CN111274889A - Video character recognition method and device and computer-readable storage medium - Google Patents
Video character recognition method and device and computer-readable storage medium Download PDFInfo
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Abstract
The invention discloses a video character recognition method and device and a computer storage medium, wherein the method comprises the following steps: when the face information in the video is detected, judging whether the face is in the outline or not; if the face is not in the contour, extracting the facial features of the person in the video; matching the extracted facial features of the person with a pre-stored personnel information base; if the extracted facial features of the person are matched with the facial features of the person in the person information base, the person in the person information base and the person appearing in the video are judged to be the same person, the identity information of the person is extracted from the person information base, and the person in the video is drawn in a contour mode, wherein the contour at least comprises the head of the person; and binding the identity information of the person with the outline. The video person identification method and device and the computer storage medium can improve the person identification efficiency in the video picture.
Description
Technical Field
The present invention relates to the field of video conferencing technologies, and in particular, to a method and an apparatus for identifying a video character, and a computer-readable storage medium.
Background
In the video conference process, in order to facilitate communication, identification of people in a video conference picture is generally required. In the current video personnel identification method, a face identification function is mainly used for identifying the face in a video picture in real time.
The inventor finds that, in order to successfully perform face recognition, the video person recognition method needs to acquire enough face front information, the face front information cannot be recognized if the face front information is not enough, so that the recognition efficiency is low, and persons in the video generally do not keep the face front facing the camera for a long time, and usually move, rotate the head, lower the head and the like, so that the person can be recognized in the previous second and cannot be recognized in the next second, the recognition efficiency is further influenced, and the user experience is poor. Particularly, in the big data era, under the condition that a video system has more people, the defect of the video people identification method is more obvious.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a video person identification method and device and a computer storage medium, which can improve the person identification efficiency in a video picture.
In order to achieve the above object, the present invention provides a video person identification method, which includes: when the face information in the video is detected, judging whether the face is in the outline or not; if the face is not in the contour, extracting the facial features of the person in the video; matching the extracted facial features of the person with a pre-stored person information base, wherein the person information base comprises pre-stored facial features of each person and identity information of each person; if the extracted facial features of the person are matched with the facial features of the person in the person information base, the person in the person information base and the person appearing in the video are judged to be the same person, the identity information of the person is extracted from the person information base, and the person in the video is drawn in a contour mode, wherein the contour at least comprises the head of the person; and binding the identity information of the person with the outline.
In an embodiment of the present invention, the method for identifying a video person further includes: and synchronously displaying the identity information of the person and the outline.
In an embodiment of the present invention, the method for identifying a video person further includes: and judging whether the face is in the contour or not after the face information in the video is detected, and if the face is in the contour, discarding the face information.
In an embodiment of the present invention, the method for identifying a video person further includes: when the contour of the person in the video is detected to be drawn for the first time, the contour is finely adjusted in real time according to the motion state of the person, so that the head of the person is always contained in the contour of the person.
In an embodiment of the present invention, the method for identifying a video person further includes: and when the contour is not finely adjusted within a period of time, judging that the personnel is not in the video picture, and discarding the contour and the identity information of the personnel bound by the contour.
In an embodiment of the present invention, the method for identifying a video person further includes: and when the contour is detected to interrupt fine adjustment, re-identifying the personnel in the contour, and if the personnel in the contour is identified to be the person, continuing fine adjustment on the contour.
In an embodiment of the present invention, the method for identifying a video person further includes: detecting information in the outline in real time; when the head information of the person is not included in the outline, the person is judged not to be in the video picture, and the outline and the identity information of the person bound by the outline are discarded.
In an embodiment of the present invention, the drawing the outline of the person in the video includes: after the range of the face is judged according to the face recognition technology, a certain proportion is expanded on the basis of the range so as to form the contour.
The present invention also provides a video character recognition apparatus, which includes: the system comprises a face information detection module, a contour judgment module, a face feature extraction module, a face feature matching module, a face information discarding module, a contour drawing module and an information binding module.
The face information detection module is used for detecting face information of the video. The contour judging module is coupled with the face information detecting module and used for judging whether the face is in the contour or not after the face information in the video is detected by the face information detecting module. The facial feature extraction module is coupled with the outline judgment module and used for extracting the facial features of the person in the video when the outline judgment module judges that the face in the video is not in the outline. The facial feature matching module is coupled with the facial feature extraction module and used for matching the extracted facial features of the person with a pre-stored personnel information base, and when the extracted facial features of the person are matched with the facial features of the person in the personnel information base, the person in the personnel information base and the person appearing in the video are judged to be the same person, wherein the personnel information base comprises the pre-stored facial features of each person and the identity information of each person. The face information discarding module is coupled with the contour judging module and is used for discarding the acquired face information when the face is in the contour. And the contour drawing module is coupled with the facial feature matching module and used for extracting the identity information of the person from the person information base and drawing a contour of the person in the video after the facial feature matching module is matched with the information of the person, wherein the contour at least comprises the head of the person. Specifically, the contour is drawn by determining the range of the face according to the face recognition technology and then enlarging the range by a certain ratio to form the contour. And the information binding module is coupled with the outline drawing module and is used for binding the identity information of the personnel with the outline of the personnel.
In one embodiment, the video person recognition apparatus further includes: and a synchronous display module. And the synchronous display module is used for synchronously displaying the identity information of the personnel and the outline.
In one embodiment, the video person recognition apparatus further includes: and a contour fine-tuning module. And the contour fine-tuning module is coupled with the contour drawing module and used for fine-tuning the contour in real time according to the motion state of the person after the contour of the person in the video is detected to be drawn for the first time so that the head of the person is always contained in the contour of the person.
In one embodiment, the video person recognition apparatus further includes: and a contour information detection module. The contour information detection module is used for detecting information in the contour in real time, and judging that the person is not in the video picture when the head information of the person in the contour can not be detected within a period of time.
In one embodiment, the video person recognition apparatus further includes: and re-identifying the module. And the re-identification module is coupled with the contour information detection module and is used for re-identifying the personnel in the contour when the contour information detection module detects that the fine adjustment is interrupted by the contour, and if the personnel in the contour is identified to be the person, the fine adjustment is continuously carried out on the contour.
In one embodiment, the video person recognition apparatus further includes: and the identity information and contour discarding module. The identity information and contour discarding module is coupled with the contour fine-tuning module and the contour information detecting module and is used for judging whether the person is not in the video picture when the contour is detected not to be fine-tuned any more and discarding the contour and the identity information of the person bound with the contour; and the contour information detection module is also used for discarding the contour and the identity information of the person bound by the contour when the contour information detection module detects that the head information of the person is not included in the contour.
The present invention also provides a computer-readable storage medium for executing the video character recognition method according to any one of the above embodiments.
Compared with the prior art, according to the video person identification method and device and the computer storage medium, after the face features are successfully matched, the person is subjected to contour drawing, the contour at least comprises the head information, and the contour information and the identity information are bound with each other. And through the contour and the continuous fine adjustment of the contour, the recognized personnel can be continuously tracked, when the personnel moves like head lowering, head turning, walking in a video picture and the like, the member information can still be confirmed, and the recognition efficiency is further improved. The method is more suitable for identifying the video people in the big data era.
Drawings
FIG. 1 is a flow diagram of a video person identification method according to an embodiment of the invention;
fig. 2 is a video person recognition apparatus according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Fig. 1 is a flowchart of a video person identification method according to an embodiment of the present invention, the video person identification method including: step S1 to step S5.
In step S1, when the face information in the video is detected, it is determined whether the face is within the contour.
The step of detecting the face information specifically refers to detecting whether a face appears in the video, but not the specific data characteristics of the face, and compared with the specific data characteristics of the face, the data size of the face information detected in the step is much smaller.
In step S2, if the face is not within the contour, the facial features of the person in the video are extracted, and if the face is within the contour, the face information is discarded.
The extracted facial features of the person are matched with a pre-stored person information base in step S3. Wherein, the personnel information base comprises pre-stored facial features of each person and identity information of each person.
The identity information may be the name, department, position, mobile phone number, etc. of the person. Each person's facial features and related identity information are collected in advance and stored in a background database.
The matching identity information is extracted and the drawing of the outline is performed in step S4. Specifically, if the extracted facial features of the person are matched with the facial features of the person in the person information base, the person in the person information base and the person appearing in the video are judged to be the same person, the identity information of the person is extracted from the person information base, and the person is drawn in the video in a contour mode, wherein the contour at least comprises the head of the person. In another embodiment, the method further comprises the following steps: and if the extracted facial features of the person are not matched with the facial features of all persons in the person information base, discarding the face information.
The identity information of the person is bound to the profile in step S5. In another embodiment, the step further comprises displaying the identity information of the person in synchronization with the outline.
The shape of the outline can be rectangle, circle, ellipse, etc., for example, it can be the minimum circumscribed rectangle, circle, ellipse of the head, or it can be the outline that enlarges the reserved size on the basis of the minimum circumscribed rectangle, circle, ellipse of the head, so that most of the head information can still be included in the outline under the condition that the person turns around or lowers the head by a certain extent.
In the embodiment, after the face features are successfully matched, the contour of the person is drawn, the contour at least comprises the head information, and the contour information and the identity information are bound with each other.
In one embodiment, the video person identification method further includes: when the contour of the person in the video is detected to be drawn for the first time, the contour is finely adjusted in real time according to the motion state of the person, so that the head of the person is always contained in the contour of the person. The contour fine adjustment may be based on the center point of the face region or the head region.
Through the contour and the continuous fine adjustment of the contour, the recognized personnel can be continuously tracked, and when the personnel moves like lowering head, turning head, walking in a video picture and the like, the member information can still be confirmed.
In one embodiment, the video person identification method further includes: when the contour is detected not to be finely adjusted within a period of time, judging that the personnel is not in the video picture, and discarding the contour and the identity information of the personnel bound by the contour.
In another embodiment, when the contour is detected to interrupt fine adjustment, the person in the contour is re-identified, and if the person in the contour is identified to be the person, fine adjustment is continued on the contour. Specifically, when re-recognition is performed, the interval time may be set, the person is recognized once every interval time, and if the recognition result is the person for many times, the contour is retained, and fine adjustment is continued. In the process of identifying the person, other characteristics can be extracted for auxiliary judgment, such as the color of ears, hair and collar.
In one embodiment, the video person identification method further includes: and when the fine adjustment of the outline is detected, detecting the personnel information in the outline for multiple times within a certain time period, if the personnel in the outline changes, judging that the personnel is not in the video picture, and discarding the outline and the identity information of the personnel bound by the outline.
In one embodiment, the video person identification method further includes: detecting information in the outline in real time; when the head information of the person is not included in the outline, the person is judged not to be in the video picture, and the outline and the identity information of the person bound by the outline are discarded.
Fig. 2 is a structural component of a video person recognition apparatus according to an embodiment of the present invention, the system including: the system comprises a face information detection module 10, a contour judgment module 11, a face feature extraction module 12, a face feature matching module 13, a face information discarding module 14, a contour drawing module 15 and an information binding module 16.
The face information detection module 10 is configured to detect face information of a video.
The contour determining module 11 is coupled to the face information detecting module 10, and configured to determine whether the face is in the contour after the face information detecting module 10 detects the face information in the video.
The facial feature extraction module 12 is coupled to the contour determination module 11, and is configured to extract facial features of the person in the video when the contour determination module 11 determines that the face in the video is not within the contour.
The facial feature matching module 13 is coupled to the facial feature extraction module 12, and is configured to match the extracted facial feature of the person with a pre-stored person information base, and determine that the person in the person information base is the same person as the person appearing in the video when the extracted facial feature of the person matches the facial feature of the person in the person information base, where the person information base includes pre-stored facial features of each person and identity information of each person.
The face information discarding module 14 is coupled to the contour determining module 11, and configured to discard the acquired face information when the face is within the contour.
The contour drawing module 15 is coupled to the facial feature matching module 13, and is configured to, after the facial feature matching module 13 matches information of a person, extract identity information of the person from the person information base, and draw a contour of the person in the video, where the contour at least includes a head of the person. Specifically, the contour is drawn by determining the range of the face according to the face recognition technology and then enlarging the range by a certain ratio to form the contour.
An information binding module 16 is coupled to the contouring module 15 for binding the identity information of the person with the contour thereof.
In one embodiment, the video person recognition apparatus further includes: and a synchronous display module. And the synchronous display module is used for synchronously displaying the identity information of the personnel and the outline.
In one embodiment, the video person recognition apparatus further includes: and a contour fine-tuning module. And the contour fine-tuning module is coupled with the contour drawing module and used for fine-tuning the contour in real time according to the motion state of the person after the contour of the person in the video is detected to be drawn for the first time so that the head of the person is always contained in the contour of the person.
In one embodiment, the video person recognition apparatus further includes: and a contour information detection module. The contour information detection module is used for detecting information in the contour in real time, and judging that the person is not in the video picture when the head information of the person in the contour can not be detected within a period of time.
In one embodiment, the video person recognition apparatus further includes: and re-identifying the module. And the re-identification module is coupled with the contour information detection module and is used for re-identifying the personnel in the contour when the contour information detection module detects that the fine adjustment is interrupted by the contour, and if the personnel in the contour is identified to be the person, the fine adjustment is continuously carried out on the contour.
In one embodiment, the video person recognition apparatus further includes: and the identity information and contour discarding module. The identity information and contour discarding module is coupled with the contour fine-tuning module and the contour information detecting module and is used for judging whether the person is not in the video picture when the contour is detected not to be fine-tuned any more and discarding the contour and the identity information of the person bound with the contour; and the contour information detection module is also used for discarding the contour and the identity information of the person bound by the contour when the contour information detection module detects that the head information of the person is not included in the contour.
Based on the same inventive concept, the present invention also provides a computer-readable storage medium for executing the video character recognition method according to any one of the above embodiments.
In summary, according to the video person identification method and apparatus and the computer-readable medium of the present embodiment, after the face features are successfully matched, the person is subjected to contour drawing, the contour at least includes the head information, and the contour information and the identity information are bound to each other, and subsequently, when the person in the video is identified, the identity information of the person can be obtained through the drawn contour. And through the contour and the continuous fine adjustment of the contour, the recognized personnel can be continuously tracked, when the personnel moves like head lowering, head turning, walking in a video picture and the like, the member information can still be confirmed, and the recognition efficiency is further improved. The method is more suitable for identifying the video people in the big data era.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. A video person identification method is characterized by comprising the following steps:
when the face information in the video is detected, judging whether the face is in the outline or not;
if the face is not in the contour, extracting the facial features of the person in the video;
matching the extracted facial features of the person with a pre-stored person information base, wherein the person information base comprises pre-stored facial features of each person and identity information of each person;
if the extracted facial features of the person are matched with the facial features of the person in the person information base, the person in the person information base and the person appearing in the video are judged to be the same person, the identity information of the person is extracted from the person information base, and the person in the video is drawn in a contour mode, wherein the contour at least comprises the head of the person; and
and binding the identity information of the person with the outline.
2. The video person recognition method of claim 1, wherein the video person recognition method further comprises:
and synchronously displaying the identity information of the person and the outline.
3. The video person recognition method of claim 1, wherein the video person recognition method further comprises:
and judging whether the face is in the contour or not after the face information in the video is detected, and if the face is in the contour, discarding the face information.
4. The video person recognition method of claim 1, wherein the video person recognition method further comprises:
when the contour of the person in the video is detected to be drawn for the first time, the contour is finely adjusted in real time according to the motion state of the person, so that the head of the person is always contained in the contour of the person.
5. The video person recognition method of claim 4, wherein the video person recognition method further comprises:
and when the contour is not finely adjusted within a period of time, judging that the personnel is not in the video picture, and discarding the contour and the identity information of the personnel bound by the contour.
6. The video person recognition method of claim 4, wherein the video person recognition method further comprises:
and when the contour is detected to interrupt fine adjustment, re-identifying the personnel in the contour, and if the personnel in the contour is identified to be the person, continuing fine adjustment on the contour.
7. The video person recognition method of claim 1, wherein the video person recognition method further comprises:
detecting information in the outline in real time;
when the head information of the person is not included in the outline, the person is judged not to be in the video picture, and the outline and the identity information of the person bound by the outline are discarded.
8. The video person recognition method of claim 1, wherein said contouring the person in the video comprises:
after the range of the face is judged according to the face recognition technology, a certain proportion is expanded on the basis of the range so as to form the contour.
9. A video person recognition apparatus, comprising:
the face information detection module is used for detecting face information of the video;
the contour judging module is coupled with the face information detecting module and used for judging whether the face is in the contour or not after the face information in the video is detected by the face information detecting module;
the facial feature extraction module is coupled with the outline judgment module and used for extracting the facial features of the person in the video when the outline judgment module judges that the face in the video is not in the outline;
the facial feature matching module is coupled with the facial feature extraction module and used for matching the extracted facial features of the person with a pre-stored personnel information base, and when the extracted facial features of the person are matched with the facial features of the person in the personnel information base, the person in the personnel information base and the person appearing in the video are judged to be the same person, wherein the personnel information base comprises the pre-stored facial features of each person and the identity information of each person;
the face information discarding module is coupled with the contour judging module and is used for discarding the acquired face information when the face is in the contour;
the contour drawing module is coupled with the facial feature matching module and used for extracting the identity information of the person from the person information base and drawing a contour of the person in a video after the facial feature matching module is matched with the information of the person, wherein the contour at least comprises the head of the person; and
and the information binding module is coupled with the outline drawing module and is used for binding the identity information of the personnel with the outline of the personnel.
10. A computer-readable storage medium for performing the method of any one of claims 1 to 8.
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| CN109859857A (en) * | 2019-01-30 | 2019-06-07 | 深圳安泰创新科技股份有限公司 | Mask method, device and the computer readable storage medium of identity information |
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