CN106791655B - 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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- CN106791655B CN106791655B CN201611210665.0A CN201611210665A CN106791655B CN 106791655 B CN106791655 B CN 106791655B CN 201611210665 A CN201611210665 A CN 201611210665A CN 106791655 B CN106791655 B CN 106791655B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/48—Matching video sequences
Abstract
An embodiment of the present invention provides a kind of method for processing video frequency and device, the method includes：Obtain images to be recognized；Obtain multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities；The images to be recognized is compared with multiple described video images；When an at least video image in the images to be recognized and multiple described video images compares successfully, send a warning message to user.Target person can be quickly found through the embodiment of the present invention, and is sent a warning message in time to user.
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 accelerating urbanization process, and the challenge of bigger is also brought for city management, although,
Video monitoring provides technical support to urban safety, and still, at present, camera is laid out in city and comes, respectively
The function of a camera is more independent, when needing to search for some target person, often by manual type to each camera shooting
Head shooting video image checked frame by frame, thus, can not quickly find target person, it is even more impossible to timely to user transmission
Warning information.
Invention content
An embodiment of the present invention provides a kind of method for processing video frequency and devices, to quickly find target person, and in time
It sends a warning message to user.
First aspect of the embodiment of the present invention provides a kind of method for processing video frequency, including：
Obtain images to be recognized；
Obtain multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities；
The images to be recognized is compared with multiple described video images；
When an at least video image in the images to be recognized and multiple described video images compares successfully, Xiang Yong
Family sends a warning message.
It is described described in conjunction with the embodiment of the present invention in a first aspect, in the first possible embodiment of first aspect
Obtain and currently deploy to ensure effective monitoring and control of illegal activities in range after multiple video images of at least one camera shooting, and it is described will be described to be identified
Before image is compared with multiple described video images, the method further includes：
Image quality evaluation is carried out to multiple described video images, obtains described multiple images quality evaluation value；
It chooses and is more than multiple corresponding video images of predetermined quality threshold in described multiple images quality evaluation value.
In conjunction with the embodiment of the present invention in a first aspect, in second of possible embodiment of first aspect, it is described will be described
Images to be recognized is compared with multiple described video images, including：
Feature extraction is carried out to the images to be recognized, obtains M fisrt feature；
Feature extraction is carried out to the video image i, obtains N number of second feature, the video image i be it is described multiple regard
Any video image in frequency image；
Judge whether the similarity between the M fisrt feature and N number of second feature is 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 comparing success with the video image i.
It is described to user in conjunction with the embodiment of the present invention in a first aspect, in the third possible embodiment of first aspect
It sends a warning message, including：
Determine camera position corresponding with each video image in an at least 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.
In conjunction with the first of first aspect of the embodiment of the present invention or first aspect to any possible embodiment in the third,
In the 4th kind of possible embodiment of first aspect, it is described send a warning message to user after, the method further includes：
An at least video image described in preserving, and the attribute information of at least one video image described in record, the category
Property information include following at least one information：
The shooting time of video image, the position of video image, video image number and video image in personage it is special
Levy attribute.
Second aspect of the embodiment of the present invention provides a kind of video process apparatus, including：
First acquisition unit, for obtaining images to be recognized；
Second acquisition unit, multiple video images for obtaining at least one camera shooting in current range of deploying to ensure effective monitoring and control of illegal activities；
Comparing unit, for the images to be recognized to be compared with multiple described video images；
Alarm Unit, for at least video image ratio in the images to be recognized and multiple described video images
When to success, send a warning message to user.
In conjunction with second aspect of the embodiment of the present invention, in the first possible embodiment of second aspect, at the video
Managing device further includes：
Evaluation unit, in the second acquisition unit, obtaining at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities
Multiple video images after, to multiple described video images carry out image quality evaluation, obtain described multiple images quality and comment
Value；
Selection unit, for choose in described multiple images quality evaluation value be more than predetermined quality threshold it is corresponding multiple regard
Frequency image is executed by the comparing unit and the images to be recognized is compared with multiple described video images.
In conjunction with second aspect of the embodiment of the present invention, in second of possible embodiment of second aspect, the comparison is single
Member includes：
Extraction module obtains M fisrt feature for carrying out feature extraction to the images to be recognized；
The extraction module, also particularly useful for：
Feature extraction is carried out to the video image i, obtains N number of second feature, the video image i be it is described multiple regard
Any video image in frequency image；
Judgment module, for judging whether the similarity between the M fisrt feature and N number of second feature is more than
Predetermined threshold value, it is similar between the M fisrt feature and N number of second feature in the judging result of the judgment module
When degree is more than the predetermined threshold value, confirm that the images to be recognized compares success with the video image i.
In conjunction with second aspect of the embodiment of the present invention, in the third possible embodiment of second aspect, the alarm is single
Member includes：
Determining module, for determining camera position corresponding with each video image in an at least video image
It sets；
The determining module, also particularly useful for the corresponding management of the corresponding camera position of determination 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.
In conjunction with the first of second aspect of the embodiment of the present invention or second aspect to any possible embodiment in the third,
In the 4th kind of possible embodiment of second aspect, which is characterized in that the video process apparatus further includes：
Storage unit, after sending a warning message to user in the Alarm Unit, at least one regards described in preservation
Frequency image, and the attribute information of at least one video image described in record, the attribute information include following at least one information：
The shooting time of video image, the position of video image, video image number and video image in personage it is special
Levy attribute.
Implement the embodiment of the present invention, has the advantages that：
As can be seen that through the embodiment of the present invention, obtaining images to be recognized, at least one in range of currently deploying to ensure effective monitoring and control of illegal activities take the photograph is obtained
As multiple video images that head is shot, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
It when an at least video image in multiple video images is compared successfully, sends a warning message to user, in this way, can look in time
To target, and send a warning message in time to user.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of first embodiment flow diagram of method for processing video frequency provided in an embodiment of the present invention；
Fig. 2 is a kind of second embodiment flow diagram of method for processing video frequency provided in an embodiment of the present invention；
Fig. 3 a are a kind of first embodiment structural schematic diagrams of video process apparatus provided in an embodiment of the present invention；
Fig. 3 b are the another structural schematic diagrams of video process apparatus described in Fig. 3 a provided in an embodiment of the present invention；
Fig. 3 c are the structural representations of the comparing unit of video process apparatus described in Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 d are the structural representations of the Alarm Unit of video process apparatus described in Fig. 3 a provided in an embodiment of the present invention
Figure；
Fig. 3 e are the another structural schematic diagrams of video process apparatus described in Fig. 3 a provided in an embodiment of the present invention；
Fig. 4 is a kind of second embodiment structural schematic diagram of video process apparatus provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
Term " first ", " second ", " third " in description and claims of this specification and the attached drawing and "
Four " etc. be for distinguishing different objects, rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but further include the steps that optionally not listing or list
Member, or further include optionally for the intrinsic other steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap 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 be each meant
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 may include smart mobile phone (such as Android phone, iOS mobile phones,
Windows Phone mobile phones etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile
Internet Devices) or Wearable etc., above-mentioned is only citing, and non exhaustive, including but not limited to above-mentioned 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 connect with multiple cameras, each camera shooting
Head is used equally for capturing video image, each camera can there are one corresponding position mark, alternatively, can there are one with
Corresponding number.Under normal conditions, 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 taking video image, the memory of system where which can be saved in video process apparatus.It can in memory
It is stored with multiple images library, each image library may include the different video image of same people, and certainly, each image library can also be used
In the video image in one region of storage or the video image of some specified camera shooting.
Still optionally further, in the embodiment of the present invention, each frame video image of camera shooting corresponds to an attribute
Information, attribute information are following at least one：The shooting time of video image, the position of video image, video image attribute
Character features attribute in parameter (format, size, resolution ratio etc.), the number 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 acquisition is usually dynamic human face image, thus, this
The angle information of personage's angle of facial image can be planned in inventive embodiments, the angle information of above-mentioned personage's angle
It may include but be not limited only to：Horizontally rotate angle, pitch angle or gradient.It is wanted for example, can define dynamic human face image data
Two spacing are asked to be not less than 30 pixels, it is proposed that more than 60 pixels.Horizontally rotate angle no more than ± 30 °, pitch angle be no more than ±
20 °, inclination angle be no more than ± 45 °.Recommended levels rotational angle be no more than ± 15 °, pitch angle be no more than ± 10 °, inclination angle not
More than ± 15 °.For example, can also be screened to whether facial image is blocked by other objects, it is generally the case that jewelry should not hide
Keep off face's main region, such as dark sunglasses of jewelry, mask and exaggeration jewellery, it is of course also possible to be covered with ash above camera
Dirt causes facial image to be blocked.The picture format of video image in the embodiment of the present invention may include but be not limited only to：BMP,
JPEG, JPEG2000, PNG etc., size can be between 10-30KB, and each video image can also correspond to a shooting
Time and shoot the camera Unified number of the video image, panorama big figure corresponding with facial image such as links at the information
(facial image and global image establish feature correspondence relational file).
Referring to Fig. 1, being a kind of first embodiment flow diagram of method for processing video frequency provided in an embodiment of the present invention.
Method for processing video frequency described in the present embodiment, includes the following steps：
101, images to be recognized is obtained.
Wherein, any image that images to be recognized can be shot by camera.Certainly, images to be recognized may also be multiple figures
Picture.Above-mentioned images to be recognized can also be at least image in any image library.Certainly, above-mentioned images to be recognized can be packet
Image containing some personage, some 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 are looked up, overlook etc..
Still optionally further, can also include other targets for specifying of user in images to be recognized, for example, automobile, car plate,
Alarm action can be completed according to similar mode of the embodiment of the present invention.
Optionally, in above-mentioned steps 101, images to be recognized is obtained, can also be realized as follows：Obtain target figure
As library, any image is chosen from the target image library as images to be recognized.In this way, can will be in current a certain image library
Image is as object of deploying to ensure effective monitoring and control of illegal activities.
102, multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities are obtained.
Wherein, above-mentioned current range 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
It encloses, certainly, as above-mentioned known, for each camera during monitoring, coverage can be used as a small range of deploying to ensure effective monitoring and control of illegal activities,
Current range of deploying to ensure effective monitoring and control of illegal activities is constituted by the monitoring range of multiple cameras.Certainly, video process apparatus can also select system where it
The monitoring range of part camera in system is as range of currently deploying to ensure effective monitoring and control of illegal activities, in this way, can obtain at least one in current range of deploying to ensure effective monitoring and control of illegal activities
Multiple video images of camera shooting, since each camera can acquire image according to fixed frame per second, thus, it can be obtained more
Open video image.
103, the images to be recognized is compared with multiple described video images.
Optionally, in above-mentioned steps 103, the images to be recognized is compared with multiple described video images, can be wrapped
Include following steps：
31) feature extraction, is carried out to the images to be recognized, obtains M fisrt feature；
32) feature extraction, is carried out to the video image i, obtains N number of second feature, the video image i is described more
Open any video image in video image；
33), judge whether the similarity between the M fisrt feature and N number of second feature is 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 knowing described in confirmation
Other image compares success with the video image i.
Wherein, feature extraction being carried out to images to be recognized in step 31, M fisrt feature can be obtained, which is just whole
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 carried out using grader, grader may include
But it is not limited only to：Support vector machines (Support Vector Machine, SVM), convolutional neural networks, cascade neural network,
Genetic algorithm etc..Feature extraction is carried out to any video image in multiple video images this manner it is also possible to realize, with video
For image i, wherein video image i is any of the multiple video image, N number of second feature can be obtained, N is
It is right that structural similarity (Structural Similarity Index Measurement, SSIM) can be used in turn in positive integer
The feature that the two obtains is compared.Above-mentioned predetermined threshold value can be voluntarily arranged by system default or user.Thus, it can determine whether
State whether similarity between M fisrt feature and above-mentioned N number of second feature is 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 compares success with video image i.According to upper
Alignments are stated, images to be recognized can be compared with each video image in multiple above-mentioned video images, compared successfully,
It can send a warning message to user.
104, when at least video image in the images to be recognized and multiple described video images compares successfully,
It sends a warning message to user.
Wherein, when at least video image in images to be recognized and multiple video images compares successfully, to user
It sends 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.
Optionally, when all video images in images to be recognized and multiple video images compare unsuccessfully, then under obtaining
The video image at a moment, and continue to complete comparison according to above-mentioned steps.
Optionally, it in above-mentioned steps 104, sends a warning message to user, it may include following steps：
41) camera position corresponding with each video image in an at least video image, is determined；
42) the corresponding administrative staff of the corresponding camera position of each video image, are determined；
43), corresponding regard is sent to the corresponding administrative staff of the corresponding camera position of each video image
Frequency image.
Wherein, each video image is there are one image sources, that is, it is which camera has taken this image, in this way,
It can be quickly found out the corresponding camera number of video image, in turn, the position of the camera can be further determined that, in this way, can look for
To the camera region administrative staff (it is of course also possible to include Security Personnel, patrol personnel or police), thus,
After the administrative staff that the corresponding camera position region of each video image is determined, it can be sent out to this part administrative staff
It send with to corresponding video image, can also send a warning message, it is of course also possible to inform administrative staff, be wrapped in video image
The face position contained, and in the position mark indoors map, will can then cook up the administrative staff and the face it
Between navigation routine.
For example, video process apparatus is the server of the safety-protection system of some section, then, which may be regarded as a cloth
Control range, images to be recognized can be the image comprising target, the candid photograph image of the section can be obtained in real time, by images to be recognized with
It captures image to be compared, when comparing successfully, can send a warning message to Security Personnel or administrator, in this way, can be quick
Target is found, and alarm is provided in time.
Optionally, 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 multiple described video images, obtains described multiple images quality evaluation value；
B it), chooses and is more than multiple corresponding video images of predetermined quality threshold in described multiple images quality evaluation value.
Wherein, in step, quality evaluation can be carried out to multiple video images, to which it is blurred image to filter out some
How video image chooses high-quality image, needs to carry out image quality evaluation from image.It is above-mentioned how from multiple images
Choose best one of picture quality.At least one image quality evaluation index can be used respectively to comment image progress picture quality
Valence 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 are bigger, then picture quality is better.
It should be noted that when due to being evaluated picture quality using single evaluation index, there is certain limitation
Property, therefore, multiple images quality evaluation index, which can be used, evaluates picture quality, certainly, evaluates picture quality
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
Calculation complexity is higher, and also not necessarily image quality evaluation effect is better, therefore, in the situation more demanding to image quality evaluation
Under, 2~10 image quality evaluation indexs can be used, picture quality is evaluated.Specifically, image quality evaluation is chosen to refer to
Target number and which index, depending on specific implementation situation.Certainly, it also obtains and is commented in conjunction with specifically scene selection picture quality
Valence index carries out the image quality index that image quality evaluation selection is carried out under image quality evaluation and bright ring border under dark situation
It can be different.
Optionally, in the case of not high to image quality evaluation required precision, an image quality evaluation index can be used
It is evaluated, for example, carrying out image quality evaluation values to pending image with entropy, it is believed that entropy is bigger, then illustrates picture quality
It is better, on the contrary, entropy is smaller, then illustrate that picture quality is poorer.
Optionally, in the case that higher to image quality evaluation required precision, multiple images quality evaluation may be used
Index evaluates 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 multiple image quality evaluation index can be set, multiple images matter can be obtained
Evaluation of estimate is measured, final image quality evaluation values, example can be obtained according to multiple image quality evaluation values and its corresponding weight
Such as, three image quality evaluation indexs are respectively：The weight of A indexs, B indexs and C indexs, A is a1, and the weight of B is a2, C's
Weight is a3, using A, B and C to a certain image carry out image quality evaluation when, the corresponding image quality evaluation values of A be b1, B pairs
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 conditions, image quality evaluation values are bigger, illustrate that picture quality is better.
As can be seen that through the embodiment of the present invention, obtaining images to be recognized, at least one in range of currently deploying to ensure effective monitoring and control of illegal activities take the photograph is obtained
As multiple video images that head is shot, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
It when an at least video image in multiple video images is compared successfully, sends a warning message to user, in this way, can look in time
To target, and send a warning message in time to user.
Consistent with the abovely, referring to Fig. 2, for a kind of second implementation of method for processing video frequency provided in an embodiment of the present invention
Example flow diagram.Method for processing video frequency described in the present embodiment, includes the following steps：
201, images to be recognized is obtained.
202, multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities are obtained.
203, the images to be recognized is compared with multiple described video images.
204, when at least video image in the images to be recognized and multiple described video images compares successfully,
It sends a warning message to user.
Optionally, the specific descriptions of above-mentioned steps 201- steps 204 can be found in the step of method for processing video frequency described in Fig. 1
Rapid 101- steps 104.
205, an at least video image described in preserving, and the attribute information of at least one video image described in record.
Optionally, an above-mentioned at least video image is can save, it is of course also possible to obtain in an at least video image
The attribute information of each video image, and record the attribute information.
Optionally, above-mentioned attribute information may include following but be not limited only to：The shooting time of video image, video image
Position, video image number and video image in character features attribute.
Optionally, in above-mentioned steps 205, when preserving an at least video image, 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 shooting when
Between it is more next, the memory space of memory can be smaller and smaller, 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 as 30 days, then, after preserving the video image, reaches 30 days, can destroy
The video image.
Optionally, it after above-mentioned steps 205, can also comprise the following steps：
Export instruction is received, export format is carried in the export instruction；
According to the attribute information for stating at least one video image described in the export format export, obtain and the export lattice
The corresponding file of formula.
Wherein, above-mentioned export format may include but be not limited only to：Word formats, excel formats, PDF format, etc..?
After obtaining an above-mentioned at least video image, export instruction can be inputted, certainly, export format can be carried in export instruction, lead
The attribute information for going out at least one video image obtains a file corresponding with export format.In this way, user can will be above-mentioned
The attribute information export of at least one video image comes, and on the one hand user can be convenient for consult, on the other hand, also allow for printing.
Still optionally further, it after above-mentioned steps 205, can also comprise the following steps：
Export instruction is received, carrying ExportRange in the export instruction indicates information；
According to the attribute information for stating at least one video image described in ExportRange instruction information, obtain leading with described
Go out the corresponding file of range instruction information.
Wherein, above-mentioned ExportRange instruction information can be some period that user specifies, alternatively, user specify some
Camera, alternatively, some region, etc. of deploying to ensure effective monitoring and control of illegal activities that user specifies.
As can be seen that through the embodiment of the present invention, obtaining images to be recognized, at least one in range of currently deploying to ensure effective monitoring and control of illegal activities take the photograph is obtained
As multiple video images that head is shot, by the images to be recognized and this, multiple video images are compared, in images to be recognized and
It when an at least video image in multiple video images is compared successfully, sends a warning message to user, in this way, can look in time
To target, and send a warning message in time to user.
Consistent with the abovely, specific as follows below to implement the device of above-mentioned method for processing video frequency：
Fig. 3 a are please referred to, are 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, compares list at second acquisition unit 302
Member 303 and Alarm Unit 304, it is specific as follows：
First acquisition unit 301, for obtaining images to be recognized；
Second acquisition unit 302, multiple video figures for obtaining at least one camera shooting in current range of deploying to ensure effective monitoring and control of illegal activities
Picture；
Comparing unit 303, for the images to be recognized to be compared with multiple described video images；
Alarm Unit 304, for at least video figure in the images to be recognized and multiple described video images
As when comparing successfully, sending a warning message to user.
Optionally, such as Fig. 3 b, Fig. 3 b are the another modification structures of the video process apparatus described in Fig. 3 a, can also be wrapped
It includes：It is specific as follows：
Evaluation unit 305, in the second acquisition unit 302, obtaining at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities
After multiple video images of head shooting, image quality evaluation is carried out to multiple described video images, obtains described multiple images
Quality evaluation value；
Selection unit 306 is corresponding more more than predetermined quality threshold in described multiple images quality evaluation value for choosing
Video image is opened, is executed by the comparing unit 303 and the images to be recognized is compared with multiple described video images.
Optionally, if Fig. 3 c, Fig. 3 c are the specific refinement of the comparing unit 303 of the video process apparatus described in Fig. 3 a
Structure, the comparing unit 303 may include：Extraction module 3031 and judgment module 3032, it is specific as follows：
Extraction module 3031 obtains M fisrt feature for carrying out feature extraction to the images to be recognized；
The extraction module 3031, also particularly useful for：
Feature extraction is carried out to the video image i, obtains N number of second feature, the video image i be it is described multiple regard
Any video image in frequency image；
Judgment module 3032, for whether judging the similarity between the M fisrt feature and N number of second feature
More than predetermined threshold value, the judging result of the judgment module 3032 be 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 and the video image i compare success.
Optionally, if Fig. 3 d, Fig. 3 d are the specific refinement of the Alarm Unit 304 of the video process apparatus 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 in an at least video image
Position；
The determining module 3041, it is corresponding also particularly useful for the corresponding camera position of determination each video image
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.
Optionally, such as Fig. 3 e, Fig. 3 e are the another modification structures of the video process apparatus described in Fig. 3 a, can also be wrapped
It includes：Storage unit 307, it is specific as follows：
Storage unit 307, after sending a warning message to user in the Alarm Unit, at least one described in preservation
Video image, and the attribute information of at least one video image described in record, the attribute information include following at least one letter
Breath：
The shooting time of video image, the position of video image, video image number and video image in personage it is special
Levy attribute.
As can be seen that video process apparatus described in through the embodiment of the present invention, can obtain images to be recognized, acquisition is worked as
Before deploy to ensure effective monitoring and control of illegal activities multiple video images of at least one camera shooting in range, by the images to be recognized and multiple video images into
Row compares, and when at least video image in images to be recognized and multiple video images compares 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, referring to Fig. 4, for a kind of second implementation of video process apparatus provided in an embodiment of the present invention
Example structural schematic diagram.Video process apparatus described in the present embodiment, including：At least one input equipment 1000；At least one
A 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 touch 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
), such as magnetic disk storage memory.Above-mentioned memory 4000 is above-mentioned input equipment 1000, defeated for storing batch processing code
Go out equipment 2000 and processor 3000 for calling the program code stored in memory 4000, executes following operation：
Above-mentioned processor 3000, is used for：
Obtain images to be recognized；
Obtain multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities；
The images to be recognized is compared with multiple described video images；
When an at least video image in the images to be recognized and multiple described video images compares successfully, Xiang Yong
Family sends a warning message.
Optionally, above-mentioned processor 3000 obtains images to be recognized, including：
It obtains multiple and uploads image, multiple described upload images are the different images of same people；
Image quality evaluation is carried out to multiple described upload images, obtains described multiple images quality evaluation value；
The corresponding upload image of maximum value in described multiple images quality evaluation value is chosen as the images to be recognized.
Optionally, the images to be recognized is compared above-mentioned processor 3000 with multiple described video images, including：
Feature extraction is carried out to the images to be recognized, obtains M fisrt feature；
Feature extraction is carried out to the video image i, obtains N number of second feature, the video image i be it is described multiple regard
Any video image in frequency image；
Judge whether the similarity between the M fisrt feature and N number of second feature is 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 comparing success with the video image i.
Optionally, above-mentioned processor 3000 sends a warning message to user, including：
Determine camera position corresponding with each video image in an at least 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.
Optionally, above-mentioned processor 3000, it is described send a warning message to user after, also particularly useful for：
An at least video image described in preserving, and the attribute information of at least one video image described in record, the category
Property information include following at least one information：
The shooting time of video image, the position of video image, video image number and video image in personage it is special
Levy attribute.
The embodiment of the present invention also provides a kind of computer storage media, wherein the computer storage media can be stored with journey
Sequence, the program include some or all of any type method for processing video frequency described in above method embodiment step when executing
Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the claimed invention
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Claim may be implemented in single processor or other units
In several functions enumerating.Mutually different has been recited in mutually different dependent certain measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that the embodiment of the present invention can be provided as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the present invention
The form of embodiment.Moreover, the present invention can be used in one or more wherein include computer usable program code calculating
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 can also use other distribution forms, such as pass through the wired or wireless telecommunication systems of Internet or other.
The present invention be with reference to the embodiment of the present invention method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that each flow that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the flow and/or box in box and flowchart and/or the block diagram.These computer program instructions can be provided
To all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor to generate one
A machine so that by the instruction that computer or the processor of other programmable data processing devices execute generate for realizing
The device for the function of being specified in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed 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 a box or multiple boxes.
Although in conjunction with 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, it can be carry out various modifications and is combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration for the present invention that attached claim is defined, and be considered as covered in the scope of the invention arbitrary and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art various changes and modifications can be made to the invention without
It is detached from the spirit and scope of the present invention.If in this way, these modifications and changes of the present invention belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to include these modifications and variations.
Claims (4)
1. a kind of method for processing video frequency, which is characterized in that including：
Obtain images to be recognized；
Obtain multiple video images of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities；
Image quality evaluation is carried out to multiple described video images, obtains multiple images quality evaluation value；
It chooses and is more than multiple corresponding video images of predetermined quality threshold in described multiple images quality evaluation value；
Image quality evaluation values=a1b1+a2b2+a3b3；
Wherein, 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
The weight of a2, C are a3, and the corresponding image quality evaluation values of A are b1, and the corresponding image quality evaluation values of B are b2, the corresponding figures of C
Image quality amount evaluation of estimate is b3；The images to be recognized is compared with multiple described video images；
When an at least video image in the images to be recognized and multiple described video images compares successfully, sent out to user
Send warning information；
It is described to send a warning message to user, including：
Determine camera position corresponding with each video image in an at least 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；
Inform administrative staff, then the face position for including in video image is advised in the position mark indoors map
Mark the navigation routine between the administrative staff and the face；
It is described send a warning message to user after, the method further includes：
An at least video image described in preserving, and the attribute information of at least one video image described in record, the attribute letter
Breath includes following at least one information：
The shooting time of video image, the position of video image, video image number and video image in character features category
Property；
The character features attribute includes：Personage's number, character positions, personage's angle in video image；
The angle information of personage's angle includes：Horizontally rotate angle, pitch angle or inclination angle, it is described to horizontally rotate angle
Degree is no more than ± 45 ° no more than ± 30 °, the pitch angle no more than ± 20 °, the inclination angle.
2. according to the method described in claim 1, it is characterized in that, described by the images to be recognized and multiple described video figures
Picture is compared, including：
Feature extraction is carried out to the images to be recognized, obtains M fisrt feature；
Feature extraction is carried out to video image i, obtains N number of second feature, the video image i is in multiple described video images
Any video image；
Judge whether the similarity between the M fisrt feature and N number of second feature is more than predetermined threshold value, in the M
When similarity between a fisrt feature and N number of second feature is more than the predetermined threshold value, the images to be recognized is confirmed
Success is compared with the video image i.
3. a kind of video process apparatus, which is characterized in that including:
First acquisition unit, for obtaining images to be recognized；
Second acquisition unit, multiple video images for obtaining at least one camera shooting in current range of deploying to ensure effective monitoring and control of illegal activities；
Evaluation unit, in the second acquisition unit, obtaining the more of at least one camera shooting in range of currently deploying to ensure effective monitoring and control of illegal activities
After opening video image, image quality evaluation is carried out to multiple described video images, obtains multiple images quality evaluation value；
Selection unit is more than multiple corresponding video figures of predetermined quality threshold for choosing in described multiple images quality evaluation value
Picture；
Image quality evaluation values=a1b1+a2b2+a3b3；
Wherein, 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
The weight of a2, C are a3, and the corresponding image quality evaluation values of A are b1, and the corresponding image quality evaluation values of B are b2, the corresponding figures of C
Image quality amount evaluation of estimate is b3；
Comparing unit, for the images to be recognized to be compared with multiple described video images；
Alarm Unit is compared into for at least video image in the images to be recognized and multiple described video images
When work(, send a warning message to user；
The Alarm Unit includes：
Determining module, for determining camera position corresponding with each video image in an at least video image；
The determining module, also particularly useful for the corresponding administrator of the corresponding camera position of determination each video image
Member；
Sending module is corresponding to it for being sent to the corresponding administrative staff of the corresponding camera position of each video image
Video image；
Described device, for informing administrative staff, the face position for including in video image, indoors by the position mark
In map, the navigation routine between the administrative staff and the face is then cooked up；
The video process apparatus further includes：
Storage unit, after sending a warning message to user in the Alarm Unit, an at least video figure described in preservation
Picture, and the attribute information of at least one video image described in record, the attribute information include following at least one information：
The shooting time of video image, the position of video image, video image number and video image in character features category
Property；
The character features attribute includes：Personage's number, character positions, personage's angle in video image；
The angle information of personage's angle includes：Horizontally rotate angle, pitch angle or inclination angle, it is described to horizontally rotate angle
Degree is no more than ± 45 ° no more than ± 30 °, the pitch angle no more than ± 20 °, the inclination angle.
4. video process apparatus according to claim 3, which is characterized in that the comparing unit includes：
Extraction module obtains M fisrt feature for carrying out feature extraction to the images to be recognized；
The extraction module, also particularly useful for：
Feature extraction is carried out to video image i, obtains N number of second feature, the video image i is in multiple described video images
Any video image；
Judgment module, for judging it is default whether the similarity between the M fisrt feature and N number of second feature is more than
Threshold value is big in similarity of the judging result between the M fisrt feature and N number of second feature of the judgment module
When the predetermined threshold value, confirm that the images to be recognized compares success with the video image i.
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| US20190057589A1 (en) * | 2017-08-18 | 2019-02-21 | Honeywell International Inc. | Cloud based systems and methods for locating a peace breaker |
| CN109766736A (en) * | 2017-11-09 | 2019-05-17 | 中国电信股份有限公司 | Face identification method, device and system |
| CN108229323A (en) * | 2017-11-30 | 2018-06-29 | 深圳市商汤科技有限公司 | Supervision method and device, electronic equipment, computer storage media |
| CN108133718B (en) * | 2017-12-13 | 2021-04-06 | 北京奇虎科技有限公司 | Method and device for processing video |
| CN109934078B (en) * | 2017-12-19 | 2021-04-20 | 浙江宇视科技有限公司 | Image processing method and device and electronic equipment |
| CN109741224A (en) * | 2018-12-26 | 2019-05-10 | 深圳市天彦通信股份有限公司 | Supervision method and Related product |
| CN111553915A (en) * | 2020-05-08 | 2020-08-18 | 深圳前海微众银行股份有限公司 | Article identification detection method, device, equipment and readable storage medium |
| CN112287830A (en) * | 2020-10-29 | 2021-01-29 | 泰康保险集团股份有限公司 | Image detection method and device |
| CN112887665B (en) * | 2020-12-30 | 2023-07-18 | 重庆邮电大学移通学院 | Video image processing method and related device |
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| KR101458136B1 (en) * | 2014-02-28 | 2014-11-05 | 김호 | Video processing method, video processing server performing the same, monitoring server performing the same, system performing the same and storage medium storing the same |
| CN104270619B (en) * | 2014-10-22 | 2018-05-18 | 中国建设银行股份有限公司 | A kind of security alarm method and device |
| CN104850771B (en) * | 2015-04-30 | 2018-11-16 | 广东欧珀移动通信有限公司 | A kind of indentity identifying method and relevant device |
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| CN105631430A (en) * | 2015-12-30 | 2016-06-01 | 浙江宇视科技有限公司 | Matching method and apparatus for face image |
| CN106056035A (en) * | 2016-04-06 | 2016-10-26 | 南京华捷艾米软件科技有限公司 | Motion-sensing technology based kindergarten intelligent monitoring method |
| CN105913559B (en) * | 2016-04-06 | 2019-03-05 | 南京华捷艾米软件科技有限公司 | A kind of ATM in bank intelligent control method based on body-sensing technology |
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