CN105338183A - People recognition prompting system and method based on mobile terminal - Google Patents
People recognition prompting system and method based on mobile terminal Download PDFInfo
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- CN105338183A CN105338183A CN201510705058.0A CN201510705058A CN105338183A CN 105338183 A CN105338183 A CN 105338183A CN 201510705058 A CN201510705058 A CN 201510705058A CN 105338183 A CN105338183 A CN 105338183A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G06F18/22—Matching criteria, e.g. proximity measures
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Abstract
The invention provides a people recognition prompting system and a people recognition prompting method based on a mobile terminal. The people recognition prompting system comprises a people database, an image acquiring unit, an image analyzing unit and a voice prompting unit, wherein the people database is used for storing pictures of people and people's information corresponding to the pictures; the image acquiring unit is used for acquiring image data of people when shooting pictures of people; the image analyzing unit is used for subjecting the image data of people acquired by the image acquiring unit and the pictures of people in the people database to feature comparison so as to judge whether the image data of people is matched with the stored pictures of people, and outputting people prompting information containing people information corresponding to the pictures of people when judging that a picture of people matched with the image data of people exists in the people database; and the voice prompting unit is used for outputting the people prompting information output by the image analyzing unit in the form of voice. According to the people recognition prompting system and the people recognition prompting method, the corresponding people prompting information is output to users through portrait recognition, so that the users can communicated with each other quickly, accurately and deftly, thereby creating good communication atmosphere.
Description
Technical field
The invention belongs to areas of information technology, particularly relate to a kind of person recognition system for prompting based on mobile terminal and method.
Background technology
Generally, in public social life (such as cocktail party, birthday party or wedding feast etc.), have a lot of people to participate in, and this time, you can see a lot of people, in these people, some you be acquaintance originally, in other words, you are defaulted as and understand the other side, know exactly the name of the other side and background context (such as: work unit, position, with other people associate).This just requires that you are before the similar party of participation, do a large amount of preliminary preparations, see a lot of photos, see that photo is remembered name and will remember the background context of people in photo.This process is very tiring, and man memory is not too reliable, such as can forget, can misremember etc., at this time will produce some embarrassments, therefore may also lose business opportunity.
Summary of the invention
The object of the present invention is to provide a kind of person recognition system for prompting based on mobile terminal, to solve, to remember a large amount of personage and background context workload by user in prior art large and be easy to problems such as makeing mistakes.
The present invention provides a kind of person recognition system for prompting based on mobile terminal on the one hand, comprising: figure database, is located in mobile terminal, for storing portrait photographs and the people information corresponding with described portrait photographs, image capture unit, is connected with described mobile terminal radio communication, for taking personage to absorb character image data, image analyzing unit, to be located in mobile terminal and to be connected with described image capture unit and described figure database, for the described character image data of described image capture unit picked-up and the portrait photographs in described figure database being carried out aspect ratio to judge whether the described character image data absorbed match with the portrait photographs of storage, and when judging to obtain having the portrait photographs with the described character image data match absorbed in described figure database, output packet contains personage's prompting message of the people information corresponding with described portrait photographs, and voice reminder unit, is connected with described mobile terminal radio communication, exports with voice mode for the personage's prompting message exported by described image analyzing unit.
Preferably, described person recognition system for prompting also comprises the people information edit cell be connected with described figure database, for editing corresponding people information to portrait photographs and storing in portrait photographs and the people information corresponding with described portrait photographs to described figure database.
Preferably, described image capture unit is provided with trigger button, carries out personage's shooting for triggering described image capture unit.
Preferably, described image capture unit comprises Bluetooth camera machine or bluetooth camera.
Preferably, described voice reminder unit comprises bluetooth earphone.
The present invention provides a kind of person recognition based reminding method based on mobile terminal on the other hand, it is characterized in that, comprising: personage is to absorb character image data in shooting; The portrait photographs prestored in described character image data and the mobile terminal of picked-up is carried out aspect ratio to judge whether the described character image data absorbed match with the portrait photographs of storage, and when judging the portrait photographs had in the terminal with the described character image data match absorbed, output packet contains personage's prompting message of the people information corresponding with described portrait photographs; And the described personage's prompting message including the people information corresponding with described portrait photographs is exported with voice mode.
Preferably, described character image data comprise the photo taken by camera or the sectional drawing done the image taken by video camera.
Preferably, described person recognition based reminding method also comprises: edit corresponding people information to portrait photographs in advance and portrait photographs and the people information corresponding with described portrait photographs be stored in mobile terminal.
Preferably, described person recognition based reminding method also comprises: when judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, and output packet contains that there is no evidence of this person or personage in these character image data is personage's prompting message of new person.
Preferably, described person recognition based reminding method also comprises: when judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, editing corresponding people information and stored the personage in described character image data.
Person recognition system for prompting based on mobile terminal provided by the invention and method, by taking personage at the scene to absorb character image data, by the character image data of picked-up and the portrait photographs prestored are carried out aspect ratio pair, when judging to obtain having the portrait photographs with the character image data match absorbed in figure database, output packet contains personage's prompting message of the people information corresponding with described portrait photographs with reminding user, make user can learn on-the-spot personnel and personage's background thereof in the very first time, avoid errors such as forgeing or misremember, be conducive to fast, accurately and expertly carry out mutual interchange, build good communication atmosphere, promote the experience of user.
Accompanying drawing explanation
Fig. 1 is the person recognition system for prompting system block diagram in one embodiment that the present invention is based on mobile terminal.
Fig. 2 is the person recognition based reminding method schematic flow sheet in one embodiment that the present invention is based on mobile terminal.
Element numbers illustrates:
11 figure databases
13 people information edit cells
15 image capture unit
17 image analyzing units
19 voice reminder unit
S201 ~ S209 step
Embodiment
Below by way of particular specific embodiment, embodiments of the present invention are described, those skilled in the art the content disclosed by this specification can understand other advantages of the present invention and effect easily.The present invention can also be implemented or be applied by embodiments different in addition, and the every details in this specification also can based on different viewpoints and application, carries out various modification or change not deviating under spirit of the present invention.
It should be noted that, structure, ratio, size etc. that this specification institute accompanying drawings illustrates, content all only in order to coordinate specification to disclose, understand for person skilled in the art scholar and read, and be not used to limit the enforceable qualifications of the present invention, therefore the not technical essential meaning of tool, the adjustment of the modification of any structure, the change of proportionate relationship or size, do not affecting under effect that the present invention can produce and the object that can reach, still all should drop on disclosed technology contents and obtain in the scope that can contain.Simultaneously, quote in this specification as " on ", D score, "left", "right", " centre " and " one " etc. term, also only for ease of understanding of describing, and be not used to limit the enforceable scope of the present invention, the change of its relativeness or adjustment, under changing technology contents without essence, when being also considered as the enforceable category of the present invention.
Refer to Fig. 1, show the person recognition system for prompting system block diagram in one embodiment that the present invention is based on mobile terminal.As shown in Figure 1, the person recognition system for prompting 1 that the present invention is based on mobile terminal comprises: figure database 11, people information edit cell 13, image capture unit 15, image analyzing unit 17 and voice reminder unit 19.In the present embodiment, mobile terminal is preferably smart mobile phone the most frequently used now, but not as limit, such as panel computer, notebook computer etc. are also applicable.
Below each assembly above-mentioned is described in detail.
Figure database 11 is located in mobile terminal, for storing portrait photographs and the people information corresponding with described portrait photographs.In the present embodiment, the front that portrait photographs preferably takes one's hat off, according to (face feature of personage all can be comprised), is preferably certificate photo or the photograph of the personage under regular occasion.The people information corresponding with portrait photographs then can comprise user think for the interested various information of the party in this portrait photographs, such as work unit, position, with other people associate, family status, hobby etc.
People information edit cell 13, is connected with figure database 11, for editing corresponding people information to portrait photographs and by portrait photographs and the people information corresponding with described portrait photographs.As previously mentioned, realize object of the present invention, need 11 storage portrait photographs and corresponding people information in figure database, therefore, carrying out editor for the data in figure database 11 has just needed by means of people information edit cell 13.In fact, for people information edit cell 13, its can in figure database 11 newly-built new people information or the people information be present in figure database 11 is edited again.Newly-built new people information comprises following content: choosing portrait photographs, repairing figure, editor's people information etc. to choosing portrait photographs.The people information be present in figure database 11 is edited again, comprising: increase, delete or change people information, change portrait photographs etc.
Image capture unit 15, is connected with mobile terminal radio communication, for taking personage to absorb character image data.In the present embodiment, image capture unit 15 comprises Bluetooth camera machine or bluetooth camera, that is: take pictures to obtain character image data facing to personage by bluetooth camera, or, again sectional drawing is carried out to the image of picked-up by Bluetooth camera machine facing to personage's shooting and obtain character image data.In actual applications; can be independent device as the Bluetooth camera machine of image capture unit 15 or bluetooth camera; also can be and other mate (such as: Bluetooth camera machine or bluetooth camera configuration are on glasses, wrist-watch, necktie or brooch), occur with as far as possible natural kenel and unlikely cause lofty or awkward.Preferably, image capture unit 15 is also provided with trigger button, carries out personage's shooting for trigger image picked-up unit 15.
Image analyzing unit 17, to be located in mobile terminal and to be connected with image capture unit 15 and figure database 11, aspect ratio is carried out to judge whether the described character image data absorbed match with the portrait photographs stored for the portrait photographs in the character image data absorbed by image capture unit 15 and figure database 11, and when judging to obtain having the portrait photographs with the described character image data match absorbed in figure database 11, output packet contains personage's prompting message of the people information corresponding with described portrait photographs.In the present embodiment, image analyzing unit 17 is mainly used in being Identification of Images, Identification of Images roughly flow process comprises: first, carries out Face datection to the personage in described character image data, and namely in described character image data, accurate calibration goes out position and the size of face.The pattern feature comprised in facial image is very abundant, as histogram feature, color characteristic, template characteristic, architectural feature and Haar feature etc.Face datection is exactly that this wherein useful information is picked out, and utilizes these features to realize Face datection.Then, carry out facial image preliminary treatment: the original image of acquisition, owing to being subject to restriction and the random disturbances of various condition, often can not directly use, and must carry out the Image semantic classification such as gray correction, noise filtering at the commitment of image procossing to it.For facial image, its preprocessing process mainly comprises the light compensation of facial image, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and sharpening etc.Then, facial image feature extraction is carried out: the spendable feature of face recognition technology is divided into visual signature, pixels statistics feature, facial image conversion coefficient feature, facial image algebraic characteristic etc. usually.It is exactly the process of face being carried out to feature modeling that face characteristic extracts.The method that face characteristic extracts is summed up and is divided into two large classes: one is Knowledge based engineering characterizing method; Another is the characterizing method based on algebraic characteristic or statistical learning.Knowledge based engineering characterizing method mainly obtains according to the shape description of human face and the range performance between them characteristic contributing to face classification, and its characteristic component generally includes Euclidean distance, curvature and angle etc. between characteristic point.Face is made up of the local such as eyes, nose, mouth, chin, and to these local and the geometric description of structural relation between them, can be used as the key character identifying face, these features are called as geometric properties.Knowledge based engineering face characterizes the method and template matching method that mainly comprise based on geometric properties.Finally, carry out facial image matching and recognition: the feature templates of the portrait photographs that the characteristic of the facial image of extraction stores with figure database 11 carries out search and mates, by setting a threshold value, when similarity exceedes this threshold value, then export mating the result obtained.
In the present embodiment, portrait photographs in the character image data absorbed by image capture unit 15 by image analyzing unit 17 and figure database 11 carries out aspect ratio to rear, when judging to obtain having the portrait photographs with the described character image data match absorbed in figure database 11, then output packet contains personage's prompting message of the people information corresponding with described portrait photographs; When judging to obtain in figure database 11 portrait photographs not with the described character image data match of picked-up, output packet contains that there is no evidence of this person or personage in these character image data is personage's prompting message of new person.
Voice reminder unit 19, is connected with mobile terminal radio communication, exports with voice mode for the personage's prompting message exported by image analyzing unit 17.In the present embodiment, voice reminder unit 19 is bluetooth earphone.Particularly: when judging to obtain having the portrait photographs with the described character image data match absorbed in figure database 11, then by this bluetooth earphone to user speech report people information (such as work unit, position, with other people associate, family status, hobby etc.); When judging to obtain in figure database 11 portrait photographs not with the described character image data match of picked-up, then report that there is no evidence of this person by this bluetooth earphone to user speech or this personage does not have the prompting message of record.
Refer to Fig. 2, show the person recognition based reminding method schematic flow sheet in one embodiment that the present invention is based on mobile terminal.
As shown in Figure 2, the person recognition based reminding method that the present invention is based on mobile terminal specifically comprises the steps:
Step S201, edits corresponding people information to portrait photographs and portrait photographs and the people information corresponding with described portrait photographs is stored in mobile terminal.Realize object of the present invention, need first to store portrait photographs and corresponding people information, here, can comprise further: newly-built new people information or the people information deposited is edited again.Newly-built new people information comprises following content: choosing portrait photographs, repairing figure, editor's people information etc. to choosing portrait photographs.The people information deposited is edited again, comprising: increase, delete or change people information, change portrait photographs etc.
Step S203, personage is to absorb character image data in shooting.In the present embodiment, described character image data comprise the photo taken by camera or the sectional drawing done the image taken by video camera.
Step S205, carries out aspect ratio to judge whether the described character image data absorbed match with the portrait photographs of storage by the portrait photographs prestored in described character image data and the mobile terminal of picked-up.In the present embodiment, what step S205 implemented is exactly mainly Identification of Images, its roughly flow process comprise: first, carry out Face datection to the personage in described character image data, namely in described character image data, accurate calibration goes out position and the size of face.The pattern feature comprised in facial image is very abundant, as histogram feature, color characteristic, template characteristic, architectural feature and Haar feature etc.Face datection is exactly that this wherein useful information is picked out, and utilizes these features to realize Face datection.Then, carry out facial image preliminary treatment: the original image of acquisition, owing to being subject to restriction and the random disturbances of various condition, often can not directly use, and must carry out the Image semantic classification such as gray correction, noise filtering at the commitment of image procossing to it.For facial image, its preprocessing process mainly comprises the light compensation of facial image, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and sharpening etc.Then, facial image feature extraction is carried out: the spendable feature of face recognition technology is divided into visual signature, pixels statistics feature, facial image conversion coefficient feature, facial image algebraic characteristic etc. usually.It is exactly the process of face being carried out to feature modeling that face characteristic extracts.The method that face characteristic extracts is summed up and is divided into two large classes: one is Knowledge based engineering characterizing method; Another is the characterizing method based on algebraic characteristic or statistical learning.Knowledge based engineering characterizing method mainly obtains according to the shape description of human face and the range performance between them characteristic contributing to face classification, and its characteristic component generally includes Euclidean distance, curvature and angle etc. between characteristic point.Face is made up of the local such as eyes, nose, mouth, chin, and to these local and the geometric description of structural relation between them, can be used as the key character identifying face, these features are called as geometric properties.Knowledge based engineering face characterizes the method and template matching method that mainly comprise based on geometric properties.Finally, carry out facial image matching and recognition: the feature templates of the portrait photographs that the characteristic of the facial image of extraction stores with figure database 11 carries out search and mates, by setting a threshold value, when similarity exceedes this threshold value, then export mating the result obtained.
In the present embodiment, the portrait photographs prestored in the described character image data of picked-up and mobile terminal is carried out aspect ratio to rear, when judgement obtains when having the portrait photographs with the described character image data match absorbed to mobile terminal, then output packet contains personage's prompting message of the people information corresponding with described portrait photographs, and proceeds to step S207; When judging to obtain the portrait photographs not with the described character image data match of picked-up to mobile terminal, output packet contains that there is no evidence of this person or personage in these character image data is personage's prompting message of new person, and proceeds to step S209.
Step S207, exports the described personage's prompting message including the people information corresponding with described portrait photographs with voice mode.In the present embodiment, when judging the portrait photographs being had with the described character image data match absorbed in the terminal, then by report to user speech people information (such as work unit, position, with other people associate, family status, hobby etc.).
Step S209, will include that there is no evidence of this person or personage in these character image data is that personage's prompting message of new person exports with voice mode.In the present embodiment, when judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, then report that there is no evidence of this person to user speech or this personage does not have the prompting message of record.Especially, follow-up, when judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, can step S201 be back to, corresponding people information (newly-built new people information) be edited to the personage in described character image data and is stored.
For the person recognition system for prompting based on mobile terminal of the present invention and method, be now described for its a certain practical application of applying.In this example, involved hardware device comprises smart mobile phone, bluetooth camera and bluetooth earphone.Suppose that user is in a friend assembly place, when see one have fuzzy impression but unascertainable friend time, the button of taking pictures first the pressing bluetooth camera front obtaining this friend of carrying out taking pictures is shone; By bluetooth camera, the front of acquisition being sent to smart mobile phone at one's side according to by Bluetooth transfer techniques, by smart mobile phone, whether the described front of picked-up being matched with the portrait photographs of storage to judge that the described front of absorb is shone according to carrying out aspect ratio with the portrait photographs that prestores in mobile terminal; When judging to obtain having the portrait photographs with the character image data match absorbed in figure database, by mobile terminal, the people information corresponding to this portrait photographs of coupling is sent to bluetooth earphone by Bluetooth transfer techniques, to be reported with voice mode by bluetooth earphone and listen to user, user is made immediately to obtain people information and exchange with that friend in front accordingly, thus both sides are got the hang of very soon and ripe network, build good communication atmosphere.
In sum, person recognition system for prompting based on mobile terminal provided by the invention and method, by taking personage at the scene to absorb character image data, by the character image data of picked-up and the portrait photographs prestored are carried out aspect ratio pair, when judging to obtain having the portrait photographs with the character image data match absorbed in figure database, output packet contains personage's prompting message of the people information corresponding with described portrait photographs with reminding user, make user can learn on-the-spot personnel and personage's background thereof in the very first time, avoid errors such as forgeing or misremember, be conducive to fast, accurately and expertly carry out mutual interchange, build good communication atmosphere, promote the experience of user.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all without prejudice under spirit of the present invention and category, can modify above-described embodiment or changes.Therefore, such as have in art usually know the knowledgeable do not depart from complete under disclosed spirit and technological thought all equivalence modify or change, must be contained by claim of the present invention.
Claims (10)
1., based on a person recognition system for prompting for mobile terminal, it is characterized in that, comprising:
Figure database, is located in mobile terminal, for storing portrait photographs and the people information corresponding with described portrait photographs;
Image capture unit, is connected with described mobile terminal radio communication, for taking personage to absorb character image data;
Image analyzing unit, to be located in mobile terminal and to be connected with described image capture unit and described figure database, for the described character image data of described image capture unit picked-up and the portrait photographs in described figure database being carried out aspect ratio to judge whether the described character image data absorbed match with the portrait photographs of storage, and when judging to obtain having the portrait photographs with the described character image data match absorbed in described figure database, output packet contains personage's prompting message of the people information corresponding with described portrait photographs, and
Voice reminder unit, is connected with described mobile terminal radio communication, exports with voice mode for the personage's prompting message exported by described image analyzing unit.
2. person recognition system for prompting according to claim 1, it is characterized in that, also comprise the people information edit cell be connected with described figure database, for editing corresponding people information to portrait photographs and storing in portrait photographs and the people information corresponding with described portrait photographs to described figure database.
3. person recognition system for prompting according to claim 1, is characterized in that, described image capture unit is provided with trigger button, carries out personage's shooting for triggering described image capture unit.
4. person recognition system for prompting according to claim 3, is characterized in that, described image capture unit comprises Bluetooth camera machine or bluetooth camera.
5. person recognition system for prompting according to claim 1, is characterized in that, described voice reminder unit comprises bluetooth earphone.
6., based on a person recognition based reminding method for mobile terminal, it is characterized in that, comprising:
Personage is to absorb character image data in shooting;
The portrait photographs prestored in described character image data and the mobile terminal of picked-up is carried out aspect ratio to judge whether the described character image data absorbed match with the portrait photographs of storage, and when judging the portrait photographs had in the terminal with the described character image data match absorbed, output packet contains personage's prompting message of the people information corresponding with described portrait photographs; And
The described personage's prompting message including the people information corresponding with described portrait photographs is exported with voice mode.
7. person recognition based reminding method according to claim 6, is characterized in that, described character image data comprise the photo taken by camera or the sectional drawing done the image taken by video camera.
8. person recognition based reminding method according to claim 6, is characterized in that, also comprise: edit corresponding people information to portrait photographs in advance and portrait photographs and the people information corresponding with described portrait photographs be stored in mobile terminal.
9. the person recognition based reminding method according to claim 6 or 8, is characterized in that, also comprise:
When judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, output packet contains that there is no evidence of this person or personage in these character image data is personage's prompting message of new person.
10. person recognition based reminding method according to claim 9, it is characterized in that, also comprise: when judging to obtain the portrait photographs in the terminal not with the described character image data match of picked-up, corresponding people information being edited to the personage in described character image data and is stored.
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| CN111276238A (en) * | 2020-01-09 | 2020-06-12 | 钟梓函 | Device for assisting daily activities of Alzheimer's disease patients |
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