CN111353368A - Pan-tilt camera, face feature processing method and device and electronic equipment - Google Patents

Pan-tilt camera, face feature processing method and device and electronic equipment Download PDF

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CN111353368A
CN111353368A CN201910765974.1A CN201910765974A CN111353368A CN 111353368 A CN111353368 A CN 111353368A CN 201910765974 A CN201910765974 A CN 201910765974A CN 111353368 A CN111353368 A CN 111353368A
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information
face
identifier
identity
pan
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顾俊同
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Shenzhen Honghe Innovation Information Technology Co Ltd
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Shenzhen Honghe Innovation Information Technology Co Ltd
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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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • 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
    • H04N23/695—Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects

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  • Multimedia (AREA)
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Abstract

The invention discloses a pan-tilt camera, a face feature processing method and device and electronic equipment, wherein the pan-tilt camera comprises the following steps: sending a shooting instruction to a pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications; acquiring face image information shot by the pan-tilt camera and a corresponding position identifier; processing the face image information to extract face feature information; and associating the face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises the position identifier, the identity identifier and the face feature information. The invention can rapidly and accurately extract and identify the human face features.

Description

Pan-tilt camera, face feature processing method and device and electronic equipment
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a pan-tilt camera, a face feature processing method and device and electronic equipment.
Background
At present, a face recognition method for a multi-person scene generally collects face image information of each person, performs face recognition on the face image information, matches the face image information with a preset face feature library, and takes a matching result with a high matching degree as a face recognition result; the face feature library generally inputs standard image information (such as a corona-free photo) of each person in advance, extracts corresponding face features according to the standard image information, and stores the face features in the face feature library.
Disclosure of Invention
In view of this, the present invention provides a pan-tilt camera, a method and an apparatus for processing human face features, and an electronic device, which can accurately and quickly extract human face features.
Based on the above object, the present invention provides a pan/tilt camera, comprising:
a pan-tilt camera comprising:
the data receiving unit is used for receiving a shooting instruction, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
the processing unit is used for determining a physical position corresponding to the position identifier according to each position identifier in the position table in sequence, determining a position adjusting parameter according to the physical position, and controlling the pan-tilt camera to adjust to a shooting position according to the position adjusting parameter so that the pan-tilt camera shoots face image information at the shooting position;
and the data sending unit is used for sending the face image information and the corresponding position identification.
Optionally, the shooting instruction further includes an image parameter threshold;
the processing unit is used for judging whether the image parameters of the facial image information reach the image parameter threshold value, determining a focal length adjusting parameter when the image parameters do not reach the image parameter threshold value, and controlling the pan-tilt camera to adjust the focal length according to the focal length adjusting parameter so that the pan-tilt camera shoots the facial image information of which the image parameters reach the image parameter threshold value at the shooting position;
and the data sending unit is used for sending the face image information and the corresponding position identification.
Optionally, the position adjustment parameters at least include a horizontal position parameter, a vertical position parameter, a shooting angle and a shooting height, the processing unit controls the position adjustment mechanism of the pan/tilt camera to adjust the position according to the horizontal position parameter and the vertical position parameter, and controls the camera adjustment position of the pan/tilt camera according to the shooting angle and the shooting height.
Optionally, the image parameter threshold is a minimum pixel value.
The embodiment of the invention also provides a face feature processing method, which comprises the following steps:
sending a shooting instruction to a pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
acquiring face image information shot by the pan-tilt camera and a corresponding position identifier;
processing the face image information to extract face feature information;
and associating the face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises the position identifier, the identity identifier and the face feature information.
Optionally, the method further includes:
the shooting instruction further comprises an image parameter threshold;
acquiring face image information and corresponding position identification of the image parameter which is shot by the pan-tilt camera and reaches the image parameter threshold;
processing the face image information to extract face feature information;
and associating the face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises the position identifier, the identity identifier and the face feature information.
Optionally, the method further includes:
acquiring current face image information shot by the pan-tilt camera, identifying the current face image information to obtain current face feature information, matching the face feature information corresponding to each position identifier in the position table according to the current face feature information, taking the result with the highest matching degree as an identification result, and determining the position identifier and the identity identifier corresponding to the identification result according to the identity information corresponding to the identification result.
Optionally, the method further includes:
acquiring current face image information which is shot by the pan-tilt camera and reaches the image parameter threshold, identifying the current face image information to obtain current face feature information, matching the face feature information corresponding to each position identifier in the position table according to the current face feature information, taking the result with the highest matching degree as an identification result, and determining the position identifier and the identity identifier corresponding to the identification result according to the identity information corresponding to the identification result.
Optionally, the image parameter threshold is a minimum pixel value.
Optionally, the method further includes:
receiving a new version position table, wherein the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications; for each location identity and the corresponding transformed identity, performing:
searching the position table according to the transformed identity,
if a query result is obtained, obtaining face feature information corresponding to the converted identity identifier in the position table according to the query result; and updating a position table according to the transformed identity corresponding to the position identifier and the face feature information corresponding to the transformed identity.
Optionally, the method further includes:
if the query result is not obtained, sending a shooting instruction to the pan-tilt camera, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
acquiring the face image information shot by the pan-tilt camera at the corresponding shooting position according to the position identifier and the position identifier;
processing the face image information to extract face feature information;
and updating a position table according to the transformed identity corresponding to the position identifier and the face feature information correspondingly extracted from the transformed identity.
An embodiment of the present invention further provides a face feature processing apparatus, including:
the data sending module is used for sending a shooting instruction to the pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
the image acquisition module is used for acquiring the face image information shot by the pan-tilt camera and the corresponding position identification;
the characteristic extraction module is used for processing the face image information and extracting face characteristic information;
and the characteristic association module is used for associating the face characteristic information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face characteristic information.
Optionally, the apparatus further comprises:
the shooting instruction further comprises an image parameter threshold;
the image acquisition module is used for acquiring the face image information and the corresponding position identification of the image parameter reaching the image parameter threshold value shot by the pan-tilt camera;
the feature extraction module is used for processing the face image information and extracting face feature information;
the characteristic association module is used for associating the face characteristic information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises position identification, identity identification and face characteristic information.
Optionally, the apparatus further comprises;
the image acquisition module is used for acquiring the current face image information shot by the pan-tilt camera;
and the face recognition module is used for carrying out recognition processing on the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, and determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result.
Optionally, the apparatus further comprises:
the image acquisition module is used for acquiring the current face image information which is shot by the pan-tilt camera and reaches the image parameter threshold;
and the face recognition module is used for carrying out recognition processing on the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, and determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result.
Optionally, the image parameter threshold is a minimum pixel value.
Optionally, the apparatus further comprises:
the data receiving module is used for receiving a new version position table, and the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications;
the searching module is used for searching the position table according to the transformed identity identifier corresponding to each position identifier;
and the updating module is used for obtaining the face feature information corresponding to the converted identity identifier in the position table according to the query result if the query result is obtained by the searching module, and updating the position table according to the converted identity identifier corresponding to the position identifier and the face feature information corresponding to the converted identity identifier.
Optionally, the apparatus further comprises:
the data sending module is used for sending a shooting instruction to the pan-tilt camera if the searching module does not obtain the query result, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
the image acquisition module is used for acquiring the face image information shot by the pan-tilt camera at the corresponding shooting position according to the position identifier and the position identifier;
the feature extraction module is used for processing the face image information and extracting face feature information;
and the updating module is used for updating the position table according to the transformed identity identifier corresponding to the position identifier and the face feature information extracted by the transformed identity identifier.
The embodiment of the invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor realizes the human face feature processing method when executing the program.
As can be seen from the above, the pan-tilt camera, the face feature processing method and device, and the electronic device provided by the invention send a shooting instruction to the pan-tilt camera, the pan-tilt camera sequentially shoots the face image information at each shooting position according to the shooting instruction, obtains the face image information shot by the pan-tilt camera, extracts the face feature information from the face image information, associates the extracted face feature information with the position table, and obtains the identity information of each person in the position table; the face can be identified according to the acquired current face image information, and the corresponding position identification and identity identification can be determined, and the face identification accuracy can be improved due to the unchanged shooting angle; the invention can also collect clear face image information by adjusting the focal length of the pan-tilt camera, thereby accurately extracting and identifying the face characteristics. The invention can rapidly and accurately extract and identify the face features without inputting standard image information one by one, thereby saving time and labor and improving user experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram of a pan-tilt camera according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method according to another embodiment of the present invention;
FIG. 4 is a schematic diagram of an application scenario according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for updating a location table according to an embodiment of the present invention;
FIG. 6 is a block diagram of an apparatus according to an embodiment of the present invention;
fig. 7 is a block diagram of an apparatus according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
Fig. 4 is a schematic view of an application scenario according to an embodiment of the present invention. As shown in the drawings, the pan-tilt camera and the face feature processing method provided by the embodiment of the invention are applied to a multi-person scene, all persons are located in a specific area, each person has a corresponding preset position in the specific area, the preset position of each person has a unique position identifier, and the position information of each preset position comprises a corresponding position identifier and an identity identifier; for example, in an area in a classroom, each student sits in an arranged seat in a line-row order, each seat has a unique position identifier in the area in the classroom, for a student sitting in the ith row and jth column, the position identifier is L (i, j), and the identity identifier is identity attribute information such as the name, the sex and the like of the student, that is, the position information of the area in the classroom of the student comprises the position identifier and the identity identifier.
Fig. 1 is a block diagram of a pan-tilt camera according to an embodiment of the present invention. As shown in the drawings, the pan-tilt camera provided by the embodiment of the present invention includes:
the data receiving unit is used for receiving a shooting instruction, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
the processing unit is used for determining a physical position corresponding to the position identifier according to each position identifier in the position table in sequence, determining a position adjusting parameter according to the physical position, and controlling the pan-tilt camera to adjust to a shooting position according to the position adjusting parameter so that the pan-tilt camera shoots face image information at the shooting position;
and the data sending unit is used for sending the shot face image information and the corresponding position identification.
In the embodiment of the invention, the pan-tilt camera has a position adjusting function, so that the pan-tilt camera is utilized to shoot the face image information in the specific area. Specifically, the pan-tilt camera receives a shooting instruction sent by the server, obtains each position identifier in the position table according to the position table in the shooting instruction, determines the physical position of the position identifier in a specific area according to each position identifier, determines the shooting position of the pan-tilt camera, determines the position adjustment parameter of the pan-tilt camera, controls the pan-tilt camera to be adjusted to the shooting position according to the position adjustment parameter, enables the pan-tilt camera to shoot face image information corresponding to the position identifier at the shooting position, sequentially shoots the face image information corresponding to each position identifier according to the method, sends the shot face image information to the server, and the server identifies the received face image information. The face image information is acquired by the pan-tilt camera, and the standard image information of each person does not need to be input one by one in advance, so that time and labor are saved; moreover, because each position in the position table is relatively fixed, the shooting position of the face image information of each position in the shooting position table shot by the pan-tilt camera is relatively fixed, and the feature extraction and identification are carried out on the basis of the shot face image information, the problem of low identification rate caused by different shooting angles can be solved.
The tripod head camera comprises a camera and a position adjusting mechanism, the position adjusting parameters at least comprise horizontal position parameters, vertical position parameters, a shooting angle and a shooting height, the position adjusting mechanism is controlled to adjust the position according to the horizontal position parameters and the vertical position parameters, and the camera is controlled to adjust the position according to the shooting angle and the shooting height.
In some embodiments, the pan-tilt camera further comprises:
the data receiving unit is used for receiving a shooting instruction, and the shooting instruction comprises a position table and an image parameter threshold;
the processing unit is used for judging whether the image parameters of the shot face image information reach an image parameter threshold value or not, determining a focal length adjusting parameter when the image parameters do not reach the image parameter threshold value, and controlling the pan-tilt camera to adjust the focal length according to the focal length adjusting parameter so that the pan-tilt camera shoots the face image information of which the image parameters reach the image parameter threshold value at the shooting position;
and the data sending unit is used for sending the face image information of which the image parameters reach the image parameter threshold value and the corresponding position identification.
In the embodiment, in the shooting process of the pan-tilt camera, for the face image information shot at the shooting position corresponding to each position identifier, the processing unit judges whether the image parameter of the face image information reaches an image parameter threshold value, if so, the face image information is the face image information, the face image information of the next shooting position is continuously shot, if not, the focus adjustment parameter is determined, the focus is adjusted according to the focus adjustment parameter, the face image information is shot again at the current shooting position, when the image parameter of the face image information shot again reaches the image parameter threshold value, the face image information shot again is used as the face image information, and the face image information of the next shooting position is continuously shot; for the face image information of which the image parameters reach the image parameter threshold, sending the face image information and the corresponding position identification to a server; and when the image parameters of the face image information corresponding to all the position identifications in the position table reach the image parameter threshold value, the pan-tilt camera finishes shooting. In the embodiment of the invention, in a specific area, the pan-tilt camera can sequentially shoot the face image information with the definition meeting certain requirements according to each position identifier in the position table, and the server can rapidly and accurately extract the face features according to the face image information to identify the face features.
The image parameter threshold value can be a minimum pixel value, when the pixel value of the shot face image information does not reach the minimum pixel value, the pan-tilt camera adjusts the focal length, shoots the face image information again until the pixel value of the shot face image information reaches the minimum pixel value, and continues to shoot the face image information at the next shooting position.
FIG. 2 is a schematic flow chart of a method according to an embodiment of the present invention. As shown in fig. 2 and 4, a face feature processing method provided in the embodiment of the present invention includes:
s10: sending a shooting instruction to a pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
according to the preset position of each person in the specific area, the position identification of each person is determined, a position table comprising the position identifications of all persons is generated, and the position table is sent to the pan-tilt camera installed in the specific area.
S11: acquiring face image information shot by a pan-tilt camera and a corresponding position identifier;
the pan-tilt camera sequentially shoots the face image information of each shooting position according to the received position table and each position identification, the face image information and the position identification of each shooting position are sent to the server, and the server receives and acquires the face image information shot by the pan-tilt camera and the position identification corresponding to the face image information.
S12: processing the face image information, and extracting face characteristic information;
and processing the face image information by using a feature extraction module to extract face feature information. Optionally, the function of extracting the face feature information by the feature extraction module can be realized by using a deep learning method, wherein the face feature information includes key point information such as eyes, a nose, a mouth, eyebrows, face contours and the like.
S13: and associating the extracted face feature information with a position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face feature information.
According to the position identification corresponding to the face image information, associating the face feature information extracted from the face image information with the position identification, and determining the identity information of each preset position in the specific area, wherein the identity information of each preset position comprises the position identification of the preset position, the identity identification of the personnel in the preset position and the extracted face feature information of the personnel.
The face feature processing method of this embodiment utilizes a pan-tilt camera to sequentially shoot face image information according to each shooting position in a position table, processes the face image information shot at each shooting position to extract face feature information at each shooting position, and then establishes an association relationship between a position identifier, an identity identifier and the face feature information at each shooting position to obtain identity information of all people in the position table. According to the face feature processing method, the face feature information can be extracted quickly.
In this embodiment, the face feature information may be identified based on the extracted face feature information, and the face feature processing method further includes:
the method comprises the steps of obtaining current face image information shot by a pan-tilt camera, carrying out recognition processing on the current face image information to obtain current face feature information, matching the face feature information corresponding to each position identification in a position table according to the current face feature information, taking the result with the highest matching degree as a recognition result, determining the position identification and the identity identification corresponding to the recognition result according to the identity information corresponding to the recognition result, and determining the position identification and the identity identification of a recognized person. Because the face image information in the extraction and recognition stages of the face feature information is obtained by shooting at the same shooting position by using the pan-tilt camera, the face recognition accuracy rate cannot be influenced due to different shooting angles, different light rays and the like, and the face recognition accuracy rate is improved.
FIG. 3 is a schematic flow chart of a method according to another embodiment of the present invention. As shown in the figure, the method for processing the face features of the embodiment of the invention comprises the following steps:
s20: sending a shooting instruction to a pan-tilt camera, wherein the shooting instruction comprises a position table and an image parameter threshold;
because each person is located at a corresponding preset position in the specific area, the shooting range of the pan-tilt camera is limited, the pan-tilt camera cannot shoot clear face image information of all persons, and particularly, the face image information shot by the pan-tilt camera is not clear enough at positions far away from the pan-tilt camera and at the edge of the shooting range. Therefore, the pan-tilt camera needs to judge whether the image parameters reach the image parameter threshold value according to the face image information shot at the shooting position, and can meet the definition requirement.
In this embodiment, in order to improve the definition of the face image information shot by the pan-tilt camera, the shooting instruction sent to the pan-tilt camera further includes a set image parameter threshold; alternatively, the image parameter threshold may be an image parameter such as a minimum pixel value that can measure the image sharpness.
S21: acquiring face image information and corresponding position identification when image parameters shot by a pan-tilt camera reach an image parameter threshold;
the pan-tilt camera sequentially shoots the face image information of each shooting position according to the received position table and each position identification, whether the image parameter of the face image information of each shooting position reaches an image parameter threshold value is judged, if yes, the face image information is the face image information, the face image information and the position identification which reach the image parameter threshold value are sent to the server, and the server receives and obtains the face image information shot by the pan-tilt camera and the position identification corresponding to the face image information.
S22: processing the face image information, and extracting face characteristic information;
based on the face image information meeting certain definition requirements, face feature information is extracted from the face image information, and the feature extraction accuracy is improved.
S23: and associating the extracted face feature information with a position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face feature information.
The face feature processing method of this embodiment utilizes a pan-tilt camera to sequentially shoot face image information according to each shooting position in a position table, determines whether image parameters of the shot face image information reach an image parameter threshold, if so, processes the face image information reaching the image parameter threshold to extract face feature information of each shooting position, and then establishes an association relationship between a position identifier, an identity identifier and the face feature information of each shooting position to obtain identity information of all people in the position table. According to the human face feature processing method, the human face feature information can be extracted quickly and accurately.
In this embodiment, the face feature information may be identified based on the extracted face feature information, and the face feature processing method further includes:
the method comprises the steps of obtaining current face image information which is shot by a pan-tilt camera and reaches an image parameter threshold, identifying the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in a position table according to the current face characteristic information, taking the result with the highest matching degree as an identification result, determining the position identifier and the identity identifier corresponding to the identification result according to the identity information corresponding to the identification result, and determining the position identifier and the identity identifier of an identified person. Because the face image information in the extraction and recognition stages of the face characteristic information is obtained by shooting at the same shooting position by using the pan-tilt camera, the face recognition accuracy rate cannot be influenced due to different shooting angles, different light rays and other reasons, so that the face recognition accuracy rate is improved, and the shot face image information meets certain definition and can be further improved.
Fig. 5 is a flowchart of a method for updating a location table according to an embodiment of the present invention. As shown in the figure, when the location table in a specific area changes, for example, a student rotates seats, the location table may be updated, that is, the location identifier of each predetermined location is not changed, and the location table is updated according to the identity identifier of each predetermined location after transformation and corresponding face feature information, where the identity information of each predetermined location includes the location identifier, the identity identifier after transformation and the face feature information. The method for updating the position table comprises the following steps:
s30: receiving a new version position table, wherein the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications;
s31: searching a position table according to the transformed identity identifier corresponding to each position identifier, judging whether a query result is obtained, if so, executing a step S32, otherwise, executing a step S34;
s32: obtaining face feature information corresponding to the identity after conversion in the position table according to the query result;
s33: and updating the position table according to the transformed identity corresponding to the position identifier and the face feature information corresponding to the transformed identity.
In this embodiment, if the location table changes, the identity information of each predetermined location in the location table needs to be updated synchronously. When the personnel does not change but the position changes, obtaining a converted identity corresponding to the position identification according to the position identification of the new position table, inquiring the stored position table according to the converted identity, matching the converted identity with the identity of each position identification of the stored position table, if the matching is successful, obtaining the face feature information corresponding to the identity, and associating the face feature information with the position identification of the new position table; and when the transformed identity of each position identifier in the new position table is associated with the face feature information, obtaining a complete new position table and finishing the updating of the position table. Therefore, even if the position table is updated, the face feature information does not need to be extracted again, so that the resource is saved, and the time and the labor are saved.
S34: sending a shooting instruction to the pan-tilt camera when the query result is not obtained, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
s35: acquiring face image information shot by the pan-tilt camera at a corresponding shooting position according to the position identifier and the position identifier;
s36: processing the face image information, and extracting face characteristic information; then, step S33 is executed.
When there is a new person in the new position table, the query result cannot be obtained from the stored position table, and in this case, face feature extraction needs to be performed on the new person. Specifically, the position identification of the newly added personnel is sent to a pan-tilt camera, the pan-tilt camera is used for collecting face image information of a shooting position corresponding to the position identification, after the face image information is obtained, face feature information is extracted from the face image information, and the face feature information is associated with the position identification; and when the transformed identity of each position identifier in the new position table is associated with the face feature information, obtaining a complete new position table and finishing the updating of the position table. Therefore, even if the position table is updated, new personnel are added, the new personnel only need to be subjected to face feature extraction, face feature information of all personnel does not need to be extracted again, resources are saved, and time and labor are saved.
In this embodiment, in order to improve the accuracy of extracting the face feature information of the newly added person, face image information that an image parameter shot by the pan-tilt camera reaches an image parameter threshold may be obtained, and the face feature information is extracted based on the face image information.
FIG. 6 is a block diagram of an apparatus according to an embodiment of the present invention. As shown in the drawings, a face feature processing apparatus provided in an embodiment of the present invention includes:
the data sending module is used for sending a shooting instruction to the pan-tilt camera, and the shooting instruction comprises a position table;
the image acquisition module is used for acquiring face image information shot by the pan-tilt camera and corresponding position identification;
the characteristic extraction module is used for processing the face image information and extracting the face characteristic information;
and the feature association module is used for associating the extracted face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face feature information.
In this embodiment, the position identifier of each person is determined according to the predetermined position of each person in the specific area, a position table including the position identifiers of all persons is generated, and the data sending module sends the position table to the pan-tilt camera installed in the specific area.
The pan-tilt camera determines a physical position corresponding to the position identification according to the received position table and each position identification, determines shooting positions according to the physical positions, sequentially shoots face image information of each shooting position, sends the face image information and the position identification of each shooting position to the server, and the image acquisition module acquires the face image information shot by the pan-tilt camera and the position identification corresponding to the face image information.
And processing the face image information by using a feature extraction module to extract face feature information. Optionally, the function of extracting the face feature information by the feature extraction module can be realized by using a deep learning method, wherein the face feature information includes key point information such as eyes, a nose, a mouth, eyebrows, face contours and the like.
The feature association module associates the face feature information extracted from the face image information with the position identifier according to the position identifier corresponding to the face image information, and determines identity information of each preset position in a specific area, wherein the identity information of each preset position comprises the position identifier of the preset position, the identity identifier of a person in the preset position and the extracted face feature information of the person.
The face feature processing device of this embodiment utilizes the pan-tilt camera to shoot the face image information according to each shooting position in the position table in sequence, processes the face image information shot at each shooting position to extract the face feature information at each shooting position, and then establishes an association relationship between the position identifier, the identity identifier and the face feature information at each shooting position to obtain the identity information of all the people in the position table. According to the human face feature processing device, the human face feature information can be extracted quickly.
In this embodiment, the face feature information may be identified based on the extracted face feature information, and the face feature processing apparatus further includes:
the image acquisition module is used for acquiring the current face image information shot by the pan-tilt camera;
and the face recognition module is used for recognizing and processing the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result, and determining the position identifier and the identity identifier of the recognized personnel.
Therefore, the face image information in the extraction and recognition stages of the face feature information is obtained by shooting at the same shooting position by using the pan-tilt camera, so that the face recognition accuracy rate cannot be influenced due to different shooting angles, different light rays and the like, and the face recognition accuracy rate is improved.
In another embodiment, the facial feature processing apparatus further includes:
the data sending module is used for sending a shooting instruction to the pan-tilt camera, wherein the shooting instruction comprises a position table and an image parameter threshold;
the image acquisition module is used for acquiring the face image information and the corresponding position identification of the image parameter reaching the image parameter threshold value shot by the pan-tilt camera;
the characteristic extraction module is used for processing the face image information and extracting the face characteristic information;
and the feature association module is used for associating the extracted face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face feature information.
Because each person is located at a corresponding preset position in the specific area, the shooting range of the pan-tilt camera is limited, the pan-tilt camera cannot shoot clear face image information of all persons, and particularly, the face image information shot by the pan-tilt camera is not clear enough at positions far away from the pan-tilt camera and at the edge of the shooting range. Therefore, the pan-tilt camera needs to judge whether the image parameters reach the image parameter threshold value according to the face image information shot at the shooting position, and can meet the definition requirement.
In this embodiment, in order to improve the definition of the face image information shot by the pan-tilt camera, the shooting instruction sent by the data sending module to the pan-tilt camera further includes a set image parameter threshold; alternatively, the image parameter threshold may be an image parameter such as a minimum pixel value that can measure the image sharpness.
The pan-tilt camera sequentially shoots the face image information of each shooting position according to the received position table and each position identification, whether the image parameter of the face image information of each shooting position reaches an image parameter threshold value is judged, if yes, the face image information is the face image information, the face image information and the position identification which reach the image parameter threshold value are sent to the server, and the image acquisition module receives and acquires the face image information shot by the pan-tilt camera and the position identification corresponding to the face image information.
The feature extraction module extracts face feature information from face image information meeting certain definition requirements, and improves feature extraction accuracy.
The face feature processing device of this embodiment utilizes a pan-tilt camera to shoot face image information according to each shooting position in a position table in sequence, judges whether image parameters of the shot face image information reach an image parameter threshold, if so, utilizes a feature extraction module to process the face image information reaching the image parameter threshold so as to extract face feature information of each shooting position, and then utilizes a feature association module to establish an association relationship among a position identifier, an identity identifier and the face feature information of each shooting position so as to obtain identity information of all people in the position table. The human face feature processing device can quickly and accurately extract the human face feature information.
In this embodiment, the face feature information may be identified based on the extracted face feature information, and the face feature processing apparatus further includes:
the image acquisition module is used for acquiring the current face image information which is shot by the pan-tilt camera and reaches the image parameter threshold;
and the face recognition module is used for recognizing and processing the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result, and determining the position identifier and the identity identifier of the recognized personnel.
Therefore, the face image information in the face feature information extraction and identification stages is obtained by shooting at the same shooting position through the pan-tilt camera, so that the face identification accuracy rate cannot be influenced due to different shooting angles, different light rays and the like, the face identification accuracy rate is improved, and the shot face image information meets certain definition and can be further improved.
Fig. 7 is a block diagram of an apparatus according to another embodiment of the present invention. When the position table in the specific area is changed, for example, the student rotates seats, the position table can be updated, namely the position identifier of each preset position is unchanged, the position table is updated according to the identity identifier of each preset position after conversion and the corresponding face feature information, and the identity information of each preset position comprises the position identifier, the identity identifier after conversion and the face feature information. As shown in the figure, the facial feature processing apparatus further includes:
the data receiving module is used for receiving a new version position table, and the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications;
the searching module is used for searching the position table according to the transformed identity identifier corresponding to each position identifier;
the updating module is used for obtaining the face feature information corresponding to the converted identity identifier in the position table according to the query result if the query result is obtained, and updating the position table according to the converted identity identifier corresponding to the position identifier and the face feature information corresponding to the converted identity identifier; the position table is used for updating the position table according to the transformed identity mark corresponding to the position mark and the face feature information correspondingly extracted from the transformed identity mark;
the data sending module is used for sending a shooting instruction to the pan-tilt camera if the query result is not obtained, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
the image acquisition module is used for acquiring the face image information shot by the pan-tilt camera at the corresponding shooting position according to the position identifier and the position identifier;
and the feature extraction module is used for processing the face image information and extracting the face feature information.
In this embodiment, if the location table changes, the identity information of each predetermined location in the location table needs to be updated synchronously. When the personnel does not change but the position changes, obtaining a converted identity corresponding to the position identification according to the position identification of the new position table, inquiring the stored position table according to the converted identity, matching the converted identity with the identity of each position identification of the stored position table, if the matching is successful, obtaining the face feature information corresponding to the identity, and associating the face feature information with the position identification of the new position table; and when the transformed identity of each position identifier in the new position table is associated with the face feature information, obtaining a complete new position table and finishing the updating of the position table. Therefore, even if the position table is updated, the face feature information does not need to be extracted again, so that the resource is saved, and the time and the labor are saved.
When there is a new person in the new position table, the query result cannot be obtained from the stored position table, and in this case, face feature extraction needs to be performed on the new person. Specifically, the position identification of the newly added personnel is sent to a pan-tilt camera, the pan-tilt camera is used for collecting face image information of a shooting position corresponding to the position identification, after the face image information is obtained, face feature information is extracted from the face image information, and the face feature information is associated with the position identification; and when the transformed identity of each position identifier in the new position table is associated with the face feature information, obtaining a complete new position table and finishing the updating of the position table. Therefore, even if the position table is updated, new personnel are added, the new personnel only need to be subjected to face feature extraction, face feature information of all personnel does not need to be extracted again, resources are saved, and time and labor are saved.
In this embodiment, in order to improve the accuracy of extracting the face feature information of the newly added person, the image acquisition module may be used to acquire face image information that an image parameter shot by the pan-tilt camera reaches an image parameter threshold, and the feature extraction module may be used to extract the face feature information based on the face image information.
Based on the above purpose, the embodiment of the present invention further provides an embodiment of an apparatus for executing the face feature processing method. The device comprises:
one or more processors, and a memory.
The apparatus for performing the face feature processing method may further include: an input device and an output device.
The processor, memory, input device, and output device may be connected by a bus or other means.
The memory, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the facial feature processing method in the embodiment of the present invention. The processor executes various functional applications and data processing of the server by running the nonvolatile software program, instructions and modules stored in the memory, namely, the face feature processing method of the above method embodiment is realized.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of an apparatus that performs the face feature processing method, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory optionally includes memory remotely located from the processor, and these remote memories may be connected to the member user behavior monitoring device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device may receive input numeric or character information and generate key signal inputs related to user settings and function control of the device performing the facial feature processing method. The output device may include a display device such as a display screen.
The one or more modules are stored in the memory and when executed by the one or more processors perform the face feature processing method of any of the above method embodiments. The technical effect of the embodiment of the device for executing the face feature processing method is the same as or similar to that of any method embodiment.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the processing method of the list item operation in any method embodiment. Embodiments of the non-transitory computer storage medium may be the same or similar in technical effect to any of the method embodiments described above.
Finally, it should be noted that, as will be understood by those skilled in the art, all or part of the processes in the methods of the above embodiments may be implemented by a computer program that can be stored in a computer-readable storage medium and that, when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The technical effect of the embodiment of the computer program is the same as or similar to that of any of the method embodiments described above.
Furthermore, the apparatuses, devices, etc. described in the present disclosure may be various electronic terminal devices, such as a mobile phone, a Personal Digital Assistant (PDA), a tablet computer (PAD), a smart television, etc., and may also be large terminal devices, such as a server, etc., and therefore the scope of protection of the present disclosure should not be limited to a specific type of apparatus, device. The client disclosed by the present disclosure may be applied to any one of the above electronic terminal devices in the form of electronic hardware, computer software, or a combination of both.
Furthermore, the method according to the present disclosure may also be implemented as a computer program executed by a CPU, which may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the above-described functions defined in the method of the present disclosure.
Further, the above method steps and system elements may also be implemented using a controller and a computer readable storage medium for storing a computer program for causing the controller to implement the functions of the above steps or elements.
Further, it should be appreciated that the computer-readable storage media (e.g., memory) described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which can act as external cache memory. By way of example and not limitation, RAM is available in a variety of forms such as synchronous RAM (DRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (19)

1. A pan-tilt camera, comprising:
the data receiving unit is used for receiving a shooting instruction, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
the processing unit is used for determining a physical position corresponding to the position identifier according to each position identifier in the position table in sequence, determining a position adjusting parameter according to the physical position, and controlling the pan-tilt camera to adjust to a shooting position according to the position adjusting parameter so that the pan-tilt camera shoots face image information at the shooting position;
and the data sending unit is used for sending the face image information and the corresponding position identification.
2. Pan-tilt camera according to claim 1,
the shooting instruction further comprises an image parameter threshold;
the processing unit is used for judging whether the image parameters of the facial image information reach the image parameter threshold value, determining a focal length adjusting parameter when the image parameters do not reach the image parameter threshold value, and controlling the pan-tilt camera to adjust the focal length according to the focal length adjusting parameter so that the pan-tilt camera shoots the facial image information of which the image parameters reach the image parameter threshold value at the shooting position;
and the data sending unit is used for sending the face image information reaching the image parameter threshold value and the corresponding position identification.
3. A pan-tilt camera according to claim 1, wherein the position adjustment parameters comprise at least a horizontal position parameter, a vertical position parameter, a shooting angle and a shooting height, and the processing unit controls the position adjustment mechanism of the pan-tilt camera to adjust the position according to the horizontal position parameter and the vertical position parameter, and controls the camera adjustment position of the pan-tilt camera according to the shooting angle and the shooting height.
4. Pan-tilt camera according to claim 2, characterized in that the image parameter threshold value is a minimum pixel value.
5. A face feature processing method is characterized by comprising the following steps:
sending a shooting instruction to a pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
acquiring face image information shot by the pan-tilt camera and a corresponding position identifier;
processing the face image information to extract face feature information;
and associating the face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises the position identifier, the identity identifier and the face feature information.
6. The method of claim 5, further comprising:
the shooting instruction further comprises an image parameter threshold;
acquiring face image information and corresponding position identification of the image parameter which is shot by the pan-tilt camera and reaches the image parameter threshold;
processing the face image information reaching the image parameter threshold value, and extracting face characteristic information;
and associating the face feature information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises the position identifier, the identity identifier and the face feature information.
7. The method of claim 5, further comprising:
acquiring current face image information shot by the pan-tilt camera, identifying the current face image information to obtain current face feature information, matching the face feature information corresponding to each position identifier in the position table according to the current face feature information, taking the result with the highest matching degree as an identification result, and determining the position identifier and the identity identifier corresponding to the identification result according to the identity information corresponding to the identification result.
8. The method of claim 6, further comprising:
acquiring current face image information which is shot by the pan-tilt camera and reaches the image parameter threshold, identifying the current face image information to obtain current face feature information, matching the face feature information corresponding to each position identifier in the position table according to the current face feature information, taking the result with the highest matching degree as an identification result, and determining the position identifier and the identity identifier corresponding to the identification result according to the identity information corresponding to the identification result.
9. The method of claim 6, wherein the image parameter threshold is a minimum pixel value.
10. The method of claim 5, further comprising:
receiving a new version position table, wherein the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications; for each location identity and the corresponding transformed identity, performing:
searching the position table according to the transformed identity,
if a query result is obtained, obtaining face feature information corresponding to the converted identity identifier in the position table according to the query result; and updating a position table according to the transformed identity corresponding to the position identifier and the face feature information corresponding to the transformed identity.
11. The method of claim 10, further comprising:
if the query result is not obtained, sending a shooting instruction to the pan-tilt camera, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
acquiring the face image information shot by the pan-tilt camera at the corresponding shooting position according to the position identifier and the position identifier;
processing the face image information to extract face feature information;
and updating a position table according to the transformed identity corresponding to the position identifier and the face feature information correspondingly extracted from the transformed identity.
12. A face feature processing apparatus, comprising:
the data sending module is used for sending a shooting instruction to the pan-tilt camera, wherein the shooting instruction comprises a position table, and the position table comprises a plurality of position identifications;
the image acquisition module is used for acquiring the face image information shot by the pan-tilt camera and the corresponding position identification;
the characteristic extraction module is used for processing the face image information and extracting face characteristic information;
and the characteristic association module is used for associating the face characteristic information with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises a position identifier, an identity identifier and face characteristic information.
13. The apparatus of claim 12, further comprising:
the shooting instruction further comprises an image parameter threshold;
the image acquisition module is used for acquiring the face image information and the corresponding position identification of the image parameter reaching the image parameter threshold value shot by the pan-tilt camera;
the feature extraction module is used for processing the face image information reaching the image parameter threshold value and extracting face feature information;
the characteristic association module is used for associating the face characteristic information reaching the image parameter threshold with the position table to obtain the identity information of each person in the position table, wherein the identity information comprises position identification, identity identification and face characteristic information.
14. The apparatus of claim 12, further comprising;
the image acquisition module is used for acquiring the current face image information shot by the pan-tilt camera;
and the face recognition module is used for carrying out recognition processing on the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, and determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result.
15. The apparatus of claim 13, further comprising:
the image acquisition module is used for acquiring the current face image information which is shot by the pan-tilt camera and reaches the image parameter threshold;
and the face recognition module is used for carrying out recognition processing on the current face image information to obtain current face characteristic information, matching the face characteristic information corresponding to each position identifier in the position table according to the current face characteristic information, taking the result with the highest matching degree as a recognition result, and determining the position identifier and the identity identifier corresponding to the recognition result according to the identity information corresponding to the recognition result.
16. The apparatus of claim 13, wherein the image parameter threshold is a minimum pixel value.
17. The apparatus of claim 12, further comprising:
the data receiving module is used for receiving a new version position table, and the new version position table comprises a plurality of position identifications and transformed identity identifications corresponding to the position identifications;
the searching module is used for searching the position table according to the transformed identity identifier corresponding to each position identifier;
and the updating module is used for obtaining the face feature information corresponding to the converted identity identifier in the position table according to the query result if the query result is obtained by the searching module, and updating the position table according to the converted identity identifier corresponding to the position identifier and the face feature information corresponding to the converted identity identifier.
18. The apparatus of claim 17, further comprising:
the data sending module is used for sending a shooting instruction to the pan-tilt camera if the searching module does not obtain the query result, wherein the shooting instruction comprises a position identifier corresponding to the converted identity identifier;
the image acquisition module is used for acquiring the face image information shot by the pan-tilt camera at the corresponding shooting position according to the position identifier and the position identifier;
the feature extraction module is used for processing the face image information and extracting face feature information;
and the updating module is used for updating the position table according to the transformed identity identifier corresponding to the position identifier and the face feature information extracted by the transformed identity identifier.
19. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 5 to 11 when executing the program.
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