
Property.
6. a kind of video process apparatus, it is characterised in that including:
First acquisition unit, for obtaining images to be recognized；
Second acquisition unit, for obtaining multiple video images that at least one camera shoots in the range of current deploying to ensure effective monitoring and control of illegal activities；
Comparing unit, for the images to be recognized to be compared with described multiple video images；
Alarm Unit, compares into at least one video image in the images to be recognized with described multiple video images
During work(, sent a warning message to user.
7. video process apparatus according to claim 6, it is characterised in that the video process apparatus also include：
Evaluation unit is more in the second acquisition unit, obtain that at least one camera in the range of current deploying to ensure effective monitoring and control of illegal activities shoots
Open after video image, image quality evaluation is carried out to described multiple video images, obtain the multiple image quality evaluation values；
Unit is chosen, for choosing in the multiple image quality evaluation values more than corresponding multiple the video figures of predetermined quality threshold
Picture, is performed by the comparing unit and the images to be recognized is compared with described multiple video images.
8. video process apparatus according to claim 6, it is characterised in that the comparing unit includes：
Extraction module, for carrying out feature extraction to the images to be recognized, obtains M fisrt feature；
The extraction module, also particularly useful for：
Feature extraction is carried out to the video image i, N number of second feature is obtained, the video image i is described multiple video figures
Any video image as in；
Judge module, for judging the similarity between the M fisrt feature and N number of second feature whether more than default
Threshold value, is big similarity between the M fisrt feature and N number of second feature in the judged result of the judge module
When the predetermined threshold value, confirm that the images to be recognized is compared successfully with the video image i.
9. video process apparatus according to claim 6, it is characterised in that the Alarm Unit includes：
Determining module, for determining camera position corresponding with each video image at least one video image；
The determining module, also particularly useful for determining the corresponding custodian of the corresponding camera position of each video image
Member；
Sending module, corresponds to therewith for being sent to the corresponding administrative staff of the corresponding camera position of each video image
Video image.
10. video process apparatus according to any one of claim 6 to 9, it is characterised in that the video process apparatus are also
Including：
Storage unit, after being sent a warning message to user in the Alarm Unit, at least one video figure described in preservation
Picture, and at least one attribute information of video image described in record, the attribute information include following at least one information：
Character features category in the shooting time of video image, the position of video image, the numbering and video image of video image
Property.
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