CN101726284A - Place identification method, photographing device and place identification system - Google Patents
Place identification method, photographing device and place identification system Download PDFInfo
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- CN101726284A CN101726284A CN200810173841A CN200810173841A CN101726284A CN 101726284 A CN101726284 A CN 101726284A CN 200810173841 A CN200810173841 A CN 200810173841A CN 200810173841 A CN200810173841 A CN 200810173841A CN 101726284 A CN101726284 A CN 101726284A
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Abstract
The invention discloses a place identification method, a photographing device and a place identification system, wherein the place identification method comprises the following steps of: extracting an image through a photographing device; identifying the image and obtaining at least one object message according with the image; comparing the object message in a place data base so as to respectively obtain at least one initial place message which corresponds to the object message; and intersecting the initial place message so as to obtain a final place message. The invention can accurately realize location on users.
Description
Technical field
The present invention relates to a kind of place discrimination method, camera arrangement and place identification system.
Background technology
The existing in the prior art function with portable electron device adding location is with the site of learning that the user is present.(GPS, Global Positioning System) is example with global position system, and (for example in the elevator, basement etc.) often has the dead angle in the not good place of some signal, can't use in the time can't receiving the signal that GPS transmits.
In addition, there is mode that complementary location is provided with AGPS (Assisted Global Positioning System).Because AGPS sees through telecommunication system signal on the ground to locate, and also can't use when mobile phone can not receive signal.
In addition, have in the mode of Wifi (Wireless Fidelity) and reach the effect of location, wherein Wifi utilizes the relativeness of radio base station (IP) position and signal to locate.
Yet except the misgivings that can't receive signal were arranged, above-mentioned three kinds of locator meamss all had the shortcoming of precision deficiency, the error that GPS is nearly 10 meters, and Wifi has 20 meters, and AGPS is especially up to about 30 meters error.Owing to certain error range is arranged, also can't accurately locate in use.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of place discrimination method, can learn user's position.
Another object of the present invention is to provide a kind of camera arrangement, can learn user's position.
Another purpose of the present invention is to provide a kind of place identification system, uses camera arrangement to learn user's position.
For reaching above-mentioned purpose, place of the present invention discrimination method comprises the following steps: to extract an image by a camera arrangement; This image of identification and acquisition meet at least one article information of this image; This at least one article information of comparison in a locality database is to obtain and the corresponding at least one preliminary location information of this at least one article information respectively; And this at least one preliminary location information that occurs simultaneously is to obtain a dot information finally.
Camera arrangement of the present invention comprises extraction module, picture and text recognition module, comparing module and common factor module.Wherein, extraction module is in order to extract image; The picture and text recognition module meets at least one article information of image in order to recognisable image and acquisition; Comparing module comprises locality database, and comparing module is in order at least one article information of comparison in locality database, to obtain and the corresponding at least one preliminary location information of at least one article information respectively; And the common factor module in order at least one preliminary location information that occurs simultaneously to obtain finally dot information.
Place of the present invention identification system comprises extraction module, picture and text recognition module, comparing module and common factor module.Wherein, extraction module is in order to extract image; The picture and text recognition module meets at least one article information of image in order to recognisable image and acquisition; Comparing module comprises locality database, and comparing module is in order at least one article information of comparison in locality database, to obtain and the corresponding at least one preliminary location information of at least one article information respectively; And the common factor module in order at least one preliminary location information that occurs simultaneously to obtain finally dot information.
According to a wherein embodiment of the present invention, extraction module is positioned at camera arrangement, and recognition module, comparing module and common factor module all are positioned at the server with the mobile phone line.
The present invention can satisfy the user is carried out pinpoint demand.
Description of drawings
Fig. 1 is the Organization Chart of place of the present invention identification system.
Fig. 2 is the Organization Chart of camera arrangement of the present invention.
Fig. 3 is the process flow diagram of place of the present invention discrimination method.
Fig. 4 is the synoptic diagram of place of the present invention discrimination method when running.
Description of reference numerals in the above-mentioned accompanying drawing is as follows:
1,1a camera arrangement 10 extraction modules
12 images, 20 picture and text recognition module
22 article information, 30 comparing module
32 locality database, 36 preliminary location informations
40 common factor modules 42 are dot information finally
50 locating modules, 52 auxiliary location informations
60 map data bases, 80 networks
90 servers
100 place identification systems
Embodiment
For above-mentioned and other purposes, feature and advantage of the present invention can be become apparent, cited below particularlyly go out specific embodiments of the invention, and conjunction with figs., be described in detail below.
Please refer to Fig. 1, be the Organization Chart of place of the present invention identification system.Place of the present invention identification system 100 comprises extraction module 10, picture and text recognition module 20, comparing module 30, common factor module 40 and locating module 50.In the present embodiment, extraction module 10 is positioned at camera arrangement 1 with locating module 50, and picture and text recognition module 20, comparing module 30 then are positioned at server 90 with common factor module 40, but the present invention is not as limit.
Extraction module 10 is in order to extract image.In the present embodiment, extraction module 10 is positioned at camera arrangement 1, and camera arrangement 1 can be the mobile phone of taking pictures.When where the user does not know to be at present, can use camera arrangement 1 that the image of place environment is taken.Camera arrangement 1 of the present invention is not limited to this, and for instance, camera arrangement 1 can be notebook computer with camera function, digital camera, hand-held guider, mobile phone, PDA etc.
Picture and text recognition module 20 meets at least one article information of image in order to recognisable image and acquisition.When recognisable image, even the single static image also can be divided into a plurality of parts (for example shining road sign, shop sign simultaneously), this moment picture and text recognition module 20 just respectively in addition identification to obtain at least one article information.In the present embodiment, article information is the Word message (for example Jenai Road, McDonald) that is enough to represent this image, so that ensuing comparison operation.When the differentiable part of single static image is got over for a long time, represent that promptly the article information that is obtained is many more.
Comparing module 30 comprises locality database 32, and comparing module 30 is in order at least one article information of comparison in locality database 32, to obtain and the corresponding at least one preliminary location information of at least one article information respectively.For instance, when article information was " Jenai Road ", comparing module 30 can be by comparing out in the locality database 32 with all addresses headed by " Jenai Road "; When article information was " McDonald ", comparing module 30 can be by the address of comparing out " McDonald " each hotel owner in the locality database 32.
Common factor module 40, in order at least one preliminary location information that occurs simultaneously to obtain finally dot information.For instance, common factor module 40 can be occured simultaneously " Jenai Road " with " McDonald ", to obtain to be positioned at the address of the McDonald on the Jenai Road.If the McDonald on the Jenai Road has only a family, then obtain finally dot information; If not only a family then needs other article information.For instance, finally dot information is a coordinate information or is address information.
When camera arrangement 1 is the satnav camera cell phone, camera arrangement 1 comprises map data base 60, and coordinate information that is obtained by common factor module 40 or address information can show near the map (for example indicating the position at the present place of user with flag) that indicates the dot information finally with map data base 60 comparison backs in camera arrangement 1.
Be noted that map data base 60 also can be positioned at server 90 ends, server 90 end transmission this moment indicate near the dot information finally map to camera arrangement 1.Perhaps, place identification system 100 does not comprise map data base 60, and this moment, camera arrangement 1 can literal or the voice mode site of informing the user.
When camera arrangement 1 was the satnav camera cell phone, camera arrangement 1 comprised the locating module 50 that belongs to known technology.For instance, locating module 50 can be GPS (Global Positioning System) locating module, AGPS (Assisted Global Positioning System) locating module or Wifi (Wireless Fidelity) locating module etc.Locating module 50 can obtain auxiliary location information, utilizes supplementary can accelerate the speed and the increase precision of place identification.Common factor module 40 can be occured simultaneously auxiliary location information 52 that at least one preliminary location information that comparing module 30 produced and locating module 50 produced to obtain finally dot information.Be noted that locating module 50 also can omit or not use, also can reach the effect of place of the present invention identification.
Then please refer to Fig. 2, be the Organization Chart of camera arrangement of the present invention.Camera arrangement 1a comprises extraction module 10, picture and text recognition module 20, comparing module 30 and locating module 50.Wherein, comparing module 30 comprises locality database 32 and map data base 60.
Different with above-mentioned place identification system 100 is that extraction module 10, recognition module 20, comparing module 30 all are positioned at camera arrangement 1a with common factor module 40 and locating module 50.In the present embodiment, camera arrangement 1a is the mobile phone of taking pictures with satellite positioning module, but the present invention is not as limit.Because it is above-mentioned that the function of extraction module 10, recognition module 20, comparing module 30 and common factor module 40 and locating module 50 and the mode of action all are same as, and therefore repeats no more.
Then please in the lump with reference to figure 1, Fig. 3 and Fig. 4.Fig. 3 is the process flow diagram of place of the present invention discrimination method, and Fig. 4 is the synoptic diagram of place of the present invention discrimination method when running.
As shown in Figure 3, place of the present invention discrimination method comprises step 301 to step 304, below will further specify each step.The present invention at first carry out step 301, extracts image 12 by camera arrangement 1.The image that camera arrangement 1 is extracted can be the wherein picture frame (frame) that dynamic image extracted that still image or video camera obtained that camera obtains.
With Fig. 4 is example, and the image 12 that extraction module 10 is extracted can be " character image " (as doorplate, electric phase number) and " graph image " (as mailbox, shop sign).
Then carry out step 302, recognisable image 12 and acquisition meet at least one article information 22 of this image 12.When image was " character image ", picture and text recognition module 20 was directly to be converted to corresponding literal in the text-recognition mode (for example the image transitions of doorplate is that the literal of doorplate, the image transitions of electronic box are the literal of electronic box; When image comprises " graph image ", then earlier pick out figure and be converted to corresponding literal again (for example the image transitions of mailbox is the literal of shop trade name for the image transitions of " mailbox " two words, shop sign in the pattern recognition mode.In the present embodiment, article information 22 is a Word message, so that ensuing comparison operation, but the present invention is not limited to this.
Then carry out step 303, at least one article information 22 of comparison in locality database 32 is to obtain and at least one article information 22 corresponding at least one preliminary location informations 36 respectively.Related datas such as the address in locality database 32 each company of storage, shop, latitude and longitude coordinates.For instance, when article information 22 was " whole family's convenience store ", then preliminary location information 36 was the place relevant information of all whole family's convenience stores that filter out in the locality database 32 of comparing module 30.
Preliminary location information 36 may be definite place and non-definite place.When preliminary location information 36 is definite place (as doorplate, road sign, name of station, electronic box number etc.), can know the present place of user accurate location by inference according to this preliminary place.If preliminary location information 36 has been definite place, then just do not need other preliminary location informations, also be that preliminary location information 36 is finally dot information 42.
When preliminary location information 36 is non-definite place (as mailbox, traffic lights, shop sign etc.), when expression same item information 22 pairing preliminary location informations 36 are scattered in a plurality of place (mailbox all being arranged as a lot of places), then the user can't learn the position that the user is present by single preliminary location information 36.And must add more preliminary location information, so that reduce the scope gradually to obtain unique finally dot information.
Then carry out step 304, at least one preliminary location information 36 that occurs simultaneously is to obtain finally dot information 42.For instance, if the image that camera arrangement 1 extracts comprises traffic lights (outside drawing picture), guideboard (as the guideboard image of Zhongshan North Road), McDonald's (signboard image), cafe (signboard image), these four kinds of graphic features all can filter out preliminary location information 36 respectively, obtain finally dot information 42 after all preliminary location informations 36 being occured simultaneously again.Whole location information 42 promptly can filter out the location information that there are traffic lights at the McDonald, the crossing, next door that are positioned on the Zhongshan North Road and cafe is arranged simultaneously on every side.
In the present embodiment, finally dot information is coordinate information (longitude and latitude), and its information can supply follow-up further application.For instance, this coordinate information can be applicable on the map, can show at camera arrangement 1 to indicate the finally map of dot information.
The application of this coordinate information is not limited to above-mentioned, and this coordinate information also can combine with the image that camera arrangement 1 is extracted.For instance, if camera arrangement 1 image that extracts is stored with specific format (for example jpeg file form), this coordinate information can attach and be stored in the photo files, uses to provide following.
In addition, if camera arrangement 1 originally promptly has locating module 50, the auxiliary location information 52 that it obtained can be occured simultaneously in the lump in step 304.Also promptly occur simultaneously at least one preliminary location information 36 and auxiliary location information 50 to obtain finally dot information.So can more accurate site of learning the user efficiently.
Wherein, above-mentioned steps 301 to whole actions of step 304 can be carried out in camera arrangement 1a, as shown in Figure 2.In addition, camera arrangement 1 also can and server 90 between by network 80 lines (for example using communications frameworks such as 2G, 3G, WIMAX or LTE), step 301 is carried out in camera arrangement 1, step 302 to step 304 is carried out in this server, and the finally dot information that step 304 obtained is passed to camera arrangement 1 again.
In sum, no matter the present invention all shows it totally different in the feature of known technology with regard to purpose, means and effect.Must notice that the foregoing description only is illustrative principle of the present invention and effect thereof, but not is used to limit the scope of the invention.The scope of the present invention should be as described in the appended claim.
Claims (15)
1. a place discrimination method comprises the following steps:
(A) extract an image by a camera arrangement;
(B) this image of identification and acquisition meet at least one article information of this image;
(C) this at least one article information of comparison in a locality database is to obtain and the corresponding at least one preliminary location information of this at least one article information respectively; And
(D) occur simultaneously this at least one preliminary location information to obtain a dot information finally.
2. place as claimed in claim 1 discrimination method, wherein this finally dot information be a coordinate information.
3. place as claimed in claim 2 discrimination method wherein also comprises: this coordinate information of comparison in a map data base shows that at this camera arrangement one indicates this finally map of dot information.
4. as claim 1,2 or 3 described place discrimination methods, wherein this camera arrangement also comprises a location module, and this locating module can obtain an auxiliary location information, and this place discrimination method also comprises:
(E) occur simultaneously this at least one preliminary location information and this auxiliary location information to obtain this finally dot information.
5. place as claimed in claim 1 discrimination method, wherein this camera arrangement is a camera cell phone, wherein step (A) to step (D) is carried out at this camera arrangement.
6. place as claimed in claim 1 discrimination method, wherein this camera arrangement is a camera cell phone, this camera arrangement and a server line, step (B) to step (D) is carried out at this server.
7. camera arrangement comprises:
One extraction module is in order to extract an image;
One picture and text recognition module is in order to this image of identification and obtain to meet at least one article information of this image;
One comparing module comprises a locality database, and this comparing module is in order to this at least one article information of comparison in this locality database, to obtain and the corresponding at least one preliminary location information of this at least one article information respectively; And
One common factor module, in order to this at least one preliminary location information that occurs simultaneously to obtain a dot information finally.
8. camera arrangement as claimed in claim 7, wherein this finally dot information be a coordinate information.
9. camera arrangement as claimed in claim 8, wherein this camera arrangement also comprises a map data base, this coordinate information can show that at this camera arrangement one indicates this finally map of dot information with this map data base comparison back.
10. as claim 7,8 or 9 described camera arrangements, wherein this camera arrangement also comprises:
One location module, this locating module can obtain an auxiliary location information, this common factor module also can occur simultaneously this at least one preliminary location information with should auxiliary location information to obtain this finally dot information.
11. camera arrangement as claimed in claim 10, wherein this locating module is a GPS locating module, an AGPS locating module or a Wifi locating module.
12. a place identification system comprises:
One extraction module is in order to extract an image;
One picture and text recognition module is in order to this image of identification and obtain to meet at least one article information of this image;
One comparing module comprises a locality database, and this comparing module is in order to this at least one article information of comparison in this locality database, to obtain and the corresponding at least one preliminary location information of this at least one article information respectively; And
One common factor module, in order to this at least one preliminary location information that occurs simultaneously to obtain a dot information finally.
13. place as claimed in claim 12 identification system, wherein this finally dot information be a coordinate information, this place identification system also comprises a map data base, and this coordinate information can show that in this place identification system one indicates this finally map of dot information with this map data base comparison back.
14. as claim 12 or 13 described place identification systems, wherein this place identification system also comprises:
One location module, this locating module can obtain an auxiliary location information, this common factor module also can occur simultaneously this at least one preliminary location information with should auxiliary location information to obtain this finally dot information.
15. place as claimed in claim 12 identification system, wherein this extraction module is positioned at a camera arrangement, and this recognition module, this comparing module and this common factor module all are positioned at the server with this camera arrangement line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810173841A CN101726284A (en) | 2008-10-29 | 2008-10-29 | Place identification method, photographing device and place identification system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810173841A CN101726284A (en) | 2008-10-29 | 2008-10-29 | Place identification method, photographing device and place identification system |
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| CN101726284A true CN101726284A (en) | 2010-06-09 |
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| CN200810173841A Pending CN101726284A (en) | 2008-10-29 | 2008-10-29 | Place identification method, photographing device and place identification system |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102565831A (en) * | 2012-02-13 | 2012-07-11 | 惠州市德赛西威汽车电子有限公司 | System and method for utilizing portable intelligent terminal to assist in automatic navigation |
| WO2015024465A1 (en) * | 2013-08-23 | 2015-02-26 | 华为终端有限公司 | Argument reality content screening method, apparatus, and system |
| CN104977011A (en) * | 2014-04-09 | 2015-10-14 | 广东融讯信息科技有限公司 | Positioning method and positioning device based on street-photographing image in electronic map |
| CN106228160A (en) * | 2016-08-03 | 2016-12-14 | 浙江宇视科技有限公司 | Headend equipment localization method and device |
| CN106304335A (en) * | 2016-09-22 | 2017-01-04 | 宇龙计算机通信科技(深圳)有限公司 | Localization method, device and terminal |
| WO2016197222A3 (en) * | 2015-06-11 | 2017-01-19 | Muxi Tecnologia Em Pagamentos S.A. | Point of sale apparatuses, methods and systems |
| CN108197619A (en) * | 2017-12-27 | 2018-06-22 | 百度在线网络技术（北京）有限公司 | A kind of localization method based on signboard image, device, equipment and storage medium |
| CN110514181A (en) * | 2018-05-22 | 2019-11-29 | 杭州萤石软件有限公司 | A kind of electronic equipment localization method and device |
| US11367077B2 (en) | 2015-06-11 | 2022-06-21 | Idid Tecnologia Ltda | Antifraud resilient transaction identifier datastructure apparatuses, methods and systems |
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| CN102565831A (en) * | 2012-02-13 | 2012-07-11 | 惠州市德赛西威汽车电子有限公司 | System and method for utilizing portable intelligent terminal to assist in automatic navigation |
| US9788166B2 (en) | 2013-08-23 | 2017-10-10 | Huawei Device Co., Ltd. | Method, apparatus, and system for screening augmented reality content |
| CN104426933A (en) * | 2013-08-23 | 2015-03-18 | 华为终端有限公司 | A method, device and system for screening an augmented reality content |
| EP2988473A4 (en) * | 2013-08-23 | 2016-04-20 | Huawei Device Co Ltd | Argument reality content screening method, apparatus, and system |
| CN104426933B (en) * | 2013-08-23 | 2018-01-23 | 华为终端（东莞）有限公司 | A kind of method, apparatus and system for screening augmented reality content |
| WO2015024465A1 (en) * | 2013-08-23 | 2015-02-26 | 华为终端有限公司 | Argument reality content screening method, apparatus, and system |
| CN104977011A (en) * | 2014-04-09 | 2015-10-14 | 广东融讯信息科技有限公司 | Positioning method and positioning device based on street-photographing image in electronic map |
| WO2016197222A3 (en) * | 2015-06-11 | 2017-01-19 | Muxi Tecnologia Em Pagamentos S.A. | Point of sale apparatuses, methods and systems |
| EP3739540A3 (en) * | 2015-06-11 | 2020-12-16 | Muxi Tecnologia Em Pagamentos S.A. | Point of sale apparatuses, methods and systems |
| US11367077B2 (en) | 2015-06-11 | 2022-06-21 | Idid Tecnologia Ltda | Antifraud resilient transaction identifier datastructure apparatuses, methods and systems |
| US11531990B2 (en) | 2015-06-11 | 2022-12-20 | Idid Tecnologia Ltda | Point of sale apparatuses, methods and systems |
| US11715109B2 (en) | 2015-06-11 | 2023-08-01 | Idid Tecnologia Ltda | Point of sale apparatuses, methods and systems |
| CN106228160A (en) * | 2016-08-03 | 2016-12-14 | 浙江宇视科技有限公司 | Headend equipment localization method and device |
| CN106228160B (en) * | 2016-08-03 | 2019-10-18 | 浙江宇视科技有限公司 | Headend equipment localization method and device |
| CN106304335A (en) * | 2016-09-22 | 2017-01-04 | 宇龙计算机通信科技(深圳)有限公司 | Localization method, device and terminal |
| CN108197619A (en) * | 2017-12-27 | 2018-06-22 | 百度在线网络技术（北京）有限公司 | A kind of localization method based on signboard image, device, equipment and storage medium |
| CN110514181A (en) * | 2018-05-22 | 2019-11-29 | 杭州萤石软件有限公司 | A kind of electronic equipment localization method and device |
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Open date: 20100609 |