CN106919924A - A kind of mood analysis system based on the identification of people face - Google Patents
A kind of mood analysis system based on the identification of people face Download PDFInfo
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- CN106919924A CN106919924A CN201710130181.3A CN201710130181A CN106919924A CN 106919924 A CN106919924 A CN 106919924A CN 201710130181 A CN201710130181 A CN 201710130181A CN 106919924 A CN106919924 A CN 106919924A
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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
- G06V40/174—Facial expression recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Abstract
The present invention provides a kind of mood analysis system based on the identification of people face, it includes image capture module, color analysis module, pixels statisticses module, characteristic point analysis module, MBM, database, mood analysis module and big data processing module, learner is shot by software systems, and aid in carrying out Treatment Analysis to image by the webserver, set up micro- expression shape change and behavior dynamic of people surface model analytic learning person, so as to analyze the emotional change of reference object, the present invention has the advantages that analysis is accurate and corresponding speed is fast.
Description
Technical field
The invention belongs to intelligence software technical field, more particularly to a kind of mood analysis system based on the identification of people face.
Background technology
Emotional ability is the important symbol of human intelligence, and affection computation machine technology is that harmonious man-machine interaction is led with artificial intelligence
New research direction in domain is also that mathematics, information science, intelligence science, Neuscience and physiology, psychic science etc. to be learned
The new binding site that section intersects, is to set up one of natural harmony, the basic theory of friendly intelligent man-machine environment and technology, it is intended to logical
The ability of the emotion for assigning computer system identification, understanding, expression and adapting to people is crossed to set up harmonious man-machine environment.
Recognition of face, is that the facial feature information based on people carries out a kind of biological identification technology of identification.With shooting
Machine or camera image or video flowing of the collection containing face, and automatic detect and track face in the picture, and then to detection
To face carry out a series of correlation techniques of face, generally also referred to as Identification of Images, face recognition.
Micro- expression, is psychology noun.People see heart impression expression to other side by doing some expressions, are done in people
Different expressions between, or in certain expression, face's meeting " leakage " goes out other information." micro- expression " is most short by sustainable 1/25
Second, although a subconscious expression may be only lasted in a flash, but this characteristic, it is easy to expose mood.When face is doing
During certain expression, these duration extremely short expression can flash across suddenly, and express opposite mood sometimes." micro- table
Feelings " flash across, and the people and observer that typically even clear-headed work is expressed one's feelings are detectable.In experiment, only 10% people examines
Feel.Compared with it is intended to know the expression made, " micro- expression " can more embody people really impression and motivation, be known by people face
The change of human emotion can not be further analyzed in conjunction with micro- expression and psychological knowledge.
The content of the invention
Based on there is above mentioned problem, the present invention provides a kind of mood analysis system based on the identification of people face, and it includes image
Acquisition module, color analysis module, pixels statisticses module, characteristic point analysis module, MBM, database, mood analysis mould
Block and big data processing module, are shot by software systems to learner, and aid in entering image by the webserver
Row Treatment Analysis, set up micro- expression shape change and behavior dynamic of people surface model analytic learning person, so as to analyze reference object
Emotional change, the present invention has the advantages that analysis is accurate and corresponding speed is fast.
A kind of mood analysis system based on the identification of people face, it includes image capture module, color analysis module, pixel system
Meter module, characteristic point analysis module, MBM, database, mood analysis module and big data processing module；
Image capture module is connected to capture apparatus, and portrait is shot by capture apparatus, and according to color analysis module
Information feedback control capture apparatus adjustment shooting angle and shooting focal length, to shoot optimized image；
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face
Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system
Meter module；
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature
Data carry out the identification of pixels statisticses people face to image pixel；
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis
Analysis, definition people's region feature point；
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model
Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position
Move；
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and
Psychological behavioral Characteristic analyzes the change of personage's mood and mood；
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite
Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result.
Wherein, described mood analysis module includes micro- Expression analysis module and behavioural analysis module.
Wherein, described database includes people's region feature database, micro- expressive features database and Psychological behavioral Characteristic number
According to storehouse.
Wherein, described image capture module includes still image acquisition module and dynamic image acquisition module, static map
As the still image in acquisition module collection people face, the dynamic image in dynamic image acquisition module collection people face.
Wherein, described database includes local data base and internet data storehouse.
Specific embodiment
With reference to specific embodiment, the invention will be further described.
A kind of mood analysis system based on the identification of people face, it includes image capture module, color analysis module, pixel system
Meter module, characteristic point analysis module, MBM, database, mood analysis module and big data processing module；
Image capture module is connected to capture apparatus, and portrait is shot by capture apparatus, and according to color analysis module
Information feedback control capture apparatus adjustment shooting angle and shooting focal length, to shoot optimized image；
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face
Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system
Meter module；
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature
Data carry out the identification of pixels statisticses people face to image pixel；
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis
Analysis, definition people's region feature point；
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model
Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position
Move；
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and
Psychological behavioral Characteristic analyzes the change of personage's mood and mood；
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite
Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result.
As the presently preferred embodiments, described mood analysis module includes micro- Expression analysis module and behavioural analysis module.
As the presently preferred embodiments, described database includes people's region feature database, micro- expressive features database and psychology
Behavioral characteristic database.
As the presently preferred embodiments, described image capture module includes still image acquisition module and dynamic image acquisition mould
Block, the still image in still image acquisition module collection people face, the dynamic image in dynamic image acquisition module collection people face.
As the presently preferred embodiments, described database includes local data base and internet data storehouse.
Embodiment described above only expresses one embodiment of the present invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Shield scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (5)
1. it is a kind of based on people face identification mood analysis system, it is characterised in that it includes image capture module, color analysis mould
Block, pixels statisticses module, characteristic point analysis module, MBM, database, mood analysis module and big data processing module；
Image capture module is connected to capture apparatus, and portrait is shot by capture apparatus, and according to color analysis module
Information feedback control capture apparatus adjustment shooting angle and shooting focal length, to shoot optimized image；
Color analysis module receives the image that is collected of image capture module, analyzes the color parameter of image, according to image face
Color change judges the scope in people face, people face position is fed back into image analysis module and people face positional information is sent into pixel system
Meter module；
Pixelation is carried out after the positional information of pixels statisticses module recipient face to people face location drawing picture, with reference to database people's region feature
Data carry out the identification of pixels statisticses people face to image pixel；
Characteristic point analysis module is divided according to micro- expressive features in the people face result combination database of pixels statisticses module analysis
Analysis, definition people's region feature point；
The analysis result of pixels statisticses module and characteristic point analysis module is combined generation people's surface model by MBM, and in model
Upper feature point for calibration, according to the real-time analysis and regulation characteristic point position of characteristic point analysis module, recording feature point change in location position
Move；
Mood analysis module more changes displacement according to the characteristic point position on people's surface model, call micro- expressive features in database and
Psychological behavioral Characteristic analyzes the change of personage's mood and mood；
Big data processing module is connected to Internet Server, gathers internet data and assists color analysis module, pixel to unite
Meter module and characteristic point analysis module carry out corresponding big data analytical calculation, and storehouse information is updated the data according to analysis result.
2. the mood analysis system based on the identification of people face according to claim 1, it is characterised in that described mood analysis
Module includes micro- Expression analysis module and behavioural analysis module.
3. it is according to claim 1 based on people face identification mood analysis system, it is characterised in that described database bag
Include people's region feature database, micro- expressive features database and Psychological behavioral Characteristic database.
4. it is according to claim 1 based on people face identification mood analysis system, it is characterised in that described IMAQ
Module includes still image acquisition module and dynamic image acquisition module, the static map in still image acquisition module collection people face
Picture, the dynamic image in dynamic image acquisition module collection people face.
5. it is according to claim 1 based on people face identification mood analysis system, it is characterised in that described database bag
Include local data base and internet data storehouse.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108577866A (en) * | 2018-04-03 | 2018-09-28 | 中国地质大学（武汉） | A kind of system and method for multidimensional emotion recognition and alleviation |
| CN109830280A (en) * | 2018-12-18 | 2019-05-31 | 深圳壹账通智能科技有限公司 | Psychological aided analysis method, device, computer equipment and storage medium |
| CN112487904A (en) * | 2020-11-23 | 2021-03-12 | 成都尽知致远科技有限公司 | Video image processing method and system based on big data analysis |
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| CN104077579A (en) * | 2014-07-14 | 2014-10-01 | 上海工程技术大学 | Facial expression image recognition method based on expert system |
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| CN103488293A (en) * | 2013-09-12 | 2014-01-01 | 北京航空航天大学 | Man-machine motion interaction system and method based on expression recognition |
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| CN108577866A (en) * | 2018-04-03 | 2018-09-28 | 中国地质大学（武汉） | A kind of system and method for multidimensional emotion recognition and alleviation |
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Application publication date: 20170704 |