CN112820113A - On-site identification method based on travel track identification - Google Patents
On-site identification method based on travel track identification Download PDFInfo
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- CN112820113A CN112820113A CN201911195153.5A CN201911195153A CN112820113A CN 112820113 A CN112820113 A CN 112820113A CN 201911195153 A CN201911195153 A CN 201911195153A CN 112820113 A CN112820113 A CN 112820113A
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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Abstract
The invention relates to a field identification method based on travel track identification, and the platform comprises: the data snapshot mechanism comprises a plurality of gun-shaped camera devices, is respectively arranged at each traffic intersection in a city and is used for capturing traffic intersection images and identifying license plate numbers of vehicles in the traffic intersection images when the vehicles appear at the corresponding traffic intersections; and the restricted traffic monitoring equipment is connected with the gun-shaped camera equipment and is used for outputting the license plate numbers with the illegal restricted traffic rules as license plate numbers to be analyzed when the license plate numbers with the illegal restricted traffic rules exist in the license plate numbers output by the gun-shaped camera equipment. The field identification method based on the travel track recognition is convenient to operate and reliable to operate. The vehicle violating the restriction is identified by adopting an automatic mode, so that the confirmation of the vehicle restriction related data by the medical personnel and the traffic management department can be facilitated.
Description
Technical Field
The invention relates to the field of traffic management, in particular to a field identification method based on travel track identification.
Background
According to the requirements and regulations of traffic laws and actual conditions of road traffic, the means of education, technology and the like are used for reasonably limiting and scientifically organizing and directing traffic. The relation among people, vehicles and roads in road traffic is correctly processed, so that the traffic is as safe and smooth as possible, the pollution is small, and the energy consumption is low.
The traffic management is divided into: (1) traffic separation principle. Traffic flows of different types and different flow directions on the road are separated in time and space, and traffic conflicts are avoided. (2) And (4) reducing the total traffic. Some vehicle types are limited to travel on the road through traffic management measures, so that the total traffic is reduced, and the travel time and the travel distance are shortest. (3) Traffic continuity principle. The traffic activities of most people are ensured not to be interrupted in time, space and traffic modes. (4) Traffic sharing principle. Reasonably uses the existing roads, scientifically adjusts and dredges, and makes the traffic load of each position of the road network uniform. (5) The principle of precedence. The priority is given to the flow direction of the automobile and the type of the automobile. (6) Put right principle. The lanes are arranged according to the principle that the speed of the traffic flow decreases from left to right.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a field identification platform based on travel track recognition, which can automatically recognize vehicle targets for emergency medical treatment and provide important reference data for follow-up cancellation and punishment.
Therefore, the invention at least needs to have the following three key points:
(1) track detection is carried out on each vehicle violating the restriction rules based on the distributed monitoring platform, and when the terminal point of the vehicle track is identified as a hospital, punishing and suspicious identification is carried out on the license plate number, so that complicated manual communication links are reduced;
(2) when the destination in the driving track is a traffic intersection with the distance from a certain hospital in the city being less than or equal to a preset distance threshold, identifying the corresponding license plate number as a punishment doubt number;
(3) and extracting the running track of the vehicle target based on a plurality of traffic intersections corresponding to a plurality of images of the vehicle target violating the restriction rules and a plurality of capture times corresponding to the images.
According to an aspect of the present invention, there is provided a driving trajectory recognition-based field identification method, the method including using a driving trajectory recognition-based field identification platform to perform field identification of a license plate number when a vehicle trajectory corresponding to the license plate number violating a restriction rule is monitored as a hospitalization trajectory, the driving trajectory recognition-based field identification platform including:
the data snapshot mechanism comprises a plurality of gun-shaped camera devices, is respectively arranged at each traffic intersection in a city and is used for capturing traffic intersection images and identifying license plate numbers of vehicles in the traffic intersection images when the vehicles appear at the corresponding traffic intersections;
the restricted traffic monitoring equipment is connected with the gun-shaped camera equipment and is used for outputting the license plate numbers with the illegal restricted traffic rules as license plate numbers to be analyzed when the license plate numbers with the illegal restricted traffic rules exist in the license plate numbers output by the gun-shaped camera equipment;
the image identification equipment is respectively connected with the traffic control monitoring equipment and the data capturing mechanism and is used for outputting a plurality of traffic intersection images with license plate numbers to be analyzed appearing in the traffic intersection images output by the gun-shaped camera equipment within a preset time interval as a plurality of images to be analyzed;
the track extraction equipment is connected with the image identification equipment and used for extracting the running track of the vehicle corresponding to the license plate number to be analyzed based on a plurality of traffic intersections corresponding to the images to be analyzed respectively and a plurality of capturing times corresponding to the images to be analyzed respectively;
the real-time identification equipment is connected with a supervision server of a traffic management department, is also connected with the track extraction equipment and is used for identifying the license plate number to be analyzed as a punishment doubt number when the end point in the driving track is a traffic intersection with the distance from a certain hospital in a city being less than or equal to a preset distance threshold;
the real-time identification equipment is also used for identifying the license plate number to be analyzed as a punishment confirmation number when the end point in the driving track is not a traffic intersection with the distance from a certain hospital in the city being less than or equal to a preset distance threshold;
each gun-shaped camera device comprises a gun-shaped camera, an image enhancement unit and a license plate recognition unit, wherein the image enhancement unit is respectively connected with the gun-shaped camera and the license plate recognition unit;
in each gun-type camera device, the gun-type camera is used for capturing traffic intersection images when vehicles appear at corresponding traffic intersections;
in each gun-type camera device, the image enhancement unit is used for performing image enhancement processing based on exponential transformation on the traffic intersection image sent by the gun-type camera to obtain a corresponding scene enhancement image.
The field identification method based on the travel track recognition is convenient to operate and reliable to operate. The vehicle violating the restriction is identified by adopting an automatic mode, so that the confirmation of the vehicle restriction related data by the medical personnel and the traffic management department can be facilitated.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a traffic intersection to which a field identification platform based on travel track recognition is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the driving trajectory recognition-based site identification method according to the present invention will be described in detail with reference to the accompanying drawings.
Some cities insist on preferentially developing public transportation, implement a scheme of relieving urban traffic congestion by stages, make a head-off road, perfect street-crossing facilities, optimize level crossing intersections, smooth a road micro-circulation system, strive to construct a safe, convenient and efficient comprehensive transportation system, and facilitate citizens going out; implementing the standard of differential matching construction of parking spaces, properly improving the price of parking charge and strictly regulating the occupied parking; the intelligent traffic system is accelerated to build, the modern traffic civilization construction is greatly promoted, the traffic order is further improved, and the management and service level are improved.
Currently, only the confirmation of the traffic restriction is designed and modified for the relevant monitoring platform in the city with traffic restriction rules of the vehicles, and the attention is not paid to the identification of some traffic restriction vehicles in emergency. However, once the emergency violates the limit travel, for example, when the emergency medical treatment is performed, the first-hand data is lacked for confirming whether the emergency medical treatment is performed, which often causes the medical personnel and the road supervision department to be involved in a tedious and tedious manual communication process.
In order to overcome the defects, the invention builds a field identification method based on the travel track recognition, the method comprises the step of using a field identification platform based on the travel track recognition to carry out the field identification of the license plate number when the vehicle track corresponding to the license plate number violating the restriction rules is monitored as the hospitalizing track, and the field identification platform based on the travel track recognition can effectively solve the corresponding technical problems.
Fig. 1 is a schematic view of a traffic intersection to which a field identification platform based on travel track recognition is applied according to an embodiment of the present invention.
The field identification platform based on the travel track identification comprises the following components:
the data snapshot mechanism comprises a plurality of gun-shaped camera devices, is respectively arranged at each traffic intersection in a city and is used for capturing traffic intersection images and identifying license plate numbers of vehicles in the traffic intersection images when the vehicles appear at the corresponding traffic intersections;
the restricted traffic monitoring equipment is connected with the gun-shaped camera equipment and is used for outputting the license plate numbers with the illegal restricted traffic rules as license plate numbers to be analyzed when the license plate numbers with the illegal restricted traffic rules exist in the license plate numbers output by the gun-shaped camera equipment;
the image identification equipment is respectively connected with the traffic control monitoring equipment and the data capturing mechanism and is used for outputting a plurality of traffic intersection images with license plate numbers to be analyzed appearing in the traffic intersection images output by the gun-shaped camera equipment within a preset time interval as a plurality of images to be analyzed;
the track extraction equipment is connected with the image identification equipment and used for extracting the running track of the vehicle corresponding to the license plate number to be analyzed based on a plurality of traffic intersections corresponding to the images to be analyzed respectively and a plurality of capturing times corresponding to the images to be analyzed respectively;
the real-time identification equipment is connected with a supervision server of a traffic management department, is also connected with the track extraction equipment and is used for identifying the license plate number to be analyzed as a punishment doubt number when the end point in the driving track is a traffic intersection with the distance from a certain hospital in a city being less than or equal to a preset distance threshold;
the real-time identification equipment is also used for identifying the license plate number to be analyzed as a punishment confirmation number when the end point in the driving track is not a traffic intersection with the distance from a certain hospital in the city being less than or equal to a preset distance threshold;
each gun-shaped camera device comprises a gun-shaped camera, an image enhancement unit and a license plate recognition unit, wherein the image enhancement unit is respectively connected with the gun-shaped camera and the license plate recognition unit;
in each gun-type camera device, the gun-type camera is used for capturing traffic intersection images when vehicles appear at corresponding traffic intersections;
in each gun-type camera device, the image enhancement unit is used for performing image enhancement processing based on exponential transformation on the traffic intersection image sent by the gun-type camera to obtain a corresponding scene enhancement image.
Next, the specific structure of the field marking platform based on the travel track recognition according to the present invention will be further described.
In the field identification platform based on travel track recognition:
in each gun-type camera device, the license plate recognition unit is used for recognizing the license plate number of the vehicle target with the shallowest depth of field in the field enhanced image based on an OCR recognition mode.
The field identification platform based on the travel track recognition can further comprise:
and a flash controller located at one side of the gun type image pickup apparatus for controlling the on/off of the flash based on the real-time ambient brightness.
In the field identification platform based on travel track recognition:
controlling the flash to turn on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
In the field identification platform based on travel track recognition:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is greater than the preset brightness threshold value, the flash lamp is turned off.
In the field identification platform based on travel track recognition:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold, turning on the flash lamp and adjusting the flash brightness of the flash lamp according to the real-time environment brightness, wherein the lower the real-time environment brightness is, the higher the flash brightness of the flash lamp is.
In the field identification platform based on travel track recognition:
and the GPS positioning device is arranged at one side of the real-time identification device and is used for providing the current GPS position of the real-time identification device.
In the field identification platform based on travel track recognition:
alternatively, a Galileo navigation device is used in place of the GPS positioning device.
In the field identification platform based on travel track recognition:
the field identification platform based on the driving track identification is used for carrying out field identification on the license plate number when the vehicle track corresponding to the license plate number violating the restriction rules is monitored as the hospitalizing track.
In addition, the Galileo satellite navigation system (Galileo satellite navigation system) is a global satellite navigation positioning system developed and established by the european union, which was published by the european commission 2.1999, and the european commission and the european office are jointly responsible. The system consists of 30 satellites with the orbit height of 23616km, wherein 27 working satellites and 3 backup satellites. The satellite orbit has a height of about 2.4 kilometers and is located in 3 orbital planes with an inclination of 56 degrees. By 2016 for 12 months, 18 working satellites have been launched, with Early Operating Capability (EOC), and planned to have Full Operating Capability (FOC) in 2019. All 30 satellites (adjusted to 24 working satellites and 6 backup satellites) are planned to be transmitted in 2020
The galileo system is more advanced and more reliable than the GPS system in the united states. The united states GPS provides satellite signals to other countries that can only find objects about 10 meters long on the ground, whereas galileo satellites can find objects 1 meter long. A military expert figuratively says that the GPS system can only find streets, while Galileo can find family.
The galileo project has a key meaning to the european union, which not only makes people's life more convenient, but also brings considerable economic benefits to the industry and business of the european union. More importantly, the European Union has a global satellite navigation system of the European Union, which is helpful for breaking the monopoly of the U.S. GPS navigation system, thereby obtaining a favorable position in the global high-tech competition wave and creating conditions for building European independent defense in the future.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A driving trajectory recognition-based field identification method, the method comprising using a driving trajectory recognition-based field identification platform to perform field identification of a license plate number when a vehicle trajectory corresponding to the license plate number violating a restriction rule is monitored as a hospitalization trajectory, the driving trajectory recognition-based field identification platform comprising:
the data snapshot mechanism comprises a plurality of gun-shaped camera devices, is respectively arranged at each traffic intersection in a city and is used for capturing traffic intersection images and identifying license plate numbers of vehicles in the traffic intersection images when the vehicles appear at the corresponding traffic intersections;
the restricted traffic monitoring equipment is connected with the gun-shaped camera equipment and is used for outputting the license plate numbers with the illegal restricted traffic rules as license plate numbers to be analyzed when the license plate numbers with the illegal restricted traffic rules exist in the license plate numbers output by the gun-shaped camera equipment;
the image identification equipment is respectively connected with the traffic control monitoring equipment and the data capturing mechanism and is used for outputting a plurality of traffic intersection images with license plate numbers to be analyzed appearing in the traffic intersection images output by the gun-shaped camera equipment within a preset time interval as a plurality of images to be analyzed;
the track extraction equipment is connected with the image identification equipment and used for extracting the running track of the vehicle corresponding to the license plate number to be analyzed based on a plurality of traffic intersections corresponding to the images to be analyzed respectively and a plurality of capturing times corresponding to the images to be analyzed respectively;
the real-time identification equipment is connected with a supervision server of a traffic management department, is also connected with the track extraction equipment and is used for identifying the license plate number to be analyzed as a punishment doubt number when the end point in the driving track is a traffic intersection with the distance from a certain hospital in a city being less than or equal to a preset distance threshold;
the real-time identification equipment is also used for identifying the license plate number to be analyzed as a punishment confirmation number when the end point in the driving track is not a traffic intersection with the distance from a certain hospital in the city being less than or equal to a preset distance threshold;
each gun-shaped camera device comprises a gun-shaped camera, an image enhancement unit and a license plate recognition unit, wherein the image enhancement unit is respectively connected with the gun-shaped camera and the license plate recognition unit;
in each gun-type camera device, the gun-type camera is used for capturing traffic intersection images when vehicles appear at corresponding traffic intersections;
in each gun-type camera device, the image enhancement unit is used for performing image enhancement processing based on exponential transformation on the traffic intersection image sent by the gun-type camera to obtain a corresponding scene enhancement image.
2. The method of claim 1, wherein:
in each gun-type camera device, the license plate recognition unit is used for recognizing the license plate number of the vehicle target with the shallowest depth of field in the field enhanced image based on an OCR recognition mode.
3. The method of claim 2, wherein the system further comprises:
and a flash controller located at one side of the gun type image pickup apparatus for controlling the on/off of the flash based on the real-time ambient brightness.
4. The method of claim 3, wherein:
controlling the flash to turn on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold value, the flash lamp is turned on.
5. The method of claim 4, wherein:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is greater than the preset brightness threshold value, the flash lamp is turned off.
6. The method of claim 5, wherein:
the flash controller controlling the flash to be turned on and off based on the real-time ambient brightness includes: and when the real-time environment brightness is less than or equal to the preset brightness threshold, turning on the flash lamp and adjusting the flash brightness of the flash lamp according to the real-time environment brightness, wherein the lower the real-time environment brightness is, the higher the flash brightness of the flash lamp is.
7. The method of claim 6, wherein the system further comprises:
and the GPS positioning device is arranged at one side of the real-time identification device and is used for providing the current GPS position of the real-time identification device.
8. The method of claim 7, wherein:
alternatively, a Beidou satellite navigation device is used to replace the GPS positioning device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911195153.5A CN112820113A (en) | 2019-11-28 | 2019-11-28 | On-site identification method based on travel track identification |
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| CN201911195153.5A CN112820113A (en) | 2019-11-28 | 2019-11-28 | On-site identification method based on travel track identification |
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| CN112820113A true CN112820113A (en) | 2021-05-18 |
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| CN201911195153.5A Withdrawn CN112820113A (en) | 2019-11-28 | 2019-11-28 | On-site identification method based on travel track identification |
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