CN111126289A - Method and system for acquiring portrait based on thread control - Google Patents
Method and system for acquiring portrait based on thread control Download PDFInfo
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- CN111126289A CN111126289A CN201911356313.XA CN201911356313A CN111126289A CN 111126289 A CN111126289 A CN 111126289A CN 201911356313 A CN201911356313 A CN 201911356313A CN 111126289 A CN111126289 A CN 111126289A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- Theoretical Computer Science (AREA)
- Processing Or Creating Images (AREA)
- Image Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a method and a system for acquiring a portrait based on thread control, wherein the method comprises the following steps: acquiring and obtaining an image in a detection area through image acquisition equipment; carrying out portrait recognition on the image, and determining one or more portraits in the image; acquiring one or more identified human images in the image, and if the acquisition is successful, acquiring human image pictures corresponding to the one or more human images; uploading the one or more portrait pictures to a background server, judging whether each portrait picture meets the requirement, and if so, storing the portrait picture; the method and the system can simultaneously acquire a plurality of portraits in the acquired image, and can realize the acquisition of the dynamic portraits through the tracking marks.
Description
Technical Field
The invention relates to the field of computers and image processing, in particular to a method and a system for acquiring a portrait based on thread control.
Background
At present, the number of the portrait acquisition devices is large, the portrait acquisition devices are distributed in a service handling hall, and an acquirer arranges the portrait in a marked recognition frame for acquisition according to voice prompt, so that the acquisition flow is simplified. However, the self-service acquisition equipment has strict requirements on acquisition environment, and generally requires that an object stands at a specified position and stays for a period of time at a specified angle for acquiring a portrait; and the system can not acquire the moving acquisition environment and can not simultaneously detect and judge a plurality of human images in the acquisition environment.
Disclosure of Invention
In order to solve the problem that the prior portrait acquisition in the background art cannot simultaneously detect a plurality of portraits and cannot acquire the portraits under the environment of portrait movement, the invention provides a method and a system for acquiring the portraits based on thread control, wherein the method and the system mark the portraits obtained by identification through the thread control and acquire images with the portraits in real time until the portraits are acquired successfully in the images; the method for acquiring the portrait based on the thread control comprises the following steps:
acquiring and obtaining an image in a detection area through image acquisition equipment;
carrying out portrait recognition on the image, and determining one or more portraits in the image;
acquiring one or more identified human images in the image, and if the acquisition is successful, acquiring human image pictures corresponding to the one or more human images;
and uploading the one or more portrait pictures to a background server, judging whether each portrait picture meets the requirement, and if so, storing the portrait picture.
Further, before performing the portrait acquisition on one or more identified portraits in the image, the method further comprises:
tracking each of the one or more portraits;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, extracting the portrait identified in the next frame according to the tracking mark, and performing a new round of portrait acquisition until the acquisition is successful; whether the acquisition is successful or not is determined by determining whether the portrait identified in the image meets a preset acquisition characteristic or characteristics.
Further, if the portrait picture is judged not to meet the requirements, a re-acquisition instruction is sent to the image acquisition equipment, and image acquisition is continued according to the tracking mark corresponding to the portrait picture until the image acquisition is successful;
and if the portrait picture meets the requirements, sending a collection success instruction to the picture collection equipment, and deleting the corresponding tracking mark according to the portrait picture.
Further, obtaining a portrait photo corresponding to the one or more portraits, comprising:
shearing the successfully collected image according to the position of the portrait in the image through a preset size to obtain an initial portrait picture;
preprocessing the initial portrait image according to a preset rule to obtain a portrait image; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
Further, judging whether each portrait picture meets the requirements or not, including for each portrait picture:
judging whether the portrait picture contains one or more preset characteristics;
judging whether the definition of the portrait picture and the pixel meet the preset requirements or not;
judging whether the size and the dimension of the portrait picture meet preset requirements or not;
and if the judgment is passed, determining that the portrait picture meets the requirement.
Further, according to one or more characteristics contained in the portrait picture, query search is carried out in a database to obtain the figure information corresponding to the portrait picture;
and storing the portrait picture and the personal information in a correlation manner.
The system for acquiring the portrait based on the thread control comprises:
the image acquisition unit is used for acquiring and obtaining images in the detection area through image acquisition equipment;
the portrait recognition unit is used for recognizing the portrait of the image and determining one or more portraits in the image;
the portrait acquisition unit is used for acquiring one or more identified portraits in the image, and acquiring portrait pictures corresponding to the one or more portraits if the acquisition is successful;
the portrait acquisition unit is used for uploading the one or more portrait pictures to a background server;
and the background server is used for judging whether each portrait picture meets the requirements or not, and if so, storing the portrait picture.
Further, the portrait acquisition unit is used for tracking and marking each of the one or more portraits;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, the portrait acquisition unit is used for extracting the portrait identified in the next frame according to the tracking mark and performing a new round of portrait acquisition until the acquisition is successful; the portrait acquisition unit judges whether the acquisition is successful by judging whether the portrait identified in the image meets one or more preset acquisition characteristics.
Further, if the background server judges that the portrait picture does not meet the requirements, a re-acquisition instruction is sent to the portrait acquisition unit, and the portrait acquisition unit continues to acquire the image according to the tracking mark corresponding to the portrait picture until the image is successfully acquired;
and if the background server judges that the portrait picture meets the requirements, sending a successful acquisition instruction to the portrait acquisition unit, and deleting the corresponding tracking mark by the portrait acquisition unit according to the portrait picture.
Further, the portrait acquisition unit is used for shearing the successfully acquired image according to the position of the portrait in the image by a preset size to obtain an initial portrait picture;
the portrait acquisition unit is used for preprocessing the initial portrait image according to a preset rule to obtain a portrait picture; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
Further, the background server is configured to determine whether the portrait picture includes one or more preset features, determine whether the definition and the pixel of the portrait picture meet preset requirements, and determine whether the size and the dimension of the portrait picture meet the preset requirements;
and if the judgment is passed, the background server determines that the portrait picture meets the requirement.
Further, the background server is used for performing query search in a database according to one or more characteristics contained in the portrait picture to obtain the figure information corresponding to the portrait picture;
and the background server stores the portrait picture and the portrait information in an associated manner.
The invention has the beneficial effects that: the technical scheme of the invention provides a method and a system for acquiring a portrait based on thread control, wherein the method and the system track and mark the portrait obtained by identification through the thread control and acquire an image with the portrait in real time until the portrait is successfully acquired in the image; the method and the system can simultaneously acquire a plurality of portraits in the acquired image, and can realize the acquisition of the dynamic portraits through the tracking marks.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flowchart of a method for capturing a portrait based on thread control according to an embodiment of the present invention;
fig. 2 is a structural diagram of a system for acquiring a portrait based on thread control according to an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
FIG. 1 is a flowchart of a method for capturing a portrait based on thread control according to an embodiment of the present invention; as shown in fig. 1, the method includes:
in this embodiment, the image acquisition device includes a plurality of cameras in an area to be detected, and acquires a portrait for a picture acquired by each camera;
the identification of the portrait judges the portrait in the image through the analysis of each frame in the continuous frame image or the analysis of the difference between adjacent frames in the continuous frame image;
and the probability of a one-time acquisition success of a portrait is not one hundred percent, the method further comprising, prior to acquiring a portrait for one or more identified portraits in the image:
tracking each of the one or more portraits; the tracking mark enables the person image in the next frame image to be determined and the position of the person image to be determined without the need of person image recognition;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, extracting the portrait identified in the next frame according to the tracking mark, and performing a new round of portrait acquisition until the acquisition is successful; whether the acquisition is successful or not is determined by determining whether the portrait identified in the image meets a preset acquisition characteristic or characteristics.
Further, shearing the successfully collected images according to the positions of the figures in the images through a preset size to obtain an initial figure picture;
preprocessing the initial portrait image according to a preset rule to obtain a portrait image; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
And 140, uploading the one or more portrait pictures to a background server, judging whether each portrait picture meets the requirement, and if so, storing the portrait picture.
Further, judging whether each portrait picture meets the requirements includes the following judgment of each portrait picture:
judging whether the portrait picture contains one or more preset characteristics;
judging whether the definition of the portrait picture and the pixel meet the preset requirements or not;
judging whether the size and the dimension of the portrait picture meet preset requirements or not;
and if the judgment is passed, determining that the portrait picture meets the requirement.
If the portrait picture is judged not to meet the requirements, sending a re-acquisition instruction to the image acquisition equipment, and continuing to acquire the image according to the tracking mark corresponding to the portrait picture until the image is successfully acquired;
and if the portrait picture meets the requirements, sending a collection success instruction to the picture collection equipment, and deleting the corresponding tracking mark according to the portrait picture.
Further, in this embodiment, according to one or more features included in the portrait picture, query and search are performed in a database to obtain the personal information corresponding to the portrait picture;
and storing the portrait picture and the personal information in a correlation manner.
Fig. 2 is a structural diagram of a system for acquiring a portrait based on thread control according to an embodiment of the present invention. As shown in fig. 2, the system includes:
the image acquisition unit 210 is used for acquiring and obtaining images in the detection area through an image acquisition device;
a portrait recognition unit 220, wherein the portrait recognition unit 220 is configured to perform portrait recognition on the image, and determine one or more portraits in the image;
the portrait acquisition unit 230 is configured to perform portrait acquisition on one or more identified portraits in the image, and if the acquisition is successful, obtain a portrait picture corresponding to the one or more portraits;
the portrait acquisition unit 230 is configured to upload the one or more portrait pictures to a background server;
and the background server 240 is used for judging whether each portrait picture meets the requirement, and if so, storing the portrait picture.
Further, the portrait acquisition unit 230 is configured to perform tracking marking on each of the one or more portraits;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, the portrait acquisition unit 230 is configured to extract the portrait identified in the next frame according to the tracking flag, and perform a new round of portrait acquisition until the acquisition is successful; the portrait acquisition unit 230 determines whether acquisition is successful by determining whether the portrait identified in the image satisfies one or more predetermined acquisition characteristics.
Further, if the background server 240 determines that the portrait image does not meet the requirement, a re-acquisition instruction is sent to the portrait acquisition unit 230, and the portrait acquisition unit 230 continues to acquire the image according to the tracking mark corresponding to the portrait image until the acquisition is successful;
if the background server 240 determines that the portrait image meets the requirement, a successful acquisition instruction is sent to the portrait acquisition unit 230, and the portrait acquisition unit 230 deletes the corresponding tracking flag according to the portrait image.
Further, the portrait acquisition unit 230 is configured to cut the image successfully acquired according to the position of the portrait in the image by a preset size, so as to obtain an initial portrait picture;
the portrait acquisition unit 230 is configured to pre-process the initial portrait image according to a preset rule, so as to obtain a portrait picture; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
Further, the background server 240 is configured to determine whether the portrait picture includes one or more preset features, determine whether the definition and the pixel of the portrait picture meet preset requirements, and determine whether the size and the dimension of the portrait picture meet the preset requirements;
if the above judgments are all passed, the background server 240 determines that the portrait picture meets the requirements.
Further, the background server 240 is configured to perform query search in a database according to one or more features included in the portrait picture, and obtain the personal information corresponding to the portrait picture;
the background server 240 stores the portrait picture and the person information in an associated manner.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Reference to step numbers in this specification is only for distinguishing between steps and is not intended to limit the temporal or logical relationship between steps, which includes all possible scenarios unless the context clearly dictates otherwise.
Moreover, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the disclosure and form different embodiments. For example, any of the embodiments claimed in the claims can be used in any combination.
Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. The present disclosure may also be embodied as device or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems may be embodied by one and the same item of hardware.
The foregoing is directed to embodiments of the present disclosure, and it is noted that numerous improvements, modifications, and variations may be made by those skilled in the art without departing from the spirit of the disclosure, and that such improvements, modifications, and variations are considered to be within the scope of the present disclosure.
Claims (12)
1. A method for acquiring a portrait based on thread control, the method comprising:
acquiring and obtaining an image in a detection area through image acquisition equipment;
carrying out portrait recognition on the image, and determining one or more portraits in the image;
acquiring one or more identified human images in the image, and if the acquisition is successful, acquiring human image pictures corresponding to the one or more human images;
and uploading the one or more portrait pictures to a background server, judging whether each portrait picture meets the requirement, and if so, storing the portrait picture.
2. The method of claim 1, wherein prior to the acquiring of one or more identified faces in the image, the method further comprises:
tracking each of the one or more portraits;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, extracting the portrait identified in the next frame according to the tracking mark, and performing a new round of portrait acquisition until the acquisition is successful; whether the acquisition is successful or not is determined by determining whether the portrait identified in the image meets a preset acquisition characteristic or characteristics.
3. The system of claim 2, wherein:
if the portrait picture is judged not to meet the requirements, sending a re-acquisition instruction to the image acquisition equipment, and continuing to acquire the image according to the tracking mark corresponding to the portrait picture until the image is successfully acquired;
and if the portrait picture meets the requirements, sending a collection success instruction to the picture collection equipment, and deleting the corresponding tracking mark according to the portrait picture.
4. The method of claim 1, wherein obtaining a portrait photograph corresponding to the one or more portraits comprises:
shearing the successfully collected image according to the position of the portrait in the image through a preset size to obtain an initial portrait picture;
preprocessing the initial portrait image according to a preset rule to obtain a portrait image; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
5. The method of claim 1, wherein determining whether each portrait picture meets requirements comprises, for each portrait picture:
judging whether the portrait picture contains one or more preset characteristics;
judging whether the definition of the portrait picture and the pixel meet the preset requirements or not;
judging whether the size and the dimension of the portrait picture meet preset requirements or not;
and if the judgment is passed, determining that the portrait picture meets the requirement.
6. The system of claim 5, wherein:
according to one or more characteristics contained in the portrait picture, carrying out query search in a database to obtain the figure information corresponding to the portrait picture;
and storing the portrait picture and the personal information in a correlation manner.
7. A system for capturing a portrait based on thread control, the system comprising:
the image acquisition unit is used for acquiring and obtaining images in the detection area through image acquisition equipment;
the portrait recognition unit is used for recognizing the portrait of the image and determining one or more portraits in the image;
the portrait acquisition unit is used for acquiring one or more identified portraits in the image, and acquiring portrait pictures corresponding to the one or more portraits if the acquisition is successful;
the portrait acquisition unit is used for uploading the one or more portrait pictures to a background server;
and the background server is used for judging whether each portrait picture meets the requirements or not, and if so, storing the portrait picture.
8. The system of claim 7, wherein:
the portrait acquisition unit is used for tracking and marking each of the one or more portraits;
if the acquisition of the portrait in the currently acquired image frame is unsuccessful, the portrait acquisition unit is used for extracting the portrait identified in the next frame according to the tracking mark and performing a new round of portrait acquisition until the acquisition is successful; the portrait acquisition unit judges whether the acquisition is successful by judging whether the portrait identified in the image meets one or more preset acquisition characteristics.
9. The system of claim 8, wherein:
if the background server judges that the portrait picture does not meet the requirements, a re-acquisition instruction is sent to the portrait acquisition unit, and the portrait acquisition unit continues to acquire the image according to the tracking mark corresponding to the portrait picture until the image is successfully acquired;
and if the background server judges that the portrait picture meets the requirements, sending a successful acquisition instruction to the portrait acquisition unit, and deleting the corresponding tracking mark by the portrait acquisition unit according to the portrait picture.
10. The system of claim 7, wherein:
the portrait acquisition unit is used for shearing the successfully acquired image according to the position of the portrait in the image through a preset size to obtain an initial portrait picture;
the portrait acquisition unit is used for preprocessing the initial portrait image according to a preset rule to obtain a portrait picture; the preprocessing comprises gray level adjustment, brightness adjustment, sharpening and compression processing.
11. The system of claim 7, wherein:
the background server is used for judging whether the portrait picture contains one or more preset characteristics, judging whether the definition and the pixel of the portrait picture meet preset requirements, and judging whether the size and the dimension of the portrait picture meet the preset requirements;
and if the judgment is passed, the background server determines that the portrait picture meets the requirement.
12. The system of claim 11, wherein:
the background server is used for inquiring and searching in a database according to one or more characteristics contained in the portrait picture to obtain the figure information corresponding to the portrait picture;
and the background server stores the portrait picture and the portrait information in an associated manner.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911356313.XA CN111126289A (en) | 2019-12-25 | 2019-12-25 | Method and system for acquiring portrait based on thread control |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911356313.XA CN111126289A (en) | 2019-12-25 | 2019-12-25 | Method and system for acquiring portrait based on thread control |
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| CN111126289A true CN111126289A (en) | 2020-05-08 |
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| CN101427263A (en) * | 2006-02-24 | 2009-05-06 | 快图影像有限公司 | Method and apparatus for selective rejection of digital images |
| CN103226694A (en) * | 2013-03-28 | 2013-07-31 | 赵福辉 | Real-time portrait acquiring, comparing and prewarning surveillance system and using method thereof |
| CN105208377A (en) * | 2015-09-14 | 2015-12-30 | 北京奇虎科技有限公司 | Image processing method and device |
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