CN108109383B - Information determination method and device - Google Patents

Information determination method and device Download PDF

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CN108109383B
CN108109383B CN201611056738.5A CN201611056738A CN108109383B CN 108109383 B CN108109383 B CN 108109383B CN 201611056738 A CN201611056738 A CN 201611056738A CN 108109383 B CN108109383 B CN 108109383B
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information
preset
image
default
image acquisition
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CN108109383A (en
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谢忠贤
浦世亮
周明耀
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Hangzhou Hikvision Digital Technology Co Ltd
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Hangzhou Hikvision Digital Technology Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules

Abstract

The embodiment of the invention provides an information determination method and an information determination device, wherein the method comprises the following steps: receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment, and determining a target vehicle included in the first image; judging whether preset information of the target vehicle can be acquired according to the first image; when the preset information of the target vehicle cannot be acquired according to the first image, acquiring a corresponding relation between pre-stored identification information of each image acquisition device and default information, identifying the target default information corresponding to the identification information of the target image acquisition device, and determining the target default information as the preset information of the target vehicle. The embodiment of the invention can improve the accuracy of information determination.

Description

Information determination method and device
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an information determining method and apparatus.
Background
In the traffic monitoring process, image acquisition equipment is usually installed at intersections, gates and other places to acquire images containing vehicles, and then relevant vehicle information is acquired according to the images. Specifically, the image capturing device may detect an image capturing area thereof, and when it is detected that a vehicle passes through, a monitoring image including the target vehicle is captured. Wherein the target vehicle may be a vehicle detected by the image capturing device.
After the image acquisition device acquires the image containing the target vehicle, in order to acquire more information of the target vehicle, such as vehicle brand information, a home location and the like, the image acquisition device can identify the license plate information of the target vehicle and send the identified license plate information and the corresponding image to the image analysis system for analysis.
In some cases, some vehicle information may not be known for some special reasons. For example, the image resolution is low due to weather, so that the relevant information of the target vehicle cannot be identified from the graph; or the license plate information cannot be identified due to the damage, the shielding and the like of the license plate of the target vehicle. In this case, the image analysis system may determine some relevant information of the target vehicle based on default information saved in advance. For example, the image analysis system may pre-configure a default province of the target vehicle, and when it is unable to determine the province information of the target vehicle from the received image, the image analysis system will obtain the pre-saved default province and determine the default province as the province information of the target vehicle.
The default information configuration method in the known image analysis system is mainly configured manually by a user, and when the user configures the default information in the whole system, the default information in the whole system is configured to be the same value. However, some default information may be associated with the region where the image capture device is located, such as a default province of the vehicle. The plurality of image capturing devices associated with the image analysis system may be distributed in different regions, or the region in which the image capturing devices are located may vary. Therefore, the above configuration method will result in that when the image analysis system determines the information, the determined information does not match the actual information, and the accuracy is low.
Disclosure of Invention
The embodiment of the invention aims to provide an information determination method and an information determination device so as to improve the accuracy of information determination. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides an information determining method, where the method includes:
receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment, and determining a target vehicle included in the first image;
judging whether preset information of the target vehicle can be acquired according to the first image;
when the preset information of the target vehicle cannot be acquired according to the first image, acquiring a corresponding relation between pre-stored identification information of each image acquisition device and default information, identifying the target default information corresponding to the identification information of the target image acquisition device, and determining the target default information as the preset information of the target vehicle.
Optionally, after determining whether the preset information of the target vehicle can be acquired according to the first image, the method further includes:
and when the preset information of the target vehicle can be acquired according to the first image, correspondingly storing the identification information of the target image acquisition equipment and the acquired preset information of the target vehicle.
Optionally, the method further comprises:
according to a set time interval, identifying preset information different from the target default information from all preset information of the target vehicle stored in a first preset time period;
judging whether the quantity of the identified preset information is larger than a first preset threshold value or not;
and when the number of the identified preset information is larger than a first preset threshold value, updating default information corresponding to the identification information of the target image acquisition equipment according to each preset information of the target vehicle stored in a second preset time period.
Optionally, the step of updating the default information corresponding to the identification information of the target image acquisition device according to each preset information of the target vehicle stored in a second preset time period includes:
counting the number of different types of preset information in each preset information stored in the second preset time period;
and determining the category of the preset information with the largest quantity, and updating the preset information of the category into default information corresponding to the identification information of the target image acquisition equipment.
Optionally, the step of pre-saving the correspondence between the identification information of each image capturing device and the default information includes:
aiming at each image acquisition device, receiving and storing a second image sent by the image acquisition device and identification information of the image acquisition device;
identifying a target vehicle included in the second image, and acquiring preset information of the target vehicle according to the second image;
storing the corresponding relation between the identification information of the image acquisition equipment and the preset information;
and when the number of the stored preset information corresponding to the identification information of the image acquisition equipment is larger than a second preset threshold value, determining and storing default information corresponding to the identification information of the target image acquisition equipment.
Optionally, the step of determining and storing default information corresponding to the identification information of the image capturing device includes:
counting the number of different types of preset information in each preset information corresponding to the stored identification information of the image acquisition equipment;
and determining the category of the preset information with the largest quantity, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment, and storing the default information.
Optionally, determining the category of the preset information with the largest number of determined categories, determining the preset information of the category as default information corresponding to the identification information of the image acquisition device, and storing the default information includes:
judging whether the number of categories of the preset information with the largest number is 1;
when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information;
and when the category number of the preset information with the largest quantity is not 1, continuously storing the corresponding relation between the identification information of the image acquisition equipment and each preset information, periodically detecting whether the category number of the preset information with the largest quantity is 1, and when the category number of the preset information with the largest quantity is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
In a second aspect, an embodiment of the present invention provides an information determining apparatus, where the apparatus includes:
the system comprises a first receiving module, a second receiving module and a display module, wherein the first receiving module is used for receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment and determining a target vehicle included in the first image;
the first judging module is used for judging whether preset information of the target vehicle can be acquired according to the first image;
and the execution module is used for acquiring the corresponding relation between the pre-stored identification information of each image acquisition device and default information when the first judgment module cannot acquire the preset information of the target vehicle according to the first image, identifying the target default information corresponding to the identification information of the target image acquisition device, and determining the target default information as the preset information of the target vehicle.
Optionally, the apparatus further comprises:
the first storage module is used for correspondingly storing the identification information of the target image acquisition device and the acquired preset information of the target vehicle when the first judgment module can acquire the preset information of the target vehicle according to the first image.
Optionally, the apparatus further comprises:
the first identification module is used for identifying preset information different from the target default information in all preset information of the target vehicle stored in a first preset time period according to a set time interval;
the second judgment module is used for judging whether the quantity of the identified preset information is greater than a first preset threshold value or not;
and the updating module is used for updating default information corresponding to the identification information of the target image acquisition equipment according to each preset information of the target vehicle stored in a second preset time period when the number of the preset information identified by the second judging module is larger than a first preset threshold value.
Optionally, the update module includes:
the first statistic submodule is used for counting the number of different types of preset information in each preset information stored in the second preset time period;
and the updating submodule is used for determining the category of the preset information with the largest quantity and updating the preset information of the category into default information corresponding to the identification information of the target image acquisition equipment.
Optionally, the apparatus further comprises:
the second receiving module is used for receiving and storing a second image sent by the image acquisition equipment and the identification information of the image acquisition equipment aiming at each image acquisition equipment;
the second identification module is used for identifying a target vehicle included in the second image and acquiring preset information of the target vehicle according to the second image;
the second storage module is used for storing the corresponding relation between the identification information of the image acquisition equipment and the preset information;
and the third storage module is used for determining and storing default information corresponding to the identification information of the target image acquisition device when the number of the stored preset information corresponding to the identification information of the image acquisition device is greater than a second preset threshold value.
Optionally, the third storage module includes:
the second counting submodule is used for counting the number of different types of preset information in each preset information corresponding to the stored identification information of the image acquisition equipment;
and the storage submodule is used for determining the category of the preset information with the largest quantity, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
Optionally, the storage submodule is specifically configured to: judging whether the number of categories of the preset information with the largest number is 1; when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information; and when the category number of the preset information with the largest quantity is not 1, continuously storing the corresponding relation between the identification information of the image acquisition equipment and each preset information, periodically detecting whether the category number of the preset information with the largest quantity is 1, and when the category number of the preset information with the largest quantity is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
The embodiment of the invention provides an information determination method and an information determination device, wherein the method comprises the following steps: receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment, and determining a target vehicle included in the first image; judging whether preset information of the target vehicle can be acquired according to the first image; when the preset information of the target vehicle cannot be acquired according to the first image, acquiring a corresponding relation between pre-stored identification information of each image acquisition device and default information, identifying the target default information corresponding to the identification information of the target image acquisition device, and determining the target default information as the preset information of the target vehicle.
In the embodiment of the invention, the corresponding relation between the identification information of each image acquisition device and the default information can be preserved in advance, each default information can be determined according to the image acquired by each image acquisition device, when the first image sent by the target image acquisition device is received and the preset information of the target vehicle can not be acquired according to the first image, the target default information corresponding to the identification information of the target image acquisition device can be identified in the corresponding relation between the identification information of each image acquisition device and the default information preserved in advance, and the target default information is determined as the preset information of the target vehicle. In the embodiment of the invention, the searched target default information corresponds to the target image acquisition equipment, so that the accuracy of information determination can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an information determining method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a first image captured by a target image capture device in accordance with an embodiment of the present invention;
fig. 3 is another flowchart of an information determining method according to an embodiment of the present invention;
fig. 4 is another flowchart of an information determining method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an information determining apparatus according to an embodiment of the present invention;
fig. 6 is another schematic structural diagram of an information determining apparatus according to an embodiment of the present invention;
fig. 7 is another schematic structural diagram of an information determining apparatus according to an embodiment of the present invention.
Detailed Description
In order to improve the accuracy of information determination, the embodiment of the invention provides an information determination method and an information determination device.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In the embodiment of the present invention, in order to improve the accuracy of information determination, for each image capturing device, default information of each image capturing device may be determined in advance according to an image captured by each image capturing device, and a corresponding relationship between identification information of each image capturing device and the default information may be correspondingly stored. It is understood that when the area where the image capturing device is located is fixed, the relevant information of the target vehicle included in the captured image is concentrated on a certain fixed information. For example, when the preset information is province information and the area of the image capturing device is beijing, most of the province information of the target vehicle included in the captured image is beijing.
For example, for each image acquisition device, analysis statistics may be performed on the image acquired by the image acquisition device to obtain corresponding default information, and the default information is stored. The corresponding relation between the identification information of each image acquisition device and the default information can be stored locally in the image analysis system or in an external device establishing a connection relation with the image analysis system.
Specifically, the image analysis system may determine and store default information corresponding to each image acquisition device according to an image acquired by each image acquisition device; or, another self-learning system may determine and store default information corresponding to each image acquisition device according to the image acquired by each image acquisition device. When the self-learning system stores the corresponding relationship between the identification information acquired by each image acquisition device and the default information, the image analysis system can establish a connection relationship with the self-learning system. In the embodiment of the present invention, the information determining method provided in this embodiment is described by taking an example in which the image analysis system determines and stores default information corresponding to each image acquisition device according to an image acquired by each image acquisition device.
In the embodiment of the present invention, default information may be taken as an example of default province to describe the information determining method provided in the embodiment. Those skilled in the art will understand that other types of information may be determined by using the information determination method provided in the present embodiment, as needed.
For example, the correspondence between the identification information of each image capturing device saved by the image analysis system and the default province may be as shown in table 1:
TABLE 1
Identification information Default province
01 Beijing
02 Beijing
03 Hebei river
… …
An embodiment of the present invention provides an information determining method, which may include, as shown in fig. 1, the following steps:
s101, receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment, and determining a target vehicle included in the first image.
The method provided by the embodiment of the invention can be applied to an image analysis system. In particular, the image analysis system may be run in an electronic device, such as a desktop computer, a portable computer, an intelligent mobile terminal, and the like.
In the embodiment of the invention, in order to monitor traffic, image acquisition equipment can be installed at intersections, bayonets and other places needing monitoring. The image acquisition device may be a dome camera, a video camera, a snapshot machine, and the like, which is not limited in the embodiment of the present invention.
And, a wired or wireless connection may be established between the image capturing device and the image analysis system, so that the image capturing device may transmit the image it captures to the image analysis system. For example, the connection between the image acquisition device and the image analysis system may be established through Wireless connection manners such as WIFI (Wireless Fidelity), NFC (Near Field Communication), bluetooth, and the like, which is not limited in the embodiments of the present invention.
It should be noted that the method provided by the embodiment of the present invention may perform information determination according to images acquired by each image acquisition device, and this embodiment only takes any image acquisition device as an example to describe the information determination method provided by the embodiment of the present invention. Also, for convenience of description, the image capturing apparatus targeted in the embodiments of the present invention may be referred to as a target image capturing apparatus.
In the embodiment of the invention, the target image acquisition device can detect whether a vehicle passes through the detection area of the target image acquisition device, and when the target image acquisition device detects that the vehicle passes through the detection area, the target image acquisition device can acquire a first image containing the detected target vehicle. And, the target image capturing device may transmit the first image it captures, and its own identification information to the image analysis system.
Therefore, in the embodiment of the present invention, the image analysis system may receive the first image transmitted by the target image capturing device and the identification information of the target image capturing device. For example, the identification information of the target image capturing device received by the image analysis system may be: 02, the first image received by the image analysis system may be as shown in fig. 2.
After the image analysis system receives the first image, a target vehicle included in the first image may be determined. For example, the image analysis system may identify a vehicle matching the license plate information in the first image according to the license plate information of the target vehicle sent by the target image acquisition device, and then determine the vehicle as the target vehicle. Alternatively, the image analysis system may also determine a characteristic region of the first image that includes the target vehicle, then identify vehicles in the characteristic region, and determine the identified vehicles as the target vehicles.
For example, when the first image received by the image analysis system is as shown in fig. 2, the identified target vehicle may be the vehicle 210.
And S102, judging whether the preset information of the target vehicle can be acquired according to the first image, and executing the step S103 when the preset information of the target vehicle cannot be acquired according to the first image.
In the embodiment of the present invention, after determining the target vehicle included in the first image, the image analysis system may determine whether preset information of the target vehicle, such as provincial information, can be acquired according to the first image.
For example, the image analysis system may identify the license plate information of the target vehicle from the first image, and then determine the province information of the target vehicle according to the province field in the license plate information. For example, when the image analysis system recognizes that the province field in the license plate information of the target vehicle is "beijing", it may determine that the province information of the target vehicle is "beijing". When the license plate information of the target vehicle cannot be identified or the province field in the license plate information of the target vehicle cannot be identified, the image analysis system can determine that the province information of the target vehicle cannot be acquired according to the first image.
For example, for the target vehicle identified in fig. 2, since the image resolution is low, the image analysis system cannot identify the province field in the license plate information of the target vehicle, and thus cannot determine the province information of the target vehicle according to the license plate information, and therefore, the image analysis system may determine that the preset information of the target vehicle cannot be acquired.
S103, acquiring the corresponding relation between the pre-stored identification information of each image acquisition device and default information, identifying target default information corresponding to the identification information of the target image acquisition device, and determining the target default information as the preset information of the target vehicle.
In the embodiment of the present invention, when the image analysis system determines that the preset information of the target vehicle cannot be acquired from the first image, the image analysis system may determine the preset information of the target vehicle according to a correspondence relationship between the pre-stored identification information of each image capturing device and the default information.
Specifically, the image analysis system may obtain a correspondence between the identification information of each image capturing device and default information that is stored in advance. For example, the image analysis system may obtain, from a local device or from an external device, a correspondence between the identification information and default information of each image capturing device that is saved in advance.
Further, the image analysis system may identify target default information corresponding to the identification information of the target image capturing device in the obtained correspondence between the identification information of each image capturing device and the default information. Specifically, the image analysis system may identify, in the identification information of each image capturing device, identification information that is the same as the identification information of the target image capturing device, and determine default information corresponding to the identified identification information as target default information. After identifying the target default information corresponding to the identification information of the target image acquisition device, the image analysis system may determine the target default information as preset information of the target vehicle.
For example, when the correspondence between the identification information of each image capturing device acquired by the image analysis system and the default information is shown in table 1, and the identification information of the target image capturing device is 02, the target default information corresponding to the identification information of the target image capturing device, which is recognized by the target image analysis system, is: beijing. Further, the image analysis system may determine that the province information of the target vehicle is: beijing.
In the embodiment of the invention, the corresponding relation between the identification information of each image acquisition device and the default information can be preserved in advance, each default information can be determined according to the image acquired by each image acquisition device, when the first image sent by the target image acquisition device is received and the preset information of the target vehicle can not be acquired according to the first image, the target default information corresponding to the identification information of the target image acquisition device can be identified in the corresponding relation between the identification information of each image acquisition device and the default information preserved in advance, and the target default information is determined as the preset information of the target vehicle. In the embodiment of the invention, the searched target default information corresponds to the target image acquisition equipment, so that the accuracy of information determination can be improved.
As an implementation manner of the embodiment of the present invention, after the image analysis system stores the corresponding relationship between the identification information of the target image capturing device and the default information in advance, in some cases, if the target image capturing device is moved and the area where the target image capturing device is located changes, the default information corresponding to the target image capturing device stored in advance may not be accurate any more.
Therefore, in the embodiment of the invention, the image analysis system can update the default information corresponding to the target image acquisition equipment so as to ensure the accuracy of the default information corresponding to the target image acquisition equipment and further ensure the accuracy of information determination.
As shown in fig. 3, the information determining method provided in the embodiment of the present invention, when the image capturing device determines that the preset information of the target vehicle can be acquired through the first image, may further include the following steps:
and S104, correspondingly storing the identification information of the target image acquisition equipment and the acquired preset information of the target vehicle.
In the embodiment of the present invention, when the image analysis system acquires the preset information of the target vehicle according to the first image, the image analysis system may correspondingly store the identification information of the target image acquisition device and the preset information of the target vehicle, so as to update the default information corresponding to the target image acquisition device according to the stored information.
And S105, according to a set time interval, identifying preset information different from the target default information in each preset information of the target vehicle stored in a first preset time period.
In the embodiment of the present invention, the image analysis system may identify preset information different from the target default information among the preset information of the target vehicle stored in the first preset time period at set time intervals, such as 2 minutes, 5 minutes, 10 minutes, and the like. The first preset time period may be, for example, the last 2 hours, 5 hours, 12 hours, and the like.
For example, when the target default information corresponding to the target image capturing device is "beijing", the image analysis system may identify the preset information other than "beijing" among the preset information of the target vehicle stored for the first preset time period.
And S106, judging whether the number of the identified preset information is greater than a first preset threshold value, and executing the step S107 when the number of the identified preset information is greater than the first preset threshold value.
After the preset information different from the target default information is identified, the image analysis system may determine whether the number of the identified preset information is greater than a first predetermined threshold value, so as to determine whether the stored default information corresponding to the target image acquisition device is accurate. The first preset threshold may be 50, 100, 200, 300, or the like.
And S107, updating default information corresponding to the identification information of the target image acquisition equipment according to each preset information of the target vehicle stored in a second preset time period.
When the image analysis system determines that the number of the preset information different from the target default information is larger than a first preset threshold value, it indicates that the currently stored default information corresponding to the target image acquisition device is not accurate enough, and the region where the target image acquisition device is located may have changed. In this case, the image analysis system may update default information corresponding to the target image capturing device.
Specifically, the image analysis system may update default information corresponding to the identification information of the target image acquisition device according to each preset information of the target vehicle stored within a second preset time period. The second preset time period may be the same as or different from the first preset time period. The image analysis system can count the number of different types of preset information in each preset information stored in a second preset time period; and determining the category of the preset information with the largest quantity, and updating the preset information of the category into default information corresponding to the identification information of the target image acquisition equipment.
For example, when the image analysis system determines that each preset information and the corresponding quantity stored in the second preset time period are respectively: shanghai-03; shanxi-08; beijing-11; hebei-89; the image analysis system may determine that the largest amount of preset information is "north river" and determine that the preset information is the default information corresponding to the identification information of the target image acquisition device.
In the embodiment of the invention, the image analysis system can update the stored default information corresponding to each image acquisition device according to the preset information of the target vehicle stored in the latest period of time, so that the accuracy of the default information corresponding to each image acquisition device is ensured, and the accuracy of information determination is further ensured.
In the embodiment of the present invention, the image analysis system may pre-store the correspondence between the identification information of each image capturing device and the default information. Specifically, as shown in fig. 4, the information determining method provided in the embodiment of the present invention may further include the following steps:
s201, aiming at each image acquisition device, receiving and saving a second image sent by the image acquisition device and identification information of the image acquisition device.
In the embodiment of the present invention, the image analysis system may receive, for each image capturing device, the second image sent by the image capturing device and the identification information of the image capturing device.
S202, identifying the target vehicle included in the second image, and acquiring preset information of the target vehicle according to the second image.
After the image analysis system receives the second image, the target vehicle included in the second image may be identified. For example, the image analysis system may identify a vehicle matching the license plate information in the second image according to the license plate information of the target vehicle sent by the image acquisition device, and further determine the vehicle as the target vehicle. Alternatively, the image analysis system may also determine a characteristic region of the second image that includes the target vehicle, then identify vehicles in the characteristic region, and determine the identified vehicles as the target vehicles.
After the target vehicle included in the second image is determined, the image analysis system may further obtain preset information of the target vehicle, such as province information, according to the second image. Specifically, the image analysis system may identify license plate information of the target vehicle from the second image, and determine the province information of the target vehicle according to the province field in the license plate information.
For example, when the image analysis system identifies that the province field in the license plate information of the target vehicle is "beijing", it may determine that the province information of the target vehicle is "beijing"; when the image analysis system recognizes that the province field in the license plate information of the target vehicle is "promote", it may determine that the province information of the target vehicle is "shanxi".
And S203, storing the corresponding relation between the identification information of the image acquisition equipment and the preset information.
After the preset information of the target vehicle included in the second image is determined, the image analysis system may store a corresponding relationship between the identification information of the image acquisition device and the preset information. For example, the image analysis system may store the identification information and the preset information of the image capturing device locally, or may store the identification information and the preset information in an external device that establishes a connection relationship with itself.
Optionally, the image analysis system may store, in groups, preset information corresponding to the identification information of each image capturing device for each image capturing device. For example, the correspondence between the identification information of each image capturing device saved by the image analysis system and the preset information may be as shown in table 2:
TABLE 2
Figure BDA0001162810960000131
Figure BDA0001162810960000141
Table 2 only shows a schematic corresponding relationship between the identification information of each image capturing device stored in the image analysis system and the preset information, where the identification information and the number of the corresponding preset information do not form a limitation on the information stored in the image analysis system.
And S204, when the number of the stored preset information corresponding to the identification information of the image acquisition equipment is larger than a second preset threshold value, determining and storing default information corresponding to the identification information of the target image acquisition equipment.
When the number of the preset information corresponding to the image capturing device is greater than a second preset threshold, such as 200, 500, 1000, and the like, the image analysis system may determine and store default information corresponding to the image capturing device according to the preset information corresponding to the identification information of the image capturing device.
Specifically, the image analysis system may count the number of different types of preset information in each preset information corresponding to the stored identification information of the image capturing device, determine the type of the preset information with the largest number, determine the type of the preset information as default information corresponding to the identification information of the image capturing device, and store the default information.
For example, when the image analysis system is directed to any image acquisition device, the result of counting the number of different types of preset information is as follows: beijing-780; when hebei-102, it may determine that the default information corresponding to the identification information of the image capturing device is "beijing".
In this embodiment, the image analysis system may pre-store a correspondence between the identification information of each image acquisition device and the default information, and further, when the first image sent by the target image acquisition device is received and the preset information of the target vehicle cannot be acquired according to the first image, may identify the target default information corresponding to the identification information of the target image acquisition device in the pre-stored correspondence between the identification information of each image acquisition device and the default information, and determine the target default information as the preset information of the target vehicle, thereby improving accuracy of information determination.
As an optional implementation manner of the embodiment of the present invention, for a certain image capturing device, there may be a plurality of preset information with the largest number in preset information corresponding to identification information of the image capturing device stored in an image analysis system. For example, for any image acquisition device, the result of counting the number of different types of preset information may be: beijing-268; hebei-268.
When determining default information corresponding to any image acquisition device, the image analysis system can judge whether the category number of the preset information with the largest number is 1; and when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
When the image analysis system determines that the number of categories of the preset information with the largest number is not 1, the image analysis system can continuously store the corresponding relation between the identification information of the image acquisition device and each preset information, periodically detect whether the number of categories of the preset information with the largest number is 1, and when the number of categories of the preset information with the largest number is 1, determine the preset information of the category as default information corresponding to the identification information of the image acquisition device and store the default information.
Corresponding to the above method embodiment, the embodiment of the present invention also provides a corresponding device embodiment.
Fig. 5 is an information determining apparatus according to an embodiment of the present invention, where the apparatus includes:
a first receiving module 510, configured to receive a first image sent by a target image capturing device and identification information of the target image capturing device, and determine a target vehicle included in the first image;
a first judging module 520, configured to judge whether preset information of the target vehicle can be acquired according to the first image;
an executing module 530, configured to, when the first determining module 420 determines that the preset information of the target vehicle cannot be obtained according to the first image, obtain a correspondence between pre-stored identification information of each image capturing device and default information, identify target default information corresponding to the identification information of the target image capturing device, and determine the target default information as the preset information of the target vehicle.
In the embodiment of the invention, the corresponding relation between the identification information of each image acquisition device and the default information can be preserved in advance, each default information can be determined according to the image acquired by each image acquisition device, when the first image sent by the target image acquisition device is received and the preset information of the target vehicle can not be acquired according to the first image, the target default information corresponding to the identification information of the target image acquisition device can be identified in the corresponding relation between the identification information of each image acquisition device and the default information preserved in advance, and the target default information is determined as the preset information of the target vehicle. In the embodiment of the invention, the searched target default information corresponds to the target image acquisition equipment, so that the accuracy of information determination can be improved.
As an implementation manner of the embodiment of the present invention, as shown in fig. 6, the apparatus further includes:
the first storage module 540 is configured to, when the first determining module 520 determines that the preset information of the target vehicle can be obtained according to the first image, correspondingly store the identification information of the target image capturing device and the obtained preset information of the target vehicle.
As an implementation manner of the embodiment of the present invention, the apparatus further includes:
a first identifying module 550, configured to identify preset information different from the target default information, from among preset information of the target vehicle stored in a first preset time period;
a second determining module 560, configured to determine whether the amount of the identified preset information is greater than a first predetermined threshold;
an updating module 570, configured to update default information corresponding to the identification information of the target image capturing device according to each piece of preset information of the target vehicle stored in a second preset time period when the second determining module 560 determines that the number of the identified preset information is greater than a first preset threshold.
As an implementation manner of the embodiment of the present invention, the update module 570 includes:
a first statistical submodule (not shown in the figure) configured to count the number of different types of preset information in each preset information stored in the second preset time period;
and an updating sub-module (not shown in the figure) configured to determine the category of the largest amount of preset information, and update the preset information of the category to default information corresponding to the identification information of the target image capturing device.
As an implementation manner of the embodiment of the present invention, as shown in fig. 7, the apparatus further includes:
a second receiving module 710, configured to receive and store, for each image acquisition device, a second image sent by the image acquisition device and identification information of the image acquisition device;
a second identification module 720, configured to identify a target vehicle included in the second image, and obtain preset information of the target vehicle according to the second image;
the second storage module 730, configured to store a corresponding relationship between the identification information of the image capturing device and the preset information;
the third storage module 740 is configured to determine and store default information corresponding to the identification information of the target image capturing device when the number of the stored preset information corresponding to the identification information of the image capturing device is greater than a second preset threshold.
As an implementation manner of the embodiment of the present invention, the third storage module 740 includes:
a second counting submodule (not shown in the figure) for counting the number of different types of preset information in each preset information corresponding to the stored identification information of the image acquisition device;
and a storage sub-module (not shown in the figure) configured to determine a category of the largest amount of preset information, determine the preset information of the category as default information corresponding to the identification information of the image capturing device, and store the default information.
As an implementation manner of the embodiment of the present invention, the storage sub-module is specifically configured to: judging whether the number of categories of the preset information with the largest number is 1; when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information; and when the category number of the preset information with the largest quantity is not 1, continuously storing the corresponding relation between the identification information of the image acquisition equipment and each preset information, periodically detecting whether the category number of the preset information with the largest quantity is 1, and when the category number of the preset information with the largest quantity is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (6)

1. An information determination method, characterized in that the method comprises:
receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment, and determining a target vehicle included in the first image;
judging whether preset information of the target vehicle can be acquired according to the first image, wherein the preset information is provincial information;
when the preset information of the target vehicle can be acquired according to the first image, correspondingly storing the identification information of the target image acquisition equipment and the acquired preset information of the target vehicle;
according to a set time interval, identifying preset information different from target default information in each preset information of the target vehicle stored in a first preset time period, wherein the target default information is default information corresponding to the identification information of the target image acquisition equipment, and the default information is default provincial information;
judging whether the quantity of the identified preset information is larger than a first preset threshold value or not;
when the number of the identified preset information is larger than a first preset threshold value, counting the number of different types of preset information in each preset information stored in a second preset time period;
determining the category of the preset information with the largest quantity, and updating the preset information of the category into default information corresponding to the identification information of the target image acquisition equipment;
and when the preset information of the target vehicle cannot be acquired according to the first image, acquiring a corresponding relation between pre-stored identification information and default information of each image acquisition device, identifying the target default information, and determining the target default information as the preset information of the target vehicle.
2. The method according to claim 1, wherein the step of pre-storing the correspondence between the identification information of each image capturing device and the default information comprises:
aiming at each image acquisition device, receiving and storing a second image sent by the image acquisition device and identification information of the image acquisition device;
identifying a target vehicle included in the second image, and acquiring preset information of the target vehicle according to the second image;
storing the corresponding relation between the identification information of the image acquisition equipment and the preset information;
when the number of the stored preset information corresponding to the identification information of the image acquisition equipment is larger than a second preset threshold value, counting the number of different types of preset information in each preset information corresponding to the stored identification information of the image acquisition equipment;
and determining the category of the preset information with the largest quantity, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment, and storing the default information.
3. The method according to claim 2, wherein the determining the category of the preset information with the largest number determines the preset information of the category as default information corresponding to the identification information of the image capturing device and stores the default information, and comprises:
judging whether the number of categories of the preset information with the largest number is 1;
when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information;
and when the category number of the preset information with the largest quantity is not 1, continuously storing the corresponding relation between the identification information of the image acquisition equipment and each preset information, periodically detecting whether the category number of the preset information with the largest quantity is 1, and when the category number of the preset information with the largest quantity is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
4. An information determination apparatus, characterized in that the apparatus comprises:
the system comprises a first receiving module, a second receiving module and a display module, wherein the first receiving module is used for receiving a first image sent by target image acquisition equipment and identification information of the target image acquisition equipment and determining a target vehicle included in the first image;
the first judging module is used for judging whether preset information of the target vehicle can be acquired according to the first image, wherein the preset information is province information;
the first storage module is used for correspondingly storing the identification information of the target image acquisition equipment and the acquired preset information of the target vehicle when the first judgment module judges that the preset information of the target vehicle can be acquired according to the first image;
the first identification module is used for identifying preset information different from target default information in all preset information of the target vehicle stored in a first preset time period according to a set time interval, wherein the target default information is default information corresponding to identification information of the target image acquisition equipment, and the default information is default provincial information;
the second judgment module is used for judging whether the quantity of the identified preset information is greater than a first preset threshold value or not;
the updating module is used for updating default information corresponding to the identification information of the target image acquisition equipment according to each preset information of the target vehicle stored in a second preset time period when the second judging module judges that the number of the identified preset information is larger than a first preset threshold value;
the execution module is used for acquiring the corresponding relation between the pre-stored identification information of each image acquisition device and default information when the first judgment module judges that the preset information of the target vehicle cannot be acquired according to the first image, identifying the target default information, and determining the target default information as the preset information of the target vehicle;
the update module includes:
the first statistic submodule is used for counting the number of different types of preset information in each preset information stored in the second preset time period;
and the updating submodule is used for determining the category of the preset information with the largest quantity and updating the preset information of the category into default information corresponding to the identification information of the target image acquisition equipment.
5. The apparatus of claim 4, further comprising:
the second receiving module is used for receiving and storing a second image sent by the image acquisition equipment and the identification information of the image acquisition equipment aiming at each image acquisition equipment;
the second identification module is used for identifying a target vehicle included in the second image and acquiring preset information of the target vehicle according to the second image;
the second storage module is used for storing the corresponding relation between the identification information of the image acquisition equipment and the preset information;
the third storage module comprises a second statistic submodule and a storage submodule;
the second counting submodule is used for counting the number of different types of preset information in each preset information corresponding to the stored identification information of the image acquisition equipment;
and the storage submodule is used for determining the category of the preset information with the largest quantity, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
6. The apparatus of claim 5, wherein the storage submodule is specifically configured to: judging whether the number of categories of the preset information with the largest number is 1; when the category number of the most preset information is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information; and when the category number of the preset information with the largest quantity is not 1, continuously storing the corresponding relation between the identification information of the image acquisition equipment and each preset information, periodically detecting whether the category number of the preset information with the largest quantity is 1, and when the category number of the preset information with the largest quantity is 1, determining the preset information of the category as default information corresponding to the identification information of the image acquisition equipment and storing the default information.
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