CN112950952A - Processing method and electronic equipment - Google Patents
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- CN112950952A CN112950952A CN202110178356.4A CN202110178356A CN112950952A CN 112950952 A CN112950952 A CN 112950952A CN 202110178356 A CN202110178356 A CN 202110178356A CN 112950952 A CN112950952 A CN 112950952A
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Abstract
The application provides a processing method and electronic equipment, wherein a road image acquired by monitoring equipment on a target road is acquired, and the road image is identified to acquire a first identification result; determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result; acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road; wherein the target device and the vehicle are established with a binding relationship; identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result; establishing a corresponding relation between the vehicles on the target road and the vehicle numbers based on the first recognition result and the second recognition result; therefore, the corresponding relation between the vehicles on the target road and the license plate numbers is perfected, and the accuracy of identification is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a processing method and an electronic device.
Background
In the field of traffic management, it is necessary to monitor the behaviour of each vehicle on a road by means of a monitoring device. The vehicles are identified by the license plate numbers, and in order to monitor the vehicle behaviors, the license plate numbers of the vehicles on the road need to be identified.
In the prior art, a road image is acquired through monitoring equipment on a road, the road image can be used for realizing the correspondence between a vehicle and a license plate number, but when shielding occurs between the vehicles on the road or the distance between the vehicles is long, the license plate number of the shielded vehicle cannot be acquired in time through the road image.
Disclosure of Invention
In view of the above, the present application provides a processing method and an electronic device to solve the above technical problems.
In order to achieve the above purpose, the present application provides the following technical solutions:
a method of processing, comprising:
acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road; wherein the target device and the vehicle are established with a binding relationship;
identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result;
and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
Optionally, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired; the method further comprises the following steps:
acquiring a surrounding vehicle image acquired by acquisition equipment arranged on a vehicle on the target road;
determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information;
determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image;
correspondingly, the identifying the vehicle number of the second vehicle based on the own vehicle information and the road image to obtain a second identification result includes:
determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
and determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result.
Optionally, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
identifying the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquiring a second identification result, wherein the second identification result comprises:
and determining the license plate number of the second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle.
Optionally, the method further includes:
and generating a first view aiming at the target road based on the corresponding relation, wherein the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle, and the shielding degree of the license plate number in the first mode is smaller than that in the second mode.
Optionally, the own vehicle information further includes: contact information corresponding to the license plate number of the user;
the method further comprises the following steps:
and in the first view, determining the license plate number corresponding to the contact information and establishing an association relationship.
Optionally, the method further includes:
and sending the first view to a target device corresponding to a vehicle on the target road.
An electronic device, comprising:
a first communication interface for communicating with a monitoring device;
a second communication interface for communicating with a target device;
the processor is used for acquiring a road image acquired by monitoring equipment on a target road through the first communication interface, identifying the road image, acquiring a first identification result, and determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can identify the license plate number on the target road based on the first identification result; acquiring self vehicle information which is sent by target equipment and aims at the vehicle on the target road through a second communication interface; wherein the target device and the vehicle are established with a binding relationship; identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result; establishing the corresponding relation between the vehicles and the vehicle numbers on the target road based on the first recognition result and the second recognition result
Optionally, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
the processor is also used for acquiring surrounding vehicle images acquired by acquisition equipment arranged on the vehicles on the target road; determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information; determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image;
correspondingly, the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
and determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result.
Optionally, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
and determining the license plate number of the second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle.
Optionally, the processor is further configured to generate a first view for the target road based on the correspondence;
the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle, and the shielding degree of the license plate number in the first mode is smaller than that in the second mode.
According to the technical scheme, the method comprises the steps of identifying the road image by acquiring the road image acquired by the monitoring equipment on the target road to acquire a first identification result; determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result; acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road; wherein the target device and the vehicle are established with a binding relationship; identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result; the corresponding relation between the vehicles on the target road and the vehicle numbers is established based on the first recognition result and the second recognition result, so that the license plate numbers of the vehicles can be recognized through the road images, the vehicle numbers of the vehicles which cannot be recognized through the road images can be recognized through the vehicle information acquired by the target equipment bound with the vehicles, the corresponding relation between the vehicles on the target road and the license plate numbers is perfected, and the recognition accuracy is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a processing method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a road image provided in an example of an embodiment of the method of the present application;
fig. 3 is a schematic flow chart of a processing method according to a second embodiment of the present invention;
fig. 4 is a schematic flow chart of a processing method according to a third embodiment of the present invention;
FIG. 5 is a schematic flow chart of a processing method according to a fourth embodiment of the present invention;
FIG. 6 is a schematic illustration of a first view provided by an example of a fourth embodiment of the method of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
An embodiment of the method of the present application provides a processing method, as shown in fig. 1, the method includes the following steps:
step 101: acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
the at least one monitoring device on the target road is used for monitoring the target road, and specifically, the monitoring device may be a high-altitude camera arranged for the target road and used for acquiring a road image on the target road. As an example, as shown in fig. 2, a road image of a target road is acquired for a monitoring apparatus.
Step 102: determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
the road image at least comprises vehicles positioned on the target road, and each vehicle is provided with a license plate number, so that the license plate numbers of the vehicles can be identified by identifying the road image. In this embodiment, the vehicles with the license plate numbers that can be recognized are referred to as first vehicles, the vehicles except the first vehicles are referred to as second vehicles, and the second vehicles may correspond to the vehicles with the license plate numbers that cannot be recognized.
Step 103: acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road;
the target device and the vehicle are in a binding relationship, so that the target device can send the vehicle information of the vehicle in the binding relationship. The target device may be a terminal device, such as a vehicle-mounted terminal, a mobile terminal, or a collection device (such as an image collection device) provided on a vehicle, and may be used to send vehicle information of the vehicle.
The self-vehicle information is used for determining the license plate number of the vehicle to which the self-vehicle information belongs. Specifically, the own vehicle information may include: the vehicle appearance attribute information, the license plate number and the position information of the vehicle. The own vehicle appearance attribute information may include one or more of an appearance color, a vehicle type, and the like of the own vehicle, and the own position information may be a current geographical position of the own vehicle.
Step 104: identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result;
and identifying the license plate number of the second vehicle based on the self vehicle information and the road image, so that all or part of the vehicle numbers of the second vehicle can be identified.
Step 105: and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
The first recognition result comprises the recognized license plate number of the first vehicle, and the second recognition result comprises the recognized license plate number of the second vehicle, so that the corresponding relation between the vehicle on the target road and the license plate number can be established through the first recognition result and the second recognition result.
Therefore, the license plate number of the vehicle can be recognized through the road image, the vehicle number of the vehicle which cannot be recognized through the road image can be recognized through the vehicle information acquired by the target device bound with the vehicle number, the corresponding relation between the vehicle on the target road and the license plate number is perfected, and the recognition accuracy is improved.
An embodiment of the method of the present application provides a processing method, as shown in fig. 3, the method includes the following steps:
step 301: acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
step 302: determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
step 303: acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road;
wherein the target device and the vehicle are established with a binding relationship;
the own vehicle information may include: the vehicle appearance attribute information, the license plate number and the position information of the vehicle.
Step 304: determining the license plate number of a second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle;
the appearance attribute information of the vehicle may include one or more of an appearance color, a vehicle type, and the like of the vehicle, and the position information of the vehicle may be a current geographical position of the vehicle.
And in the second vehicle on the road image, the vehicle matched with the second vehicle can be positioned through the self vehicle appearance attribute information and the self position information, specifically, the vehicle which is consistent with the self position information and has the self vehicle appearance attribute information can be positioned, so that the license plate number of the vehicle is determined as the license plate number of the vehicle, and the result corresponds to a second recognition result.
Step 305: and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
Therefore, the license plate number of the vehicle can be recognized through the road image, the vehicle number of the vehicle which cannot be recognized through the road image can be recognized through the vehicle information acquired by the target device bound with the vehicle number, the corresponding relation between the vehicle on the target road and the license plate number is perfected, and the recognition accuracy is improved.
In the road image, if the distance between the vehicles is very close and the appearances are also very similar, the matching of the vehicles cannot be performed only by the appearance attribute information of the vehicle and the position information of the vehicle, for this case, the third embodiment of the present application provides a processing method, as shown in fig. 4, the method includes the following steps:
step 401: acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
step 402: determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
step 403: acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road;
wherein the target device and the vehicle are established with a binding relationship;
step 404: acquiring a surrounding vehicle image acquired by acquisition equipment arranged on a vehicle on the target road;
the acquisition area of the acquisition equipment is the surrounding environment of the vehicle of the acquisition equipment, so that the images of the surrounding vehicles can be acquired. It can be understood that the collecting direction of the collecting device determines the images of the surrounding vehicles which can be collected, and the application does not limit the collecting direction of the collecting device, and if the collecting direction of the collecting device is the front of the vehicle, the images of the surrounding vehicles in the front can be collected, and actually the images of the tail of the vehicle in the front can be collected. If the acquisition direction of the acquisition device is the rear of the vehicle, an image of the surrounding vehicle at the rear can be acquired, while an image of the head of the vehicle in front can be actually acquired. If the direction of capture by the capture device is the side of the vehicle, then images of the surrounding vehicle on the side can be captured, while images of the side of the vehicle can actually be captured.
The collecting device and the target device in the above steps may be the same device or different devices. The collecting device may not be fixed on the vehicle, but may also be fixed on a specific position on the vehicle, such as the rear position of the vehicle, or the front window position of the vehicle, which may be achieved.
Step 405: determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information;
specifically, the own vehicle information may include: the vehicle appearance attribute information, the license plate number and the position information of the vehicle.
The appearance attribute information of the vehicle may include one or more of an appearance color, a vehicle type, and the like of the vehicle, and the position information of the vehicle may be a current geographical position of the vehicle.
The positional relationship of the nearby vehicle and the own vehicle can be determined by the image of the nearby vehicle and the own vehicle information. If the image of the surrounding vehicle is the tail image of the surrounding vehicle, the position relationship between the surrounding vehicle and the self vehicle can be determined to be a front-rear position relationship, and the self vehicle is positioned at the rear part of the surrounding vehicle; if the surrounding vehicle image is the head image of the surrounding vehicle, it can be determined that the surrounding vehicle and the own vehicle are in a front-rear positional relationship, and the own vehicle is located in front of the surrounding vehicle. And the own vehicle can be characterized by the own vehicle information.
Step 406: determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image;
the collected surrounding vehicle images can determine surrounding vehicle information of surrounding vehicles, at least can determine appearance attribute information of the surrounding vehicles, such as one or more of appearance colors, vehicle types and the like, and if the collected surrounding vehicle images comprise license plate numbers, license plate numbers of the surrounding vehicles can be determined.
Step 407: determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
in the road image, if two vehicles are extremely close to each other and the appearances are close, the own vehicle cannot be located only by the own vehicle information, so that the own vehicle and the nearby vehicle that match the own position information of the own vehicle and the appearance attribute information of the own vehicle and match the nearby vehicle information and whose positional relationship of the two vehicles coincides with the determined positional relationship can be determined in the second vehicle of the road image.
Step 408: determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result;
step 407 and step 408 may be a specific implementation of the step of identifying the vehicle number of the second vehicle based on the own vehicle information and the road image, and obtaining a second identification result.
If the surrounding vehicle information contains the license plate numbers of the surrounding vehicles, the license plate numbers of the surrounding vehicles may be determined based on the surrounding vehicle information. And the own vehicle information has the license plate number of the own license plate, so that the license plate number of the own license plate can be determined, and a second recognition result is obtained.
Step 409: and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
Therefore, the license plate number of the vehicle can be recognized through the road image, the vehicle number of the vehicle which cannot be recognized through the road image can be recognized through the vehicle information acquired by the target device bound with the vehicle and the surrounding vehicle image acquired by the acquisition device, the corresponding relation between the vehicle on the target road and the license plate number is perfected, and the recognition accuracy is improved.
An embodiment of the method of the present application provides a processing method, as shown in fig. 5, the method includes the following steps:
step 501: acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
step 502: determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
step 503: acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road;
wherein the target device and the vehicle are established with a binding relationship;
step 504: identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result;
step 505: establishing a corresponding relation between the vehicles on the target road and the vehicle numbers based on the first recognition result and the second recognition result;
step 506: generating a first view for the target road based on the correspondence;
and the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, wherein the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle.
It should be noted that the vehicle number of the vehicle is identified by the first method, and the second method of identifying the vehicle number at the designated position of the vehicle is not affected. The first mode and the second mode are concurrent in the first view. Specifically, the second mode may correspond to a unified standard mode in which a designated license plate is disposed at a designated position of a vehicle, that is, a mode conforming to a road rule, and license plate numbers of vehicles in the road image are all identified in the second mode. But the second approach is easily obscured or too far away to be recognized.
According to the method and the device, a first view is generated through the corresponding relation, the license plate number of the vehicle is identified in the first view through a first mode different from a second mode, the shielding degree of the license plate number in the first mode is smaller than the shielding degree of the license plate number in the second mode, and therefore the license plate number of each vehicle can be determined conveniently.
As shown in fig. 6, the license plate number of the mark associated to the obliquely upper side of each vehicle corresponds to the first mode in the present application, and this mode can clearly see the license plate number of each vehicle, and hardly generates a blocking phenomenon. Of course, other first methods may be used for identification, and the present application is not limited thereto.
Optionally, the first view may be displayed after the first view is generated, so as to view the license plate number of each vehicle on the target road in time.
Step 507: in the first view, determining a license plate number corresponding to the contact information and establishing an association relation;
in this embodiment, the own vehicle information further includes: contact information corresponding to the license plate number of the user; the contact information is used for contacting the owner of the vehicle, and the association relation between the license plate number of the vehicle and the contact is established in the first view.
It should be noted that the contact information may be directly displayed in the first view or may not be displayed in the first view, but the contact information corresponding to the license plate number may be acquired through a trigger operation.
Step 508: and sending the first view to a target device corresponding to a vehicle on the target road.
The vehicle and the target device have a binding relation, and the first view is sent to the target device bound by the vehicle on the target road, so that the vehicle owner can know the road condition information in time.
Specifically, the first view may be sent to all target devices bound to the vehicle on the target road, or the target devices need to apply for permission to view the first view, and the first view is sent to the target devices that pass the verification.
If the incidence relation between the license plate number and the contact information is established in the first view, the vehicle owner can contact the vehicle owners of other vehicles in time so as to communicate the road condition information. Optionally, the license plate number of the first mode identifier may be directly triggered to display the contact information in the first view through a designated operation, and the communication request may be directly sent through triggering the contact information, so as to facilitate communication between other vehicles.
It should be noted that, in another embodiment of the present application, step 507 and step 508 may not be included; while in yet another embodiment, either step 507 or step 508 may not be included, as may be achieved.
Corresponding to the processing method, the embodiment of the device of the application also provides the electronic equipment.
In one embodiment of the apparatus of the present application, as shown in fig. 7, an electronic device includes: a first communication interface 710, a second communication interface 720, and a processor 730; wherein:
a first communication interface 710 for communicating with a monitoring device;
a second communication interface 720 for communicating with a target device;
the processor 730 is configured to obtain a road image acquired by monitoring equipment on a target road through the first communication interface, identify the road image, obtain a first identification result, and determine, based on the first identification result, a first vehicle and a second vehicle, other than the first vehicle, on the target road, where a license plate number can be identified; acquiring self vehicle information which is sent by target equipment and aims at the vehicle on the target road through a second communication interface; wherein the target device and the vehicle are established with a binding relationship; identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result; and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
The monitoring device may be a high-altitude camera arranged for the target road and used for acquiring road images on the target road.
The road image at least comprises vehicles positioned on the target road, and each vehicle is provided with a license plate number, so that the license plate numbers of the vehicles can be identified by identifying the road image. In this embodiment, the vehicles with the license plate numbers that can be recognized are referred to as first vehicles, the vehicles except the first vehicles are referred to as second vehicles, and the second vehicles may correspond to the vehicles with the license plate numbers that cannot be recognized.
The target device and the vehicles are in a binding relationship, and one vehicle is correspondingly bound with one target device, so that the target device can send the vehicle information of the vehicle with the binding relationship. The target device may be a terminal device, such as a vehicle-mounted terminal, a mobile terminal, or a collection device (such as an image collection device) provided on a vehicle, and may be used to send vehicle information of the vehicle.
The self-vehicle information is used for determining the license plate number of the vehicle to which the self-vehicle information belongs. Specifically, the own vehicle information may include: the vehicle appearance attribute information, the license plate number and the position information of the vehicle.
The processor identifies the license plate number of the second vehicle based on the self vehicle information and the road image, and can identify all or part of the vehicle number of the second vehicle.
The first recognition result comprises the recognized license plate number of the first vehicle, and the second recognition result comprises the recognized license plate number of the second vehicle, so that the corresponding relation between the vehicle on the target road and the license plate number can be established through the first recognition result and the second recognition result.
Therefore, the license plate number of the vehicle can be recognized through the road image, the vehicle number of the vehicle which cannot be recognized through the road image can be recognized through the vehicle information acquired by the target device bound with the vehicle number, the corresponding relation between the vehicle on the target road and the license plate number is perfected, and the recognition accuracy is improved.
In a second embodiment of the apparatus of the present application, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
and determining the license plate number of the second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle.
Wherein the own vehicle information may include: the vehicle appearance attribute information, the license plate number and the position information of the vehicle. The own vehicle appearance attribute information may include one or more of an appearance color, a vehicle type, and the like of the own vehicle, and the own position information may be a current geographical position of the own vehicle.
In the second vehicle on the road image, the processor can locate the vehicle matched with the second vehicle according to the own vehicle appearance attribute information and the own position information, specifically, the vehicle which is consistent with the own position information and has the own vehicle appearance attribute information can be located, so that the license plate number of the vehicle is determined as the own license plate number, and the result corresponds to the second recognition result.
In a third embodiment of the present application, the own vehicle information includes: the vehicle appearance attribute information, the license plate number and the position information of the vehicle.
The processor is also used for acquiring surrounding vehicle images acquired by acquisition equipment arranged on the vehicles on the target road; determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information; determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image.
The acquisition area of the acquisition equipment is the surrounding environment of the vehicle of the acquisition equipment, so that the images of the surrounding vehicles can be acquired. It can be understood that the collecting direction of the collecting device determines the images of the surrounding vehicles which can be collected, and the application does not limit the collecting direction of the collecting device, and if the collecting direction of the collecting device is the front of the vehicle, the images of the surrounding vehicles in the front can be collected, and actually the images of the tail of the vehicle in the front can be collected. If the acquisition direction of the acquisition device is the rear of the vehicle, an image of the surrounding vehicle at the rear can be acquired, while an image of the head of the vehicle in front can be actually acquired. If the direction of capture by the capture device is the side of the vehicle, then images of the surrounding vehicle on the side can be captured, while images of the side of the vehicle can actually be captured.
The collecting device and the target device in the above steps may be the same device or different devices. The collecting device may not be fixed on the vehicle, but may also be fixed on a specific position on the vehicle, such as the rear position of the vehicle, or the front window position of the vehicle, which may be achieved.
The collected surrounding vehicle images can determine surrounding vehicle information of surrounding vehicles, at least can determine appearance attribute information of the surrounding vehicles, such as one or more of appearance colors, vehicle types and the like, and if the collected surrounding vehicle images comprise license plate numbers, license plate numbers of the surrounding vehicles can be determined.
Correspondingly, the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
and determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result.
In the road image, if two vehicles are extremely close to each other and the appearances are close, the own vehicle cannot be located only by the own vehicle information, so that the own vehicle and the nearby vehicle that match the own position information of the own vehicle and the appearance attribute information of the own vehicle and match the nearby vehicle information and whose positional relationship of the two vehicles coincides with the determined positional relationship can be determined in the second vehicle of the road image.
If the surrounding vehicle information contains the license plate numbers of the surrounding vehicles, the license plate numbers of the surrounding vehicles may be determined based on the surrounding vehicle information. And the own vehicle information has the license plate number of the own license plate, so that the license plate number of the own license plate can be determined, and a second recognition result is obtained.
Therefore, the license plate number of the vehicle can be recognized through the road image, the vehicle number of the vehicle which cannot be recognized through the road image can be recognized through the vehicle information acquired by the target device bound with the vehicle and the surrounding vehicle image acquired by the acquisition device, the corresponding relation between the vehicle on the target road and the license plate number is perfected, and the recognition accuracy is improved.
In a fourth embodiment of the apparatus of the present application, the processor is further configured to generate a first view for the target road based on the correspondence;
the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle, and the shielding degree of the license plate number in the first mode is smaller than that in the second mode.
It should be noted that the vehicle number of the vehicle is identified by the first method, and the second method of identifying the vehicle number at the designated position of the vehicle is not affected. The first mode and the second mode are concurrent in the first view. Specifically, the second mode may correspond to a unified standard mode in which a designated license plate is disposed at a designated position of a vehicle, that is, a mode conforming to a road rule, and license plate numbers of vehicles in the road image are all identified in the second mode. But the second approach is easily obscured or too far away to be recognized.
According to the method and the device, a first view is generated through the corresponding relation, the license plate number of the vehicle is identified in the first view through a first mode different from a second mode, the shielding degree of the license plate number in the first mode is smaller than the shielding degree of the license plate number in the second mode, and therefore the license plate number of each vehicle can be determined conveniently.
Optionally, the electronic device may further include a display, and the processor is configured to control the display to display the first view after generating the first view, so as to view the license plate number of each vehicle on the target road in time.
In a fifth embodiment of the apparatus of the present application, the own vehicle information further includes: contact information corresponding to the license plate number of the user;
the processor is further used for determining the license plate number corresponding to the contact information and establishing an association relationship in the first view.
In this embodiment, the own vehicle information further includes: contact information corresponding to the license plate number of the user; the contact information is used for contacting the owner of the vehicle, and the association relation between the license plate number of the vehicle and the contact is established in the first view.
It should be noted that the contact information may be directly displayed in the first view or may not be displayed in the first view, but the contact information corresponding to the license plate number may be acquired through a trigger operation.
In an embodiment of the apparatus of the present application, the processor is further configured to send the first view to a target device corresponding to a vehicle on the target road through a second communication interface.
The vehicle and the target device have a binding relation, and the first view is sent to the target device bound by the vehicle on the target road, so that the vehicle owner can know the road condition information in time.
Specifically, the first view may be sent to all target devices bound to the vehicle on the target road, or the target devices need to apply for permission to view the first view, and the first view is sent to the target devices that pass the verification.
If the incidence relation between the license plate number and the contact information is established in the first view, the vehicle owner can contact the vehicle owners of other vehicles in time so as to communicate the road condition information. Optionally, the license plate number of the first mode identifier may be directly triggered to display the contact information in the first view through a designated operation, and the communication request may be directly sent through triggering the contact information, so as to facilitate communication between other vehicles.
Features described in the embodiments in the present specification may be replaced with or combined with each other, each embodiment is described with a focus on differences from other embodiments, and the same and similar portions among the embodiments may be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of processing, comprising:
acquiring a road image acquired by monitoring equipment on a target road, identifying the road image, and acquiring a first identification result;
determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can recognize license plate numbers on the target road based on the first recognition result;
acquiring self vehicle information which is sent by target equipment and aims at vehicles on the target road; wherein the target device and the vehicle are established with a binding relationship;
identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result;
and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
2. The method according to claim 1, the own vehicle information including: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired; the method further comprises the following steps:
acquiring a surrounding vehicle image acquired by acquisition equipment arranged on a vehicle on the target road;
determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information;
determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image;
correspondingly, the identifying the vehicle number of the second vehicle based on the own vehicle information and the road image to obtain a second identification result includes:
determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
and determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result.
3. The method according to claim 1, the own vehicle information including: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
identifying the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquiring a second identification result, wherein the second identification result comprises:
and determining the license plate number of the second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle.
4. The method of claim 2 or 3, further comprising:
and generating a first view aiming at the target road based on the corresponding relation, wherein the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle, and the shielding degree of the license plate number in the first mode is smaller than that in the second mode.
5. The method according to claim 4, the own vehicle information further comprising: contact information corresponding to the license plate number of the user;
the method further comprises the following steps:
and in the first view, determining the license plate number corresponding to the contact information and establishing an association relationship.
6. The method of claim 4 or 5, further comprising:
and sending the first view to a target device corresponding to a vehicle on the target road.
7. An electronic device, comprising:
a first communication interface for communicating with a monitoring device;
a second communication interface for communicating with a target device;
the processor is used for acquiring a road image acquired by monitoring equipment on a target road through the first communication interface, identifying the road image, acquiring a first identification result, and determining a first vehicle and a second vehicle except the first vehicle, wherein the first vehicle and the second vehicle can identify the license plate number on the target road based on the first identification result; acquiring self vehicle information which is sent by target equipment and aims at the vehicle on the target road through a second communication interface; wherein the target device and the vehicle are established with a binding relationship; identifying the license plate number of the second vehicle based on the self vehicle information and the road image to obtain a second identification result; and establishing a corresponding relation between the vehicle on the target road and the vehicle number based on the first recognition result and the second recognition result.
8. The electronic device according to claim 7, the own vehicle information including: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
the processor is also used for acquiring surrounding vehicle images acquired by acquisition equipment arranged on the vehicles on the target road; determining a positional relationship of the nearby vehicle with the own vehicle based on the nearby vehicle image and the own vehicle information; determining surrounding vehicle information of the surrounding vehicle based on the surrounding vehicle image;
correspondingly, the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
determining the own vehicle and the peripheral vehicle which are matched with the own vehicle information and the peripheral vehicle information and meet the position relation in the second vehicle on the road image;
and determining the license plate number of the surrounding vehicle based on the surrounding vehicle information, and/or determining the license plate number of the self vehicle based on the self vehicle information, and acquiring a second recognition result.
9. The electronic device according to claim 7, the own vehicle information including: the vehicle appearance attribute information, the license plate number and the position information of the vehicle are acquired;
the processor identifies the vehicle number of the second vehicle based on the own vehicle information and the road image, and acquires a second identification result, including:
and determining the license plate number of the second vehicle matched with the appearance attribute information and the position information of the second vehicle in the second vehicle on the road image as the license plate number of the second vehicle.
10. The electronic device of claim 8 or 9, the processor further configured to generate a first view for the target road based on the correspondence;
the license plate number in the first view identifies the vehicle corresponding to the license plate number on the target road through a first mode, the first mode is different from a second mode of identifying the license plate number at a designated position on the vehicle, and the shielding degree of the license plate number in the first mode is smaller than that in the second mode.
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