CN110443122A - Information processing method and Related product - Google Patents
Information processing method and Related product Download PDFInfo
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- CN110443122A CN110443122A CN201910559252.0A CN201910559252A CN110443122A CN 110443122 A CN110443122 A CN 110443122A CN 201910559252 A CN201910559252 A CN 201910559252A CN 110443122 A CN110443122 A CN 110443122A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
- G06Q50/2057—Career enhancement or continuing education service
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/752—Contour matching
-
- 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
- G06V40/172—Classification, e.g. identification
-
- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
Abstract
The embodiment of the invention provides a kind of information processing method and Related products, wherein the described method includes: obtaining the target personal information of target object；According to the target personal information, the target training strategies of the target object are determined；The target object is giveed training according to the target training strategies.The social experience for guarding against personnel according to society may be implemented through the embodiment of the present invention, carry out specific aim training, can quickly allow society to guard against man winding professional skill, better conform to society, improve training efficiency.
Description
Technical field
The present invention relates to technical field of information processing, and in particular to a kind of information processing method and Related product.
Background technique
Re-employment program occupation after quitting drug abuse to drug addict's (such as giving up taking addictive drugs by force, the drug rehabilitation of She Kang society, social face drug rehabilitation)
Skills training work, organizes relevant skills training group, then gives them the selection of the skills training that chooses a profession, it is ensured that
It can socially support oneself by feat of professional skill after returning society, guarantee that basic living skill demand and study need
It wants, is even benefited for society, service society.Therefore, the problem of how effectively giveing training to it is urgently to be resolved.
Summary of the invention
The embodiment of the invention provides a kind of information processing method and device Related products, are able to ascend training efficiency.
First aspect of the embodiment of the present invention provides a kind of information processing method, is applied to electronic equipment, comprising:
Obtain the target personal information of target object；
According to the target personal information, the target training strategies of the target object are determined；
The target object is giveed training according to the target training strategies.
Second aspect of the embodiment of the present invention provides a kind of information processing unit, is applied to electronic equipment, described device packet
It includes: acquiring unit, determination unit and training module, wherein
The acquiring unit, for obtaining the target personal information of target object；
The determination unit, for determining the target training strategies of the target object according to the target personal information；
The training module, for being giveed training according to the target training strategies to the target object.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure is included the steps that for executing the instruction in the embodiment of the present application first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in the embodiment of the present application first aspect.
5th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be one
A software installation packet.
Implement the embodiment of the present application, have it is following the utility model has the advantages that
As can be seen that information processing method described in through the embodiment of the present invention and Related product, set applied to electronics
Standby, the target personal information of available target object determines the target training plan of target object according to target personal information
Slightly, target object is giveed training according to target training strategies, in this way, the social experience for guarding against personnel according to society may be implemented, is come
Specific aim training can quickly allow society to guard against man winding professional skill, better conform to society, improve training efficiency.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of embodiment flow diagram of information processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of another embodiment flow diagram of information processing method provided in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention；
Fig. 4 A is a kind of structural schematic diagram of information processing unit provided in an embodiment of the present invention；
Fig. 4 B is the another structural schematic diagram of information processing unit described in Fig. 4 A provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Description and claims of this specification and term " first ", " second ", " third " and " in the attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.It is identical that each position in the description shows that the phrase might not be each meant
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment described by the embodiment of the present invention may include smart phone (such as Android phone, iOS mobile phone,
Windows Phone mobile phone etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile
Internet Devices) or wearable device etc., above-mentioned is only citing, and non exhaustive, including but not limited to above-mentioned apparatus, when
So, above-mentioned electronic equipment can also be server.
Referring to Fig. 1, being a kind of first embodiment flow diagram of information processing method provided in an embodiment of the present invention.
Information processing method as described in this embodiment is applied to electronic equipment, comprising the following steps:
101, the target personal information of target object is obtained.
Wherein, target personal information may include following at least one: name, gender, age, educational background, profession, work warp
It goes through, native place, bank's card number, telephone number, home address, Party organization's relationship, family relationship etc., is not limited thereto.Target
Object can be people, as personnel guard against in She Kang society.Target personal information can in advance typing in the electronic device, input target pair
When the relevant information of elephant, the target personal information of available target object.Certainly, the embodiment of the present invention can also be applied to
School, corporate training, education and training organization etc., are not limited thereto.
Certainly, the information registration form of target object can also be stored in advance in electronic equipment, which is carried out
Scanning obtains information registration image, carries out keyword extraction to information registration image, obtains target personal information.Information is stepped on
At least one of following information: name, gender, age, educational background, profession, work experience, native place, silver can be registered in note table
Row card number, telephone number, home address, Party organization's relationship, family relationship etc., keyword can be hand-written script, alternatively, closing
Key word is the font in specified region, it can the font for first extracting the specified region in information registration image, to these fonts into
Line character identification, obtains target personal information.
Optionally, above-mentioned steps 101 obtain the target personal information of target object, may include steps of:
11, the target facial image of the target object is obtained；
12, the target facial image is input in presetting database and is scanned for, obtained and the target face figure
As the target face template of successful match；
13, the corresponding target personal information of the target face template is obtained.
Wherein, presetting database can be stored in advance in electronic equipment, multiple people can be stored in advance in presetting database
Face template, the corresponding personal information of each face template.In the specific implementation, camera has can be set in electronic equipment, by taking the photograph
As the target facial image of available target object, and target facial image is input in presetting database and is searched
Rope obtains the target face template with target facial image successful match, and obtains the corresponding target of the target face template
People's information.Above-mentioned camera can be front camera, rear camera or side camera, alternatively, camera can be
Visible image capturing head, infrared camera, wide-angle camera or dual camera etc. are not limited thereto.
Optionally, the electronic equipment includes camera, and above-mentioned steps 11 obtain the target face figure of the target object
Picture, comprising:
111, target environment parameter is obtained；
112, according to the mapping relations between preset environmental parameter and acquisition parameters, the target environment parameter pair is determined
The target acquisition parameters answered；
113, the distance between the camera and the target object are obtained；
114, according to the mapping relations between preset distance and regulation coefficient, the corresponding target of the target range is determined
Regulation coefficient；
115, the target acquisition parameters are adjusted according to the target adjustment coefficient, the mesh after being adjusted
Mark acquisition parameters；
116, the target object is shot according to the target acquisition parameters adjusted, obtains preview image；
117, face segmentation is carried out to the preview image, obtains target facial image.
Wherein, environmental parameter can be following at least one: ambient brightness, environment colour temperature, geographical location, humidity, temperature,
Environment light source quantity, environment light source type (incandescent light source, LED light source etc.), environmental background (sea, desert etc.) etc.
Deng being not limited thereto.Acquisition parameters can be following at least one: sensitivity, aperture size, exposure time, focal length, object distance
Etc., it is not limited thereto.
In the specific implementation, the available target environment parameter of electronic equipment, can also be stored in advance in electronic equipment according to
Mapping relations between preset environmental parameter and acquisition parameters in turn can be according to preset environmental parameter and acquisition parameters
Between mapping relations, determine the corresponding target acquisition parameters of target environment parameter, camera and target object can also be obtained
The distance between, it can be realized by camera or distance measuring sensor, preset ring can also be stored in advance in electronic equipment
Mapping relations between border parameter and acquisition parameters can close in turn according to the mapping between preset distance and regulation coefficient
System, determines the corresponding target adjustment coefficient of target range, further, according to target adjustment coefficient to the target acquisition parameters
It is adjusted, the target acquisition parameters after being adjusted, for example, target adjusted acquisition parameters=target adjustment coefficient * mesh
Acquisition parameters are marked, alternatively, the +/- target adjustment coefficient of target adjusted acquisition parameters=target acquisition parameters, then, Ke Yiyi
The target object is shot according to target acquisition parameters adjusted, obtains preview image, and people is carried out to preview image
Face segmentation, obtains target facial image.
Optionally, between above-mentioned steps 12 and step 13, can also include the following steps:
A1, the target iris image for obtaining the target object；
A2, image quality evaluation is carried out to the target iris image, obtains objective image quality evaluation of estimate；
A3, when objective image quality evaluation of estimate is in preset range, according to preset image quality evaluation values with match
Mapping relations between threshold value determine the corresponding object matching threshold value of the objective image quality evaluation of estimate；
A4, contours extract is carried out to the target iris image, obtains the first circumference；
A5, feature point extraction is carried out to the target iris image, obtains fisrt feature point set；
A6, the second periphery of first circumference registration iris templates corresponding with the target face template is taken turns
Exterior feature is matched, and the first matching value is obtained；
A7, the fisrt feature point set is matched with the second feature point set of the registration iris templates, obtains the
Two matching values；
A8, object matching value is determined according to first matching value, second matching value；
A9, when the object matching value is greater than the object matching threshold value, execute and described obtain the target face mould
The step of plate corresponding target personal information.
Wherein, the corresponding registration iris templates of default face template, each face mould can be stored in advance in electronic equipment
Plate can correspond to a corresponding iris templates, and during iris recognition, success or not is heavily dependent on iris figure
Image quality amount, therefore, in the embodiment of the present application, above-mentioned preset range can be by user's self-setting or system default, in target
When image quality evaluation values are not at preset range, it may be considered that iris image quality is poor, then subsequent step can not be executed
Suddenly, and when objective image quality evaluation of estimate is in preset range, then illustrate that the quality of iris image can be said to be okay, it may be considered that
Dynamic Matching threshold value, even high-quality, then matching threshold then can be improved, of poor quality, then matching threshold can reduce, due to dark
Under visual environment, the image of shooting may not picture quality it is good, therefore, can suitably adjust matching threshold.
Further, the mapping that can store in electronic equipment between preset image quality evaluation values and matching threshold is closed
System, in turn, determines the corresponding object matching threshold value of objective image quality evaluation of estimate according to the mapping relations, on this basis, electricity
Sub- equipment carries out contours extract to target iris image, obtains the first circumference, carries out characteristic point to target iris image and mentions
It takes, obtains fisrt feature point set, by the second periphery of the first circumference registration iris templates corresponding with target face template
Profile is matched, and the first matching value is obtained, by the second feature point set progress of fisrt feature point set and registration iris templates
Match, obtain the second matching value, in turn, object matching value is determined according to the first matching value, the second matching value, for example, electronic equipment
In mapping relations between environmental parameter and weighted value pair can be stored in advance, obtain the first matching value corresponding first weight system
Several and corresponding second weight coefficient of the second matching value, object matching value=first the first weight coefficient+the second of matching value *
The second weight coefficient of matching value *, finally, confirming target iris image when object matching value is greater than the object matching threshold value
With the registration iris templates successful match, otherwise, confirmation iris recognition failure, in this way, dynamic regulation iris matching process, has
Conducive to different environment is directed to, the corresponding weight coefficient of matching value is adjusted, helps to promote iris recognition efficiency.Certainly, ancestor
Face identification, then iris recognition are able to ascend identification precision.
In addition, the algorithm of contours extract can be following at least one: Hough transformation, canny operator etc. are not done herein
Limit, the algorithm of feature point extraction can be following at least one: Harris angle point, SURF algorithm, scale invariant feature extract
(scale invariant feature transform, SIFT) etc. is converted, it is not limited here.
In the specific implementation, picture quality can be carried out to target iris image using at least one image quality evaluation index
Evaluation, obtains objective image quality evaluation of estimate.Wherein, image quality evaluation index may include, but are not limited to: average gray,
Variance, comentropy, edge conservation degree, signal-to-noise ratio etc., are not limited thereto.
102, according to the target personal information, the target training strategies of the target object are determined.
Wherein, the mapping relations between personal information and training strategies, in turn, foundation can be stored in advance in electronic equipment
The mapping relations can determine the target training strategies of the corresponding target object of target personal information.Different personal information can be with
Different training strategies are obtained, can pointedly realize training in this way, help to promote training efficiency.Specific training strategies
It can preset, then be adjusted according to personal information, training strategies adjusted in this way are more suitable user.Target training
Instruction strategy may include following at least one: when online training course name, training teacher's list, planology, classroom number, attend class
Time etc. is not limited thereto.
Optionally, the target personal information includes: target educational background, target profession and target operation experience；Above-mentioned steps
102, according to the target personal information, determines the target training strategies of the target object, may include steps of:
21, according to the mapping relations between educational background and training course collection, corresponding first training of the target educational background is determined
Course collection；
22, according to the mapping relations between profession and training course collection, corresponding second training of the target profession is determined
Course collection；
23, it determines the intersection between the first training course collection and the second training course collection, obtains intersection training
Course collection；
24, the intersection training course collection is screened according to target operation experience, obtains target training course
Collection；
25, according to target educational background training corresponding with the target operation experience determination target training course collection
Plan information；
26, using the target training course collection and the training program information as the target training strategies.
It wherein, include: target educational background, target profession and target operation through lasting in target personal information, in electronic equipment
It can be stored in advance according to the mapping relations between educational background and training course collection, in turn, reflecting between educational background and training course collection
Relationship is penetrated, the corresponding first training course collection of target educational background is determined, can also be stored in advance in electronic equipment according to profession and training
The mapping relations between course collection are instructed, in turn, determine target profession according to the mapping relations between the profession and training course collection
Corresponding second training course collection determines the intersection between the first training course collection and the second training course collection, obtains intersection training
Instruct course collection, according to target operation experience intersection training course collection is screened, obtain target training course collection, i.e., if there is
Working experience, then can be with preferential recommendation training course relevant to working experience, in turn, can be according to target educational background and target work
Make to undergo and determine the corresponding training program information of target training course collection, using target training course collection and training program information as
Target training strategies.
Still optionally further, above-mentioned steps 25 determine the mesh according to the target educational background and target operation experience
The corresponding training program information of training course collection is marked, may include steps of:
251, obtain refer to training program information, it is described with reference to training program information include planology when and training teacher name
Single collection；
252, according to the mapping relations between optimized coefficients when preset work experience and planology, the target work is determined
Make to undergo corresponding objective optimization coefficient；
253, decision is carried out when according to the objective optimization coefficient, the planology, obtains objective plan class hour；
254, according to the mapping relations between preset educational background and training teacher's list, from training teacher's list set
Determine target training teacher's list.
Wherein, it can pre-save in the electronic device with reference to training program information, can wrap with reference to training program information
When including planology and teacher's list set is trained, training teacher's list set may include multiple training teacher's lists.In electronic equipment
Mapping relations when preset work experience and planology can be stored in advance between optimized coefficients are closed according to the mapping in turn
System can determine that target operation undergoes corresponding objective optimization coefficient, and strategy is carried out when according to objective optimization coefficient and planology,
Objective plan class hour is obtained, when objective plan class hour=objective optimization coefficient * planology, alternatively, objective plan class hour=plan
Class hour-, objective optimization coefficient due to there is working experience can then reduce course, save course resources, can be in electronic equipment
Be stored in advance it is preset educational background training teacher's list between mapping relations, in turn, according to the mapping relations from training teacher
Target training teacher's list is determined in list set.
103, the target object is giveed training according to the target training strategies.
Wherein, after the formulation of target training strategies, then target object can be trained according to the target training strategies
Instruction, for example, can be with recommendation network course, alternatively, user can also be prompted attend class to designated position etc..
Under illustration, target training strategies can be pushed in the display interface of electronic equipment, and when course plays, it can
To record the training image of target object.
Optionally, above-mentioned steps 103, after being giveed training according to the target training strategies to the target object, also
It may include steps of:
B1, in training goal course, the target object is shot, target video is obtained；
B2, the target video is parsed, obtains multiple images；
B3, image segmentation is carried out to multiple described images, obtains multiple human body images；
B4, behavioural analysis is carried out to multiple described human body images, obtains behavior collection, the behavior collection includes multiple behaviors；
B5, it gives a mark according to the behavior collection to the target course, obtains target score；
B6, when the target score is greater than preset fraction, confirm that the target Course Training is qualified, allow access into next
Course learning；
B7, the target score be less than or equal to the preset fraction when, prompt the target object to retrain institute
State target course.
Wherein, above-mentioned preset fraction can be by user's self-setting or system default.Target course can be trained for target
A class journey in instruction strategy, in training goal course, electronic equipment can be shot target object, obtain target view
Frequently, target video is parsed, obtains multiple images, image segmentation is carried out to multiple images, obtains multiple human body images,
Behavioural analysis is carried out to multiple human body images, available behavior collection, behavior collection includes multiple behaviors, in the embodiment of the present application
Behavior can be following at least one: sleep, chat, recording the note, play mobile phone, be abstracted, eating, staring blankly, listening to the teacher, absence etc.
Deng, it being not limited thereto, can specifically preset Activity recognition model, Activity recognition model can be neural network model,
The sample for obtaining various actions in advance, is entered into neural network model, obtains Activity recognition model, then by figure to be identified
As being input in Activity recognition model, available corresponding behavior.In turn, target course can be beaten according to behavior collection
Point, specifically, it can determine that the head office that behavior is concentrated is quantity, subordinate act, which is concentrated, to be filtered out to preset the behavior of behavior, is obtained
At least one goal behavior, by the ratio of the quantity of at least one goal behavior and head office between quantity, as target score,
Above-mentioned default behavior can be to listen to the teacher or record the note etc., when target score is greater than preset fraction, determine that target course is trained
Instruction is qualified, allows access into next course learning, conversely, prompting target object when target score is less than or equal to preset fraction
Retrain target course.
In the specific implementation, the social experience information of personnel is guarded against by the available each society of electronic equipment, social experience information can
Think following at least one: educational background, profession, work experience determine that the study energy of personnel is guarded against by society according to social experience information in turn
Force value and it is good at field, determines training skillset according to field of being good at, determine training course progress according to learning ability value
Or recommendation network course, in turn, specific aim training carrys out specific aim training in this way, can guard against the social experience of personnel according to society
Instruction can quickly allow society to guard against man winding professional skill, better conform to society.
As can be seen that information processing method described in through the embodiment of the present invention, is applied to electronic equipment, it is available
The target personal information of target object determines the target training strategies of target object according to target personal information, trains according to target
Instruction strategy gives target object training, in this way, the social experience for guarding against personnel according to society may be implemented, comes specific aim training, energy
It is enough that society is quickly allowed to guard against man winding professional skill, society is better conformed to, training efficiency is improved.
Consistent with the abovely, referring to Fig. 2, for a kind of second implementation of information processing method provided in an embodiment of the present invention
Example flow diagram.Information processing method as described in this embodiment is applied to electronic equipment, comprising the following steps:
201, the target personal information of target object is obtained.
202, according to the target personal information, the target training strategies of the target object are determined.
203, the target object is giveed training according to the target training strategies.
204, in training goal course, the target object is shot, target video is obtained.
205, the target video is parsed, obtains multiple images.
206, image segmentation is carried out to multiple described images, obtains multiple human body images.
207, behavioural analysis is carried out to multiple described human body images, obtains behavior collection, the behavior collection includes multiple behaviors.
208, it gives a mark according to the behavior collection to the target course, obtains target score.
209, when the target score is greater than preset fraction, confirm that the target Course Training is qualified, allow access into down
One course learning；
210, when the target score is less than or equal to the preset fraction, the target object is prompted to retrain institute
State target course.
Wherein, the step of specific descriptions of above-mentioned steps 201- step 210 can refer to information processing method described in Fig. 1
101- step 103, details are not described herein.
As can be seen that information processing method described in through the embodiment of the present invention, is applied to electronic equipment, it is available
The target personal information of target object determines the target training strategies of target object according to target personal information, trains according to target
Instruction strategy gives target object training, in training goal course, shoots to target object, obtains target video, right
Target video is parsed, multiple images are obtained, and is carried out image segmentation to multiple images, multiple human body images is obtained, to multiple
Human body image carries out behavioural analysis, obtains behavior collection, and behavior collection includes multiple behaviors, beats according to behavior collection target course
Point, target score is obtained, when target score is greater than preset fraction, confirmation target Course Training is qualified, allows access into next class
Journey study prompts target object to retrain target course, in this way, not only when target score is less than or equal to preset fraction
The social experience for guarding against personnel according to society may be implemented, carry out specific aim training, the quality of each class journey can also be evaluated,
It can guarantee training quality, in turn, can quickly allow society to guard against man winding professional skill, better conform to society, improve training
Efficiency.
Consistently with above-described embodiment, referring to Fig. 3, Fig. 3 is the knot of a kind of electronic equipment provided by the embodiments of the present application
Structure schematic diagram, as shown, the electronic equipment includes processor, memory, communication interface and one or more program,
In, said one or multiple programs are stored in above-mentioned memory, and are configured to be executed by above-mentioned processor, and the application is real
It applies in example, above procedure includes the instruction for executing following steps:
Obtain the target personal information of target object；
According to the target personal information, the target training strategies of the target object are determined；
The target object is giveed training according to the target training strategies.
As can be seen that described electronic equipment, the target of available target object are personal through the embodiment of the present invention
Information determines the target training strategies of target object according to target personal information, according to target training strategies to target object into
Row training carrys out specific aim training in this way, the social experience for guarding against personnel according to society may be implemented, and can quickly allow society to guard against personnel and mention
Professional skill is risen, society is better conformed to, improves training efficiency.
Optionally, in terms of the target personal information for obtaining target object, above procedure includes following for executing
The instruction of step:
Obtain the target facial image of the target object；
The target facial image is input in presetting database and is scanned for, is obtained and the target facial image
With successful target face template；
Obtain the corresponding target personal information of the target face template.
Optionally, the target personal information includes: target educational background, target profession and target operation experience；
Described according to the target personal information, in terms of the target training strategies for determining the target object, above-mentioned journey
Sequence includes the instruction for executing following steps:
According to the mapping relations between educational background and training course collection, corresponding first training course of the target educational background is determined
Collection；
According to the mapping relations between profession and training course collection, corresponding second training course of the target profession is determined
Collection；
It determines the intersection between the first training course collection and the second training course collection, obtains intersection training course
Collection；
The intersection training course collection is screened according to target operation experience, obtains target training course collection；
The corresponding training meter of the target training course collection is determined according to the target educational background and target operation experience
Draw information；
Using the target training course collection and the training program information as the target training strategies.
Optionally, the target training course collection is determined according to the target educational background and target operation experience described
Corresponding training program message context, above procedure include the instruction for executing following steps:
Obtain refer to training program information, it is described with reference to training program information include planology when and training teacher's list
Collection；
According to the mapping relations between optimized coefficients when preset work experience and planology, the target operation warp is determined
Go through corresponding objective optimization coefficient；
Decision is carried out when according to the objective optimization coefficient, the planology, obtains objective plan class hour；
According to the mapping relations between preset educational background and training teacher's list, determined from training teacher's list set
Target training teacher list out.
Optionally, it is described the target object is giveed training according to the target training strategies after, above procedure
Further include the instruction for executing following steps:
In training goal course, the target object is shot, target video is obtained；
The target video is parsed, multiple images are obtained；
Image segmentation is carried out to multiple described images, obtains multiple human body images；
Behavioural analysis is carried out to multiple described human body images, obtains behavior collection, the behavior collection includes multiple behaviors；
It gives a mark according to the behavior collection to the target course, obtains target score；
When the target score is greater than preset fraction, confirms that the target Course Training is qualified, allow access into next class
Journey study；
When the target score is less than or equal to the preset fraction, the target object is prompted to retrain the mesh
Mark course.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that
, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software mould for electronic equipment
Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, the specific application and design constraint item depending on technical solution
Part.Professional technician can specifically realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to electronic equipment, for example, can
With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit
In.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
Consistent with the abovely, specific as follows the following are the device for implementing above- mentioned information processing method:
Fig. 4 A is please referred to, is a kind of first embodiment structural representation of information processing unit provided in an embodiment of the present invention
Figure.Information processing unit 400 as described in this embodiment is applied to electronic equipment, and described device 400 includes: acquiring unit
401, determination unit 402 and training module 403, wherein
The acquiring unit 401, for obtaining the target personal information of target object；
The determination unit 402, for determining the target training plan of the target object according to the target personal information
Slightly；
The training module 403, for being giveed training according to the target training strategies to the target object.
As can be seen that information processing unit described in through the embodiment of the present invention, is applied to electronic equipment, it is available
The target personal information of target object determines the target training strategies of target object according to target personal information, trains according to target
Instruction strategy gives target object training, in this way, the social experience for guarding against personnel according to society may be implemented, comes specific aim training, energy
It is enough that society is quickly allowed to guard against man winding professional skill, society is better conformed to, training efficiency is improved.
Optionally, in terms of the target personal information for obtaining target object, the acquiring unit 401 is specifically used for:
Obtain the target facial image of the target object；
The target facial image is input in presetting database and is scanned for, is obtained and the target facial image
With successful target face template；
Obtain the corresponding target personal information of the target face template.
Optionally, the target personal information includes: target educational background, target profession and target operation experience；
It is described true in terms of the target training strategies for determining the target object described according to the target personal information
Order member 402 is specifically used for:
According to the mapping relations between educational background and training course collection, corresponding first training course of the target educational background is determined
Collection；
According to the mapping relations between profession and training course collection, corresponding second training course of the target profession is determined
Collection；
It determines the intersection between the first training course collection and the second training course collection, obtains intersection training course
Collection；
The intersection training course collection is screened according to target operation experience, obtains target training course collection；
The corresponding training meter of the target training course collection is determined according to the target educational background and target operation experience
Draw information；
Using the target training course collection and the training program information as the target training strategies.
Optionally, the target training course collection is determined according to the target educational background and target operation experience described
Corresponding training program message context, the determination unit 402 are specifically used for:
Obtain refer to training program information, it is described with reference to training program information include planology when and training teacher's list
Collection；
According to the mapping relations between optimized coefficients when preset work experience and planology, the target operation warp is determined
Go through corresponding objective optimization coefficient；
Decision is carried out when according to the objective optimization coefficient, the planology, obtains objective plan class hour；
According to the mapping relations between preset educational background and training teacher's list, determined from training teacher's list set
Target training teacher list out.
Optionally, such as Fig. 4 B, Fig. 4 B is the another modification structures of information processing unit described in Fig. 4 A, with Fig. 4 A
It compares, can also include: shooting unit 404, resolution unit 405, cutting unit 406, analytical unit 407 and evaluation unit
408, specific as follows:
Shooting unit 404, for being shot to the target object, obtaining target video in training goal course；
Resolution unit 405 obtains multiple images for parsing to the target video；
Cutting unit 406 obtains multiple human body images for carrying out image segmentation to multiple described images；
Analytical unit 407 obtains behavior collection, the behavior collection for carrying out behavioural analysis to multiple described human body images
Including multiple behaviors；
Evaluation unit 408 obtains target score for giving a mark according to the behavior collection to the target course；In
When the target score is greater than preset fraction, confirms that the target Course Training is qualified, allow access into next course learning；And
When the target score is less than or equal to the preset fraction, the target object is prompted to retrain the target course.
It is understood that the function of each program module of the information processing unit of the present embodiment can be according to above method reality
The method specific implementation in example is applied, specific implementation process is referred to the associated description of above method embodiment, herein no longer
It repeats.
The embodiment of the present invention also provides a kind of computer storage medium, wherein the computer storage medium can be stored with journey
Sequence, the program include some or all of any information processing method recorded in above method embodiment step when executing
Suddenly.
Although combining each embodiment herein, invention has been described, however, implementing the claimed invention
In the process, those skilled in the art are by checking the attached drawing, disclosure and the appended claims, it will be appreciated that and it is real
Other variations of the existing open embodiment.In the claims, " comprising " (comprising) word is not excluded for other compositions
Part or step, "a" or "an" are not excluded for multiple situations.Claim may be implemented in single processor or other units
In several functions enumerating.Mutually different has been recited in mutually different dependent certain measures, it is not intended that these are arranged
It applies to combine and generates good effect.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the present invention
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.Computer program is stored/distributed in suitable medium, is provided together with other hardware or as the one of hardware
Part can also use other distribution forms, such as pass through the wired or wireless telecommunication system of Internet or other.
The present invention be referring to the embodiment of the present invention method, apparatus (equipment) and computer program product flow chart with/
Or block diagram describes.It should be understood that each process that can be realized by computer program instructions in flowchart and/or the block diagram and/
Or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer program instructions
To general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor to generate one
A machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although in conjunction with specific features and embodiment, invention has been described, it is clear that, do not departing from this hair
In the case where bright spirit and scope, it can be carry out various modifications and is combined.Correspondingly, the specification and drawings are only institute
The exemplary illustration of the invention that attached claim is defined, and be considered as covered in the scope of the invention any and all and repair
Change, change, combining or equivalent.Obviously, those skilled in the art various changes and modifications can be made to the invention without
It is detached from the spirit and scope of the present invention.If in this way, these modifications and changes of the present invention belong to the claims in the present invention and its
Within the scope of equivalent technologies, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of information processing method, which is characterized in that be applied to electronic equipment, comprising:
Obtain the target personal information of target object；
According to the target personal information, the target training strategies of the target object are determined；
The target object is giveed training according to the target training strategies.
2. the method according to claim 1, wherein the target personal information for obtaining target object, comprising:
Obtain the target facial image of the target object；
The target facial image is input in presetting database and is scanned for, obtains matching into the target facial image
The target face template of function；
Obtain the corresponding target personal information of the target face template.
3. method according to claim 1 or 2, which is characterized in that the target personal information includes: target educational background, mesh
Mark profession and target operation experience；
It is described according to the target personal information, determine the target training strategies of the target object, comprising:
According to the mapping relations between educational background and training course collection, the corresponding first training course collection of the target educational background is determined；
According to the mapping relations between profession and training course collection, the corresponding second training course collection of the target profession is determined；
It determines the intersection between the first training course collection and the second training course collection, obtains intersection training course collection；
The intersection training course collection is screened according to target operation experience, obtains target training course collection；
The corresponding training program letter of the target training course collection is determined according to the target educational background and target operation experience
Breath；
Using the target training course collection and the training program information as the target training strategies.
4. according to the method described in claim 3, it is characterized in that, described pass through according to the target educational background and the target operation
It goes through and determines the corresponding training program information of the target training course collection, comprising:
Obtain refer to training program information, it is described with reference to training program information include planology when and training teacher's list set；
According to the mapping relations between optimized coefficients when preset work experience and planology, the target operation experience pair is determined
The objective optimization coefficient answered；
Decision is carried out when according to the objective optimization coefficient, the planology, obtains objective plan class hour；
According to the mapping relations between preset educational background and training teacher's list, mesh is determined from training teacher's list set
Mark training teacher's list.
5. method according to claim 1-4, which is characterized in that described according to the target training strategies pair
After the target object gives training, the method also includes:
In training goal course, the target object is shot, target video is obtained；
The target video is parsed, multiple images are obtained；
Image segmentation is carried out to multiple described images, obtains multiple human body images；
Behavioural analysis is carried out to multiple described human body images, obtains behavior collection, the behavior collection includes multiple behaviors；
It gives a mark according to the behavior collection to the target course, obtains target score；
When the target score is greater than preset fraction, confirms that the target Course Training is qualified, allow access into next course
It practises；
When the target score is less than or equal to the preset fraction, the target object is prompted to retrain the target class
Journey.
6. a kind of information processing unit, which is characterized in that be applied to electronic equipment, described device includes: acquiring unit, determines list
Member and training module, wherein
The acquiring unit, for obtaining the target personal information of target object；
The determination unit, for determining the target training strategies of the target object according to the target personal information；
The training module, for being giveed training according to the target training strategies to the target object.
7. device according to claim 6, which is characterized in that in the target personal information side for obtaining target object
Face, the acquiring unit are specifically used for:
Obtain the target facial image of the target object；
The target facial image is input in presetting database and is scanned for, obtains matching into the target facial image
The target face template of function；
Obtain the corresponding target personal information of the target face template.
8. device according to claim 6 or 7, which is characterized in that the target personal information includes: target educational background, mesh
Mark profession and target operation experience；
It is described determining single in terms of the target training strategies for determining the target object described according to the target personal information
Member is specifically used for:
According to the mapping relations between educational background and training course collection, the corresponding first training course collection of the target educational background is determined；
According to the mapping relations between profession and training course collection, the corresponding second training course collection of the target profession is determined；
It determines the intersection between the first training course collection and the second training course collection, obtains intersection training course collection；
The intersection training course collection is screened according to target operation experience, obtains target training course collection；
The corresponding training program letter of the target training course collection is determined according to the target educational background and target operation experience
Breath；
Using the target training course collection and the training program information as the target training strategies.
9. a kind of electronic equipment, which is characterized in that including processor, memory, the memory is for storing one or more
Program, and be configured to be executed by the processor, described program includes as described in any one in claim 1-5 for executing
The instruction of step in method.
10. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute the method according to claim 1 to 5.
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