WO2021259146A1

WO2021259146A1 - Positioning method and apparatus based on image recognition, and electronic device

Info

Publication number: WO2021259146A1
Application number: PCT/CN2021/100770
Authority: WO
Inventors: 李福喜; 叶炜; 孙元涛
Original assignee: 支付宝(杭州)信息技术有限公司
Priority date: 2020-06-24
Filing date: 2021-06-18
Publication date: 2021-12-30
Also published as: CN111739095A

Abstract

A positioning method and apparatus based on image recognition, and an electronic device, capable of improving the efficiency and accuracy of indoor positioning. The method comprises: step 102: a server receives images sent by a camera and location information corresponding to the images; step 104: after acquiring a positioning request triggered by an electronic device for a target to be positioned, the server acquires a user account associated with the electronic device, and acquires a positioning feature of said target from positioning features associated with the user account; step 106: screening the images sent by the camera to obtain images comprising positioning features; step 108: comparing the positioning features included in the images obtained by screening with the positioning feature of the target, to obtain an image of which the positioning feature matches the positioning feature of the target; step 110: acquiring the location information corresponding to the matched image; and step 112: sending the location information to the electronic device, so that the electronic device can display the current location of the target to be positioned.

Description

Positioning method, device and electronic equipment based on image recognition

Technical field

The embodiments of the present disclosure relate to the field of Internet technology, and in particular, to a positioning method, device, and electronic equipment based on image recognition.

Background technique

At present, all walks of life have a relatively large demand for indoor positioning, such as: searching for cars in indoor parking lots, searching for stores in shopping malls, or searching for objects in supermarkets, etc. In the existing related technologies, the global positioning system (GPS) is generally used to locate the target, but GPS positioning cannot be used indoors. Therefore, there are a large number of indoor positioning solutions, such as Bluetooth positioning, wifi positioning, or geomagnetism. Positioning etc.

Bluetooth positioning and wifi positioning determine the current location of the target based on the received signal strength of the base station. A large number of base stations need to be deployed in the positioning site, and the new hardware cost and deployment cost are high; geomagnetic positioning is based on the collected geomagnetic signals. Determining the current position of the target is susceptible to interference and poor stability. Therefore, it is necessary to provide a positioning method that can accurately locate objects indoors and improve the efficiency and accuracy of positioning.

Summary of the invention

The embodiments of the present disclosure provide a positioning method, device, and electronic equipment based on image recognition, so as to realize accurate positioning of a target to be positioned indoors, and improve the efficiency and accuracy of positioning.

In a first aspect, embodiments of the present disclosure provide a positioning method based on image recognition, including: a server receives an image sent by a camera and position information corresponding to the image; after obtaining a positioning request for a target to be positioned triggered by an electronic device Acquire the user account associated with the electronic device, and obtain the location feature of the target to be located from the location feature associated with the user account according to the pre-established association relationship between the location feature and the user account; and send to the camera To obtain an image including positioning features; compare the positioning features included in the screened image with the positioning characteristics of the target to obtain an image matching the positioning characteristics with the positioning characteristics of the target; obtain the Location information corresponding to the matched image; sending the location information to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.

In the above-mentioned positioning method based on image recognition, the server receives the image sent by the camera and the position information corresponding to the above-mentioned image, and after obtaining the positioning request for the target to be located triggered by the electronic device, the server obtains the user account associated with the above-mentioned electronic device, and According to the pre-established association relationship between the locating feature and the user account, the locating feature of the target to be located is obtained from the locating feature associated with the user account. Then, the server screens the images sent by the camera to obtain an image that includes positioning features, compares the positioning features included in the screened image with the positioning features of the above-mentioned target, and obtains an image with the positioning features matching the positioning features of the above-mentioned target , And then obtain the location information corresponding to the matching image, and send the location information to the electronic device, so that the electronic device can display the current location of the target to be located based on the location information, and realize the existing indoor based The camera locates the target to be positioned indoors without adding additional hardware equipment. The implementation cost is low, the positioning accuracy is high, and it is not susceptible to interference. Moreover, as long as the electronic equipment can be connected to the Internet, the positioning can be achieved without relying on Bluetooth and/ Or wifi.

In a possible implementation manner, after obtaining the positioning request triggered by the electronic device for the target to be located, the method further includes: determining the area where the electronic device is currently located; and filtering the images sent by the camera, Obtaining the image including the positioning feature includes: filtering the image sent by the camera set in the area to obtain the image including the positioning feature.

In a possible implementation manner, the obtaining the user account associated with the electronic device, according to the pre-established association relationship between the positioning feature and the user account, obtaining the target to be located from the positioning feature associated with the user account Before the locating feature, the method further includes: acquiring the locating feature of the target; establishing an association relationship between the locating feature of the target and the user account associated with the target.

In a second aspect, an embodiment of the present disclosure provides a positioning method based on image recognition, including: a camera receives a positioning feature of a target to be positioned sent by a server, where the positioning feature is triggered by the server to acquire an electronic device for a target to be positioned. After obtaining the location request of the target, and obtaining the user account associated with the electronic device, it is obtained from the location feature associated with the user account; the images including the location feature are selected from the captured images; the images included in the screening are included The location feature is compared with the location feature of the target, and an image with the location feature matching the location feature of the target is obtained; the location information of the target is determined according to the matched image; the location information of the target is sent To the server, so that the server sends the location information of the target to the electronic device.

The above-mentioned positioning method based on image recognition realizes the positioning of the target to be positioned indoors based on the existing camera in the room, without adding additional hardware equipment, the realization cost is low, the positioning accuracy is high, and it is not susceptible to interference, and the electronic equipment As long as it can be connected to the Internet, positioning can be achieved without relying on Bluetooth and/or wifi.

In a third aspect, embodiments of the present disclosure provide a positioning method based on image recognition, including: after a server obtains a positioning request triggered by an electronic device, obtaining a user account associated with the electronic device; and according to the association relationship between the positioning feature and the user account, Obtain the location feature of the target to be located from the location feature associated with the user account; send the location feature of the target to be located to the camera; receive the location information of the target sent by the camera; send the target The location information of is sent to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.

The above-mentioned image recognition-based positioning method can realize the positioning of the target to be positioned indoors based on the existing camera in the room, without adding additional hardware equipment, the implementation cost is low, the positioning accuracy is high, and it is not susceptible to interference, and electronic equipment As long as it can be connected to the Internet, positioning can be achieved without relying on Bluetooth and/or wifi.

In a fourth aspect, an embodiment of the present disclosure provides a positioning device based on image recognition, including: a receiving module for receiving an image sent by a camera and location information corresponding to the image; an acquisition module for acquiring information triggered by an electronic device After the positioning request for the target to be located, the user account associated with the electronic device is obtained, and the target to be located is obtained from the positioning feature associated with the user account according to the pre-established association relationship between the positioning feature and the user account. The screening module is used to screen the image sent by the camera to obtain an image that includes the location feature; the comparison module is used to compare the location feature included in the image obtained by the screening module with the target The positioning feature is compared to obtain an image matching the positioning feature with the positioning feature of the target; the obtaining module is also used to obtain the location information corresponding to the matched image; the sending module is used to transfer the obtaining module The acquired location information is sent to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.

In a possible implementation manner, the device further includes: a determining module, configured to determine the area where the electronic device is currently located after the acquiring module acquires the positioning request for the target to be located triggered by the electronic device; The screening module is specifically used to screen the images sent by the cameras set in the area to obtain images that include positioning features.

In a possible implementation manner, the device further includes: an establishment module; the acquisition module is further configured to acquire the positioning characteristics of the target before acquiring the positioning characteristics of the target to be positioned; the establishment module , For establishing an association relationship between the positioning feature of the target and the user account associated with the target.

In a fifth aspect, an embodiment of the present disclosure provides a positioning device based on image recognition, including: a receiving module configured to receive a positioning feature of a target to be positioned sent by a server, where the positioning feature is triggered by the server acquiring an electronic device In response to a positioning request for a target to be located, and after obtaining the user account associated with the electronic device, it is obtained from the positioning features associated with the user account; the filtering module is used to filter images that include positioning features from the captured images The comparison module is used to compare the location features included in the image obtained by the screening module with the location feature of the target, and obtain an image with the location feature matching the location feature of the target; the determination module is used for The location information of the target is determined according to the matched image; a sending module is configured to send the location information of the target to a server, so that the server can send the location information of the target to the electronic device.

In a sixth aspect, an embodiment of the present disclosure provides a positioning device based on image recognition, including: an acquisition module for acquiring a user account associated with the electronic device after acquiring a positioning request triggered by the electronic device; and communicating with the user based on the positioning feature The association relationship of the account is used to obtain the positioning feature of the target to be located from the positioning feature associated with the user account; the sending module is used to send the positioning feature of the target to be located to the camera; the receiving module is used to receive the location feature of the target to be located. The location information of the target sent by the camera; the sending module is also used to send the location information of the target to the electronic device, so that the electronic device displays the to-be-positioned information according to the location information The current location of the target.

In a seventh aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and at least one memory communicatively connected to the processor. The memory stores program instructions executable by the processor, and the processor can execute the method provided in the first aspect by invoking the program instructions.

In an eighth aspect, embodiments of the present disclosure provide a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the method provided in the first aspect.

In a ninth aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and at least one memory communicatively connected with the processor. The memory stores program instructions that can be executed by the processor, and the processor can execute the method provided in the second aspect by invoking the program instructions.

In a tenth aspect, embodiments of the present disclosure provide a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the method provided in the second aspect.

In an eleventh aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and at least one memory communicatively connected to the processor. The memory stores program instructions that can be executed by the processor, and the processor can execute the method provided in the third aspect by invoking the program instructions.

In a twelfth aspect, embodiments of the present disclosure provide a non-transitory computer-readable storage medium for storing computer instructions that cause the computer to execute the method provided in the third aspect.

It should be understood that the fourth, seventh, and eighth aspects of the embodiments of the present disclosure are consistent with the technical solutions of the first aspect of the embodiments of the present disclosure, and the beneficial effects obtained by each aspect and corresponding feasible implementation manners are similar, and are no longer Go into details

The fifth, ninth, and tenth aspects of the embodiments of the present disclosure are consistent with the technical solutions of the second aspect of the embodiments of the present disclosure, and the beneficial effects achieved by each aspect and corresponding feasible implementation manners are similar, and will not be repeated;

The sixth, eleventh, and twelfth aspects of the embodiments of the present disclosure are consistent with the technical solutions of the third aspect of the embodiments of the present disclosure, and the beneficial effects achieved by each aspect and corresponding feasible implementation manners are similar, and will not be repeated.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present disclosure more clearly, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, without creative work, other drawings can be obtained from these drawings.

FIG. 1 is a flowchart of an embodiment of a positioning method based on image recognition in the present disclosure;

2 is a flowchart of another embodiment of the positioning method based on image recognition in the present disclosure;

FIG. 3 is a flowchart of still another embodiment of the positioning method based on image recognition of the present disclosure;

4 is a flowchart of still another embodiment of the positioning method based on image recognition in the present disclosure;

FIG. 5 is a flowchart of still another embodiment of the positioning method based on image recognition of the present disclosure;

6 is a schematic structural diagram of an embodiment of a positioning device based on image recognition in the present disclosure;

FIG. 7 is a schematic structural diagram of another embodiment of a positioning device based on image recognition in the present disclosure;

FIG. 8 is a schematic structural diagram of another embodiment of a positioning device based on image recognition in the present disclosure;

9 is a schematic structural diagram of another embodiment of a positioning device based on image recognition in the present disclosure;

FIG. 10 is a schematic structural diagram of an embodiment of the electronic device of the present disclosure.

detailed description

The described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present disclosure.

The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and are not intended to limit the present disclosure. The singular forms of "a", "said" and "the" used in the embodiments of the present disclosure and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

In related technologies, GPS is used to locate a target, but GPS positioning cannot be used indoors. Therefore, there are a large number of indoor positioning solutions, such as Bluetooth positioning, wifi positioning, or geomagnetic positioning. Bluetooth positioning and wifi positioning determine the current location of the target based on the received signal strength of the base station. A large number of base stations need to be deployed in the positioning site, and the new hardware cost and deployment cost are high; geomagnetic positioning is based on the collected geomagnetic signals. Determining the current position of the target is susceptible to interference and poor stability. Therefore, the embodiments of the present disclosure provide a positioning method based on image recognition, which can accurately locate a target to be positioned indoors, and improve the efficiency and accuracy of positioning.

Fig. 1 is a flowchart of an embodiment of a positioning method based on image recognition of the present disclosure. As shown in Fig. 1, the above-mentioned positioning method based on image recognition may include:

Step 102: The server receives the image sent by the camera and the location information corresponding to the above-mentioned image.

The camera is a video input device, which is widely used in video conferencing and real-time monitoring. In specific implementation, multiple cameras can be deployed in the location location to form a camera network. When the target to be located is detected by two consecutive cameras with relatively stable features, the target can be tracked by the camera, and after the camera captures the image , You can also determine the location information of the captured target based on the captured image. The location information is the location information corresponding to the above image. Then the camera sends the captured image and the location information corresponding to the above image to the server, and the server receives the information sent by the camera. After the image and the location information corresponding to the above image, the location information of the target to be located can be obtained by recognizing the image sent by the camera.

Step 104: After obtaining the positioning request for the target to be located triggered by the electronic device, obtain the user account associated with the electronic device, and according to the pre-established association relationship between the positioning feature and the user account, from the positioning feature associated with the user account Obtain the positioning feature of the target to be positioned.

The electronic device may be a smart electronic device such as a smart phone, a tablet computer, a smart watch, or a wearable device, and this embodiment does not limit the specific type of the foregoing electronic device.

Specifically, the electronic device triggering the positioning request for the target to be located may include: the positioning application in the above electronic device, for example: a map application is opened; or, the positioning application in the above electronic device, for example: the map application is opened , And obtain the positioning operation information for the target to be located in the display interface of the positioning application, for example, the user opens the map application, and clicks on the display interface of the map application an icon indicating that the user is located; or The above-mentioned shared location in the application currently running on the electronic device is triggered, and this embodiment does not limit the operation form of the electronic device triggering the location request.

The user account associated with the electronic device may be a user account registered on the server by the user who uses the electronic device, and the electronic device has logged in to the user account.

In this embodiment, the positioning feature corresponds to the target to be located, and the target to be located is different, and the positioning feature is also different. For example, when the target to be located is a person, the positioning feature may be a face; and when the target to be located is When it is a car, the positioning feature can be the license plate number.

The user can pre-store his own facial features and/or the license plate number of his car in the server. Accordingly, the server establishes the facial feature and the user account, and/or establishes the association relationship between the license plate number and the user account, that is, In other words, the positioning feature associated with the user account may include the user's own facial features and/or the license plate number of the user's car. In this way, after the server obtains the positioning request for the target to be located triggered by the electronic device, the user can obtain the positioning request from the user. Acquire the location feature of the target to be located from the location feature associated with the account.

Step 106: Filter the images sent by the above-mentioned camera to obtain images including positioning features.

Since the images captured by the camera may not include location features such as human faces and/or license plate numbers, the server can filter the images sent by the above-mentioned camera first, remove images that do not include location features, and retain images that include location features, thereby reducing The number of image recognition reduces the resource consumption of the server and improves the performance of the server.

Step 108: Comparing the location features included in the image obtained through the screening with the location features of the above-mentioned target, and obtain an image with the location features matching the location features of the above-mentioned target.

Step 110: Obtain location information corresponding to the above-mentioned matched image.

Step 112: Send the location information to the electronic device, so that the electronic device displays the current location of the target to be located based on the location information.

After the server sends the above-mentioned location information to the electronic device, the electronic device can display the current location of the target to be located in the display interface of a positioning application, such as a map application, according to the above-mentioned location information.

FIG. 2 is a flowchart of another embodiment of a positioning method based on image recognition in the present disclosure. As shown in FIG. 2, in the embodiment shown in FIG. 1 of the present disclosure, after obtaining a positioning request for a target to be located triggered by an electronic device , May also include: step 202, determining the area where the above-mentioned electronic device is currently located.

In specific implementation, step 202 can be executed in parallel with step 104, or executed sequentially. This embodiment does not limit the execution order of step 202 and step 104, but in FIG. 2, step 202 is executed after step 104 as an example.

In this way, step 106 may be: step 204, screening the images sent by the cameras set in the above-mentioned area to obtain images that include positioning features.

In this embodiment, after obtaining the location request triggered by the electronic device, the server can preliminarily determine the area where the above-mentioned electronic device is currently located. Of course, this area has a relatively large area. At this time, the server has low accuracy in positioning the electronic device. For example, In other words, the server may determine the area where the electronic device is currently located through GPS signals, or determine the area where the electronic device is currently located through location-based services (LBS). Then, the server can only filter the images sent by the cameras set in the determined area, thereby further reducing the number of images that the server needs to process and reducing the resource consumption of the server.

FIG. 3 is a flowchart of another embodiment of the positioning method based on image recognition of the present disclosure. As shown in FIG. 3, in the embodiment shown in FIG. Positioning features.

Step 304: Establish an association relationship between the positioning feature of the above-mentioned target and the user account associated with the above-mentioned target.

As mentioned above, the user can save his facial features and/or the license plate number of his car in the server in advance. Accordingly, the server establishes the facial feature and the user account, and/or establishes the association between the license plate number and the user account. Relationship, that is, the positioning feature associated with the user account may include the user's own facial features and/or the license plate number of the user's car.

FIG. 4 is a flowchart of another embodiment of the positioning method based on image recognition of the present disclosure. As shown in FIG. 4, the above-mentioned positioning method based on image recognition may include: step 402, the camera receives the positioning feature of the target to be located sent by the server The above positioning feature is obtained from the positioning feature associated with the user account after the server obtains the positioning request for the target to be located triggered by the electronic device, and obtains the user account associated with the above electronic device.

Specifically, the electronic device triggering the positioning request for the target to be located may include: the positioning application in the above electronic device, for example: a map application is opened; or, the positioning application in the above electronic device, for example: the map application is opened , And the positioning operation information for the target to be positioned is acquired in the display interface of the positioning application; or, the shared location in the application currently running on the electronic device is triggered, and this embodiment triggers the operation form of the positioning request for the electronic device Not limited.

The user can pre-store his own facial features and/or the license plate number of his car in the server. Accordingly, the server establishes the facial feature and the user account, and/or establishes the association relationship between the license plate number and the user account, that is, In other words, the positioning feature associated with the user account may include the user's own facial features and/or the license plate number of the user's car. In this way, after the server obtains the positioning request for the target to be located triggered by the electronic device, the user can obtain the positioning request from the user. The location feature of the target to be located is obtained from the location feature associated with the account, and then the server sends the location feature of the target to be located to the camera, and the camera receives the location feature of the target to be located sent by the server.

Step 404: Filter images that include positioning features from the captured images.

Specifically, since the images captured by the camera may not include location features such as human faces and/or license plate numbers, the camera can filter the captured images first, remove images that do not include location features, and retain images that include location features. Reduce the number of image recognition, reduce the resource consumption of the camera, and ensure the performance of the camera.

In addition, when the target to be located is a person, the camera will not only capture the face, but also record other positioning features of the target to be located, such as the color of clothes, etc., as an auxiliary basis for target recognition. When the target to be located moves within the camera monitoring area or across the area, the camera network can coordinate the various cameras in the network to locate and track the above-mentioned target.

Step 406: Comparing the location features included in the image obtained through the screening with the location feature of the above-mentioned target, and obtain an image with the location feature matching the location feature of the above-mentioned target.

Step 408: Determine the location information of the above-mentioned target according to the above-mentioned matched image.

Specifically, after the camera captures an image, it can determine the location information of the captured target based on the captured image. Therefore, after acquiring a matching image, the camera can determine the location information of the target based on the matching image.

Step 410: Send the location information of the target to the server, so that the server can send the location information of the target to the electronic device.

In this embodiment, after the target to be located enters the camera monitoring area, the camera shoots the target, and the target location information can be determined according to the image of the captured target, and then the location information of the target is sent to the server, and then the server sends the target The location information is sent to the electronic device associated with the target. After the electronic device receives the location information sent by the server, the current location of the target to be located can be displayed.

FIG. 5 is a flowchart of another embodiment of the positioning method based on image recognition of the present disclosure. As shown in FIG. 5, the above-mentioned positioning method based on image recognition may include: step 502, after the server obtains the positioning request triggered by the electronic device, it obtains the above The user account associated with the electronic device.

Step 504: Obtain the location feature of the target to be located from the location feature associated with the user account according to the relationship between the location feature and the user account.

Step 506: Send the positioning feature of the target to be positioned to the camera.

Step 508: Receive the location information of the target sent by the camera.

Step 510: Send the location information of the target to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.

The specific embodiments of the present disclosure have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than in the embodiments and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown in order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

FIG. 6 is a schematic structural diagram of an embodiment of the positioning device based on image recognition of the present disclosure. As shown in FIG. 6, the above-mentioned positioning device based on image recognition may include: a receiving module 61, an acquisition module 62, a screening module 63, a comparison module 64, and Sending module 65; Receiving module 61, used to receive the image sent by the camera and the position information corresponding to the above image; Acquisition module 62, used to obtain the above-mentioned electronic device association after obtaining the positioning request for the target to be located triggered by the electronic device According to the pre-established association relationship between the location feature and the user account, the location feature of the target to be located is obtained from the location feature associated with the user account; the filtering module 63 is used to filter the image sent by the camera , Obtain an image including positioning features; a comparison module 64, configured to compare the positioning features included in the image obtained by the screening module 63 with the positioning features of the above-mentioned target, and obtain an image with the positioning features matching the positioning features of the above-mentioned target; The acquiring module 62 is also used to acquire the position information corresponding to the above-mentioned matched image; the sending module 65 is used to send the position information acquired by the acquiring module 62 to the above-mentioned electronic device, so that the above-mentioned electronic device displays the above-mentioned position information according to the above-mentioned position information. The current position of the target to be located.

The image recognition-based positioning device provided by the embodiment shown in FIG. 6 is used to implement the technical solution of the method embodiment shown in FIG. 1 of the present disclosure. For its implementation principles and technical effects, reference may be made to the relevant description in the method embodiment.

FIG. 7 is a schematic structural diagram of another embodiment of the positioning device based on image recognition of the present disclosure. Compared with the positioning device based on image recognition shown in FIG. 6, the difference is that the positioning device based on image recognition shown in FIG. 7 It may also include: a determining module 66; a determining module 66, configured to determine the area where the aforementioned electronic device is currently located after the acquiring module 62 acquires a positioning request for the target to be located triggered by the electronic device; The images sent by the cameras set in the above regions are filtered to obtain images that include positioning features.

Further, the above-mentioned device may further include: a establishing module 67; an obtaining module 62, which is also used to obtain the positioning feature of the above-mentioned target before obtaining the positioning characteristic of the above-mentioned target to be located; and the establishing module 67 is used to establish the positioning of the above-mentioned target The relationship between the feature and the user account associated with the above-mentioned target.

The image recognition-based positioning device provided by the embodiment shown in FIG. 7 is used to implement the technical solutions of the method embodiments shown in FIGS. 1 to 3 of the present disclosure. For its implementation principles and technical effects, reference may be made to the related descriptions in the method embodiments.

FIG. 8 is a schematic structural diagram of another embodiment of a positioning device based on image recognition of the present disclosure. As shown in FIG. 8, the above-mentioned positioning device based on image recognition may include: a receiving module 81, a screening module 82, a comparison module 83, and a determining module 84 And sending module 85; receiving module 81, used to receive the positioning feature of the target to be located sent by the server, the above positioning feature is that the server obtains the positioning request for the target to be located triggered by the electronic device, and obtains the user associated with the above electronic device After the account is accounted, it is obtained from the positioning features associated with the above user account; the screening module 82 is used to filter images that include positioning features from the captured images; the comparison module 83 is used to filter the images included in the images obtained by the screening module 82 The locating feature is compared with the locating feature of the above-mentioned target, and an image matching the locating feature with the locating feature of the above-mentioned target is obtained; the determining module 84 is used to determine the position information of the above-mentioned target according to the above-mentioned matching image; the sending module 85 is used to The location information of the target is sent to the server, so that the server can send the location information of the target to the electronic device.

The image recognition-based positioning device provided by the embodiment shown in FIG. 8 is used to implement the technical solution of the method embodiment shown in FIG. 4 of the present disclosure. For its implementation principles and technical effects, further reference may be made to the relevant description in the method embodiment.

FIG. 9 is a schematic structural diagram of another embodiment of a positioning device based on image recognition in the present disclosure. As shown in FIG. 9, the above-mentioned positioning device based on image recognition may include: an acquiring module 91, a sending module 92, and a receiving module 93; and an acquiring module 91 , For obtaining the user account associated with the electronic device after obtaining the positioning request triggered by the electronic device; and obtaining the positioning feature of the target to be located from the positioning feature associated with the user account according to the association relationship between the positioning feature and the user account; The sending module 92 is used to send the positioning characteristics of the target to be located to the camera; the receiving module 93 is used to receive the position information of the target sent by the camera; the sending module 92 is also used to send the position information of the target The electronic device is provided to enable the electronic device to display the current location of the target to be positioned based on the location information.

The image recognition-based positioning device provided by the embodiment shown in FIG. 9 is used to implement the technical solution of the method embodiment shown in FIG. 5 of the present disclosure. For its implementation principles and technical effects, further reference may be made to the relevant description in the method embodiment.

FIG. 10 is a schematic structural diagram of an embodiment of an electronic device of the present disclosure. As shown in FIG. 10, the above-mentioned electronic device may include at least one processor; and at least one memory communicatively connected with the above-mentioned processor. The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the image recognition-based positioning method provided in the embodiments shown in FIGS. 1 to 3 of the present disclosure.

The above-mentioned electronic device may be a server, such as a common physical server or a cloud server, etc. The specific type of the above-mentioned server is not limited in this embodiment.

Figure 10 shows a block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure. The electronic device shown in FIG. 10 is only an example, and should not bring any limitation to the function and scope of use of the embodiments of the present disclosure.

As shown in Fig. 10, the electronic device takes the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors 410, a communication interface 420, a memory 430, and a communication bus 440 connecting different components (including the memory 430, the communication interface 420, and the processing unit 410).

The communication bus 440 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, or a local bus using any bus structure among multiple bus structures. For example, the communication bus 440 may include, but is not limited to, an industry standard architecture (ISA) bus, a microchannel architecture (MAC) bus, an enhanced ISA bus, and a video electronics standard association (video electronics) bus. standards association (VESA) local bus and peripheral component interconnection (PCI) bus.

Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by electronic devices, including volatile and non-volatile media, removable and non-removable media.

The memory 430 may include a computer system readable medium in the form of a volatile memory, such as random access memory (RAM) and/or cache memory. The memory 430 may include at least one program product, and the program product has a set of (for example, at least one) program modules configured to perform the functions of the embodiments shown in FIGS. 1 to 4 of the present disclosure.

A program/utility tool having a set of (at least one) program modules may be stored in the memory 430. Such program modules include but are not limited to an operating system, one or more application programs, other program modules, and program data. In these examples Each or some combination of may include the realization of the network environment. The program module usually executes the functions and/or methods in the embodiments described in FIGS. 1 to 4 of the present disclosure.

The processor 410 executes various functional applications and data processing by running programs stored in the memory 430, such as implementing the image recognition-based positioning method provided by the embodiments shown in FIGS. 1 to 3 of the present disclosure.

An embodiment of the present disclosure also provides an electronic device, including: at least one processor; and at least one memory communicatively connected with the foregoing processor. The above-mentioned memory stores program instructions that can be executed by the processor, and the above-mentioned processor can execute the image recognition-based positioning method provided by the embodiment shown in FIG. 4 of the present disclosure by invoking the above-mentioned program instructions.

The above-mentioned electronic device may be a camera. The above-mentioned electronic device can be realized by the structure shown in FIG. 10, which will not be repeated here.

An embodiment of the present disclosure also provides an electronic device, including: at least one processor; and at least one memory communicatively connected with the foregoing processor. The above-mentioned memory stores program instructions that can be executed by a processor, and the above-mentioned processor can execute the image recognition-based positioning method provided by the embodiment shown in FIG. 5 of the present disclosure by invoking the above-mentioned program instructions.

The above-mentioned electronic device may be a server, such as a common physical server or a cloud server, etc. The specific type of the above-mentioned server is not limited in this embodiment. Specifically, the above-mentioned electronic device can be implemented by the structure shown in FIG. 10, and details are not described herein again.

The embodiments of the present disclosure provide a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the embodiments shown in FIGS. 1 to 3 of the present disclosure Provide positioning method based on image recognition.

The embodiment of the present disclosure provides a non-transitory computer-readable storage medium that stores computer instructions that cause the computer to execute the computer-based The positioning method of image recognition.

The aforementioned non-transitory computer-readable storage medium may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory , ROM), erasable programmable read only memory (EPROM) or flash memory, optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any of the above The right combination. In this document, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.

The computer-readable signal medium may include a data signal propagated in baseband or as a part of a carrier wave, and computer-readable program code is carried therein. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium. The computer-readable medium may send, propagate or transmit the program for use by or in combination with the instruction execution system, apparatus, or device .

The program code contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the foregoing.

The computer program code used to perform the operations of the present disclosure can be written in one or more programming languages or a combination thereof. The programming languages include object-oriented programming languages—such as Java, Smalltalk, C++, and also conventional Procedural programming language-such as "C" language or similar programming language. The program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including local area network (LAN) or wide area network (WAN), or it can be connected to an external computer (for example, using Internet service provider to connect via the Internet).

In the description of the present disclosure, descriptions with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean specific features described in conjunction with the embodiment or example , Structures, materials, or characteristics are included in at least one embodiment or example of the present disclosure. In the present disclosure, the schematic expressions of the above-mentioned terms are not necessarily directed to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine the different embodiments or examples and the features of the different embodiments or examples described in the present disclosure, provided that they are not contradictory to each other.

In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

Any process or method description in the flowchart or described in other ways herein can be understood as a module, segment or part of code that includes one or more executable instructions for implementing custom logic functions or steps of the process , And the scope of the preferred embodiments of the present disclosure includes additional implementations, which may not be in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved. This should It is understood by those skilled in the art to which the embodiments of the present disclosure belong.

Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determination" or "in response to detection". Similarly, depending on the context, the phrase "if determined" or "if detected (statement or event)" can be interpreted as "when determined" or "in response to determination" or "when detected (statement or event) )” or “in response to detection (statement or event)”.

It should be noted that the terminals involved in the embodiments of the present disclosure may include, but are not limited to, personal computers (personal computers, PCs), personal digital assistants (personal digital assistants, PDAs), wireless handheld devices, tablet computers, Mobile phones, MP3 players, MP4 players, etc.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, device, and method may be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined Or it can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

In addition, the functional units in the various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional units.

The above-mentioned integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The above-mentioned software function unit is stored in a storage medium, and includes several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor execute the method described in the various embodiments of the present disclosure. Part of the steps. The aforementioned storage media include: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes.

The foregoing descriptions are only preferred embodiments of the present disclosure and are not intended to limit the present disclosure. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the present disclosure Within the scope of protection.

Claims

A positioning method based on image recognition, including:

The server receives the image sent by the camera and the location information corresponding to the image;

After obtaining the location request for the target to be located triggered by the electronic device, obtain the user account associated with the electronic device, and obtain the location feature associated with the user account according to the pre-established association relationship between the location feature and the user account The positioning feature of the target to be positioned;

Screening the images sent by the camera to obtain images including positioning features;

Comparing the positioning feature included in the image obtained by the screening with the positioning feature of the target to obtain an image with the positioning feature matching the positioning feature of the target;

Acquiring location information corresponding to the matched image;

The location information is sent to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.
The method according to claim 1, wherein after said obtaining a positioning request triggered by an electronic device for a target to be positioned, the method further comprises:

Determine the area where the electronic device is currently located;

The filtering the images sent by the camera to obtain an image including positioning features includes:

The images sent by the cameras set in the area are screened to obtain images that include positioning features.
The method according to claim 1 or 2, wherein said obtaining the user account associated with the electronic device, according to the pre-established association relationship between the positioning feature and the user account, obtains the positioning feature associated with the user account Before describing the positioning features of the target to be positioned, it also includes:

Acquiring the positioning feature of the target;

Establish an association relationship between the positioning feature of the target and the user account associated with the target.
A positioning method based on image recognition, including:

The camera receives the positioning feature of the target to be located sent by the server, and the positioning feature is that the server obtains the positioning request for the target to be located triggered by the electronic device, and obtains the user account associated with the electronic device, from the Obtained from the positioning characteristics associated with the user account;

Filter images that include positioning features from the captured images;

Comparing the positioning feature included in the image obtained by screening with the positioning feature of the target, and obtaining an image with the positioning feature matching the positioning feature of the target;

Determining the location information of the target according to the matched image;

Sending the location information of the target to a server, so that the server sends the location information of the target to the electronic device.
A positioning method based on image recognition, including:

After obtaining the positioning request triggered by the electronic device, the server obtains the user account associated with the electronic device;

Obtaining the location feature of the target to be located from the location feature associated with the user account according to the relationship between the location feature and the user account;

Sending the positioning feature of the target to be positioned to the camera;

Receiving the location information of the target sent by the camera;

The location information of the target is sent to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.
A positioning device based on image recognition, including:

The receiving module is used to receive the image sent by the camera and the position information corresponding to the image;

The obtaining module is configured to obtain the user account associated with the electronic device after obtaining the positioning request for the target to be located triggered by the electronic device, and associate the user account from the user account according to the pre-established association relationship between the positioning feature and the user account Acquiring the positioning feature of the target to be positioned from the positioning features of

The screening module is used to screen the images sent by the camera to obtain images that include positioning features;

A comparison module, configured to compare the positioning features included in the images obtained by the screening module with the positioning characteristics of the target, and obtain an image with the positioning characteristics matching the positioning characteristics of the target;

The acquiring module is also used to acquire location information corresponding to the matched image;

The sending module is configured to send the location information acquired by the acquiring module to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.
The device according to claim 6, further comprising:

The determining module is configured to determine the area where the electronic device is currently located after the acquiring module acquires the positioning request for the target to be located triggered by the electronic device;

The screening module is specifically configured to screen the images sent by the cameras set in the area to obtain images that include positioning features.
The device according to claim 6 or 7, further comprising: an establishment module;

The acquiring module is further configured to acquire the positioning feature of the target before acquiring the positioning feature of the target to be positioned;

The establishing module is used to establish an association relationship between the positioning feature of the target and the user account associated with the target.
A positioning device based on image recognition, including:

The receiving module is configured to receive the positioning feature of the target to be located sent by the server, the positioning feature is after the server obtains the positioning request for the target to be located triggered by the electronic device, and obtains the user account associated with the electronic device , Obtained from the positioning feature associated with the user account;

The screening module is used to screen images that include positioning features from the captured images;

A comparison module, configured to compare the location features included in the images obtained by the screening module with the location features of the target, and obtain an image with the location features matching the location features of the target;

A determining module, configured to determine the location information of the target according to the matched image;

The sending module is configured to send the location information of the target to the server, so that the server sends the location information of the target to the electronic device.
A positioning device based on image recognition, including:

The obtaining module is configured to obtain the user account associated with the electronic device after obtaining the positioning request triggered by the electronic device; and obtain the target to be located from the positioning feature associated with the user account according to the association relationship between the positioning feature and the user account Location features;

A sending module, used to send the positioning feature of the target to be positioned to the camera;

A receiving module, configured to receive the location information of the target sent by the camera;

The sending module is further configured to send the location information of the target to the electronic device, so that the electronic device displays the current location of the target to be located according to the location information.
An electronic device including:

At least one processor; and

At least one memory communicatively connected with the processor,

The memory stores program instructions executable by the processor,

The processor can execute the method according to any one of claims 1 to 3 by calling the program instructions.
A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions that cause the computer to execute the method according to any one of claims 1 to 3 .
An electronic device including:

At least one processor; and

At least one memory communicatively connected with the processor,

The memory stores program instructions executable by the processor,

The processor can execute the method according to claim 4 by invoking the program instructions.
A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions that cause the computer to execute the method according to claim 4.
An electronic device including:

At least one processor; and

At least one memory communicatively connected with the processor,

The memory stores program instructions executable by the processor, and the processor can execute the method according to claim 5 by invoking the program instructions.
A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions that cause the computer to execute the method according to claim 5.