CN108765943A - Intelligent vehicle monitoring method, monitoring system and server - Google Patents
Intelligent vehicle monitoring method, monitoring system and server Download PDFInfo
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- CN108765943A CN108765943A CN201810540318.7A CN201810540318A CN108765943A CN 108765943 A CN108765943 A CN 108765943A CN 201810540318 A CN201810540318 A CN 201810540318A CN 108765943 A CN108765943 A CN 108765943A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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Abstract
The invention relates to the technical field of vehicle monitoring, in particular to an intelligent vehicle monitoring method, a monitoring system and a server, wherein the method comprises the following steps: acquiring geographic positions and video data of a plurality of monitoring cameras in a monitoring area; performing target identification on the vehicle in the video data to generate static attribute information of the vehicle; positioning and analyzing the vehicle based on the video data and the geographic position and the static attribute information of the corresponding monitoring camera to generate dynamic attribute information of the vehicle; and associating the vehicle attribute information with the corresponding vehicle in the video data, and displaying when the video data is played. According to the intelligent vehicle monitoring method, the intelligent vehicle monitoring system and the intelligent vehicle monitoring server, the vehicle attribute information is generated through the video data of the monitoring camera and the geographic position of the monitoring camera and is associated with the corresponding vehicle in the video data, so that the vehicle is monitored, a GPS and a driving recorder do not need to be installed on the vehicle, and the monitoring strength and the accuracy of the vehicle are improved.
Description
Technical field
The present invention relates to vehicle monitoring technical fields, and in particular to a kind of Vehicular intelligent monitoring method, monitoring system and clothes
Business device.
Background technology
Based on the statistic analysis result to particularly serious road traffic accident in recent years, dump truck, coach, tourism packet
The emphasis vehicles such as vehicle, heavy motor truck, tractor truck, Transportation of Dangerous Chemicals vehicle are to cause the dead group of group to hinder especially big road to hand over
Interpreter thus occur important source.Therefore, emphasis road vehicle traffic safety work how is carried out, prevents group group and hinders especially big road
Road traffic accident is the key subjects of traffic administration industry primarily researched and solved.
Currently, the emphasis vehicle supervision platform of government is tentatively established, operation principle is：By being installed for emphasis vehicle
Tachographs with positioning function grasp the dynamic data per trolley, vehicle are made to be in government department and vehicle category in time
Under the control of enterprise.
However, current emphasis vehicle supervision platform exists as following drawbacks：If vehicle be fitted without Tachographs or
Tachographs break down, then can not be monitored；To Tachographs, there has been no general technical standards and rule in each province and city
Model may have that location data can not access, it is therefore desirable to road monitoring for the emphasis vehicle that strange land is driven into
Equipment is upgraded, to improve existing emphasis vehicle supervision platform.
In consideration of it, overcome the above defect in the prior art, a kind of new Vehicular intelligent monitoring method, monitoring system are provided
And server becomes this field technical problem urgently to be resolved hurrily.
Invention content
It is an object of the invention to the drawbacks described above for the prior art, a kind of Vehicular intelligent monitoring method, monitoring are provided
System and server.
The present invention provides first aspects to provide a kind of Vehicular intelligent monitoring method, which includes：
Obtain the geographical location of multiple monitoring cameras and video data in monitoring area；
Target identification is carried out to the vehicle in the video data, to generate the static attribute information of vehicle, the static state
Attribute information includes at least one of license plate number, vehicle class and/or vehicle color；
Geographical location and the static attribute information based on the video data and its corresponding monitoring camera are to vehicle
Positioning analysis is carried out, to generate the dynamic attribute information of vehicle, the dynamic attribute information includes running time and traveling-position；
And
Using the static attribute information and the dynamic attribute information as vehicle attribute information, association to the video counts
Correspondence vehicle in, and shown when playing the video data.
Preferably, which further includes：
Searching keyword is received, fuzzy query is executed to the vehicle attribute information according to the searching keyword, to know
Other target vehicle；
The video clip containing target vehicle is intercepted from the video data according to fuzzy query result；
The video clip is spliced sequentially in time, generates the driving trace information of target vehicle.
Preferably, " according to the searching keyword to the vehicle attribute information execute fuzzy query " the step of include：
The synonym, hypernym and related term of the searching keyword are obtained, and it is that inquiry is crucial that priority orders, which are arranged,
Word, synonym, hypernym and related term；
It is retrieved in the vehicle attribute information according to the searching keyword, synonym, hypernym and related term,
To generate retrieval result；
The retrieval result is ranked up according to the corresponding priority orders.
Preferably, which further includes：
Vehicle attribute database is established, for storing vehicle attribute information；And
Keyword expansion database is established, synonym, hypernym and the related term for storing keyword and each word
Corresponding association ratio, the association ratio are used for the foundation as setting priority orders.
Preferably, further include before in the step of " the driving trace information for generating target vehicle "：
Receiving locus reduction instruction obtains the key point of road；
It reads the road key point and corresponds to video clip, to generate driving trace schematic diagram.
Preferably, which further includes：
The vehicle attribute information and default abnormal behaviour condition are compared, the abnormal behaviour includes：Speed is different
Often, route exception, car plate and vehicle color or vehicle class mismatch；
When the vehicle attribute information meets the abnormal behaviour condition, by corresponding vehicle attribute information storage in different
Normal database of record.
Second aspect of the present invention additionally provides a kind of intelligent monitoring system for vehicle, which includes：
Data acquisition module, for obtaining the geographical location of multiple monitoring cameras and video data in monitoring area；
Target identification module, for carrying out target identification to the vehicle in the video data, to generate the static state of vehicle
Attribute information, the static attribute information include at least one of license plate number, vehicle class and/or vehicle color；
Driving trace module, for geographical location based on the video data and its corresponding monitoring camera and described
Static attribute information carries out positioning analysis to vehicle, and to generate the dynamic attribute information of vehicle, the dynamic attribute information includes
Running time and traveling-position；And
Relating module, for using the static attribute information and the dynamic attribute information as vehicle attribute information, closing
The correspondence vehicle being coupled in the video data, and shown when playing the video data.
Preferably, which further includes：
Track of vehicle module, for receiving searching keyword, according to the searching keyword to the vehicle attribute information
Fuzzy query is executed, to identify target vehicle；It is intercepted from the video data according to fuzzy query result and contains target vehicle
Video clip；The video clip is spliced sequentially in time, generates the driving trace information of target vehicle.
Preferably, which further includes：
Activity recognition module, it is described different for comparing the vehicle attribute information and default abnormal behaviour condition
Chang Hangwei includes：Velocity anomaly, route exception, car plate and vehicle color or vehicle class mismatch, when the vehicle attribute is believed
When breath meets the abnormal behaviour condition, by corresponding vehicle attribute information storage in exception record database；
Exception record database, for storing the vehicle attribute information for meeting the abnormal behaviour condition.
Third aspect present invention provides a kind of server, which includes memory, processor and be stored in institute
The Vehicular intelligent monitoring programme run on memory and on the processor is stated, the processor executes the Vehicular intelligent prison
Above-mentioned Vehicular intelligent monitoring method is realized when controlling program.
Vehicular intelligent monitoring method, monitoring system and the server of the present invention by the video data of monitoring camera and its
Geographical location generates vehicle attribute information, and is associated with to the correspondence vehicle in the video data, to realize the monitoring to vehicle,
GPS and Tachographs are installed without vehicle, improve the control and monitoring to vehicle and accuracy.
Description of the drawings
Fig. 1 is the flow chart of the Vehicular intelligent monitoring method of first embodiment of the invention.
Fig. 2 is the flow chart of the Vehicular intelligent monitoring method of second embodiment of the invention.
Fig. 3 is the flow chart of the Vehicular intelligent monitoring method of third embodiment of the invention.
Fig. 4 is the structure diagram of the intelligent monitoring system for vehicle of first embodiment of the invention.
Fig. 5 is the structure diagram of the intelligent monitoring system for vehicle of second embodiment of the invention.
Fig. 6 is the structure diagram of the intelligent monitoring system for vehicle of third embodiment of the invention.
Fig. 7 is the Vehicular intelligent monitoring method of the present invention, the application scenario diagram of monitoring system and server.
Fig. 8 be the present invention intelligent monitoring system for vehicle in track of vehicle module principle schematic.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with the accompanying drawings and specific implementation
Invention is further described in detail for example.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention,
It is not intended to limit the present invention.
In order to keep the narration of this disclosure more detailed with it is complete, below for embodiments of the present invention with it is specific real
It applies example and proposes illustrative description；But this not implements or uses the unique forms of the specific embodiment of the invention.Embodiment
In cover multiple specific embodiments feature and to construction with operate these specific embodiments method and step it is suitable with it
Sequence.However, can also reach identical or impartial function and sequence of steps using other specific embodiments.
First embodiment of the invention provides a kind of Vehicular intelligent monitoring method, refering to Figure 1, the monitoring method packet
It includes：
S101 obtains the geographical location of multiple monitoring cameras and video data in monitoring area.
S102 carries out target identification, to generate the static attribute information of vehicle, the static state to the vehicle in the video data
Attribute information includes at least one of license plate number, vehicle class and/or vehicle color.
S103, geographical location and the static attribute information based on the video data and its corresponding monitoring camera are to vehicle
Carry out positioning analysis, to generate the dynamic attribute information of vehicle, which includes running time and traveling-position.
S104, using the static attribute information and the dynamic attribute information as vehicle attribute information, association to the video counts
Correspondence vehicle in, and shown when playing the video data.
In the present embodiment, monitoring area can be determined according to supervision demand, can be entire city scope or thing
Therefore multiple multiple emphasis sections or crossing or multiple key monitoring ranges etc., monitoring camera can be specially be arranged it is special
With camera, the traffic monitoring camera (electronic eyes) of traffic police's laying can also be accessed.
In step S101, geographical location and the video data for obtaining each monitoring camera are corresponded to respectively.In step
In S102, the static attribute information with vehicle is to obtain target to carry out target identification, target identification to the vehicle in video data
Object can be different vehicle or different vehicle type.In step s 103, by the video data, the geographical location, step
The static attribute information of vehicle, which combines, obtained by S102 is analyzed, and is corresponded to for each static attribute information and is obtained vehicle
Dynamic attribute information, for example, the first static attribute information includes：License plate number Hubei Province AJP337, compact car, black, corresponding
One dynamic attribute information includes all running times and traveling-position that above-mentioned trolley occurs in video data；For example, second
Static attribute information can only include vehicle class, for example, dump truck, lorry, corresponding second dynamic attribute information includes institute
There are the running time and traveling-position of the running time and traveling-position and all lorries of dump truck.It, will in step S104
In dynamic attribute information association to the video data obtained by static attribute information and step S103 obtained by step S102, the video counts
According to when playing, its static attribute information and dynamic attribute information all can accordingly be shown for each vehicle occurred in video.
Specifically, vehicle class may include cargo vehicle, offroad vehicle, dump truck, towing motorcar, special purpose vehicle,
Car, car, semitrailer and special semitrailer (number and type given tacit consent in type of vehicle)；Or vehicle class may include
Dump truck, coach, tourism hired car, heavy motor truck, tractor truck, Transportation of Dangerous Chemicals vehicle (Shenzhen's emphasis
The type of vehicle).
The Vehicular intelligent monitoring method of the present embodiment generates vehicle by the video data of monitoring camera and its geographical location
Attribute information, and be associated with to the correspondence vehicle in the video data, to realize the monitoring to vehicle, installed without vehicle
GPS and Tachographs improve the control and monitoring to vehicle and accuracy.
Second embodiment of the invention provides a kind of Vehicular intelligent monitoring method, please refers to shown in Fig. 2, the monitoring method packet
It includes：
S201 obtains the geographical location of multiple monitoring cameras and video data in monitoring area.
S202 carries out target identification, to generate the static attribute information of vehicle, the static state to the vehicle in the video data
Attribute information includes at least one of license plate number, vehicle class and/or vehicle color.
S203, geographical location and the static attribute information based on the video data and its corresponding monitoring camera are to vehicle
Carry out positioning analysis, to generate the dynamic attribute information of vehicle, which includes running time and traveling-position.
S204, using the static attribute information and the dynamic attribute information as vehicle attribute information, association to the video counts
Correspondence vehicle in, and shown when playing the video data.
S205 receives searching keyword, fuzzy query is executed to the vehicle attribute information according to the searching keyword, to know
Other target vehicle.
S206 intercepts the video clip containing target vehicle according to fuzzy query result from the video data.
S207 splices the video clip sequentially in time, generates the driving trace information of target vehicle.
The present embodiment step S201 to step S204 is referring specifically to first embodiment, herein without repeating one by one, this reality
It applies example and increases the step of generating driving trace information on the basis of first embodiment.
In step S205, the searching keyword of input may include a word, may include multiple words, looks into input
Ask keyword and execute fuzzy query, by searching keyword each word and its synonym, hypernym and related term is in vehicle
It is inquired in attribute information, priority can also be set, for example, setting priority sequence is followed successively by inquiry and closes from high to low
The related term of keyword, the synonym of searching keyword, the hypernym of searching keyword and searching keyword, retrieval result can also
It is ranked up according to this priority sequence, to generate fuzzy query as a result, specifically, one according to the retrieval result after sequence
In a preferred embodiment, " fuzzy query is executed to the vehicle attribute information according to the searching keyword " in step S205
The step of include：
S2051, obtains the synonym, hypernym and related term of the searching keyword, and it is inquiry that priority orders, which are arranged,
Keyword, synonym, hypernym and related term.
S2052 is examined according to the searching keyword, synonym, hypernym and related term in the vehicle attribute information
Rope, to generate retrieval result.
The retrieval result is ranked up by S2053 according to the corresponding priority orders.
In step S205, fuzzy query result may correspond to a target vehicle, it is also possible to corresponding two or more mesh
Mark vehicle, it is also possible to corresponding a type of target vehicle (for example, dump truck).
Specifically, it in step S205, supports to license plate number, vehicle color, vehicle class, running time and traveling-position
Fuzzy query, such as：License plate number is retrieved, input：1234, the vehicle of Guangdong B1234X can be both inquired, Guangdong can also be inquired
The vehicle of C1Y234；Vehicle color is retrieved, input：White can both inquire the vehicle of white, and can also inquire silvery white
Color, milky vehicle.
Further, in a preferred embodiment, further include following steps after step S207：
S208 establishes vehicle attribute database, for storing vehicle attribute information；Keyword expansion database is established, is used
In synonym, hypernym and the related term of storage keyword, and the corresponding association ratio of each word, the association ratio is for making
For the foundation of priority orders is arranged.
In step S207, driving trace information can also be simplified, only obtain the relevant video of road key point
Segment carries out the driving trace for being spliced to form simplified version, and specifically, in a preferred embodiment, step S207 is specifically wrapped
It includes：
S2071 splices the video clip sequentially in time.
S2072, receiving locus reduction instruction obtain the key point of road.
S2073 reads the road key point and corresponds to video clip, to generate driving trace schematic diagram.
Third embodiment of the invention provides a kind of Vehicular intelligent monitoring method, please refers to shown in Fig. 3, the monitoring method packet
It includes：
S301 obtains the geographical location of multiple monitoring cameras and video data in monitoring area.
S302 carries out target identification, to generate the static attribute information of vehicle, the static state to the vehicle in the video data
Attribute information includes at least one of license plate number, vehicle class and/or vehicle color.
S303, geographical location and the static attribute information based on the video data and its corresponding monitoring camera are to vehicle
Carry out positioning analysis, to generate the dynamic attribute information of vehicle, which includes running time and traveling-position.
S304, using the static attribute information and the dynamic attribute information as vehicle attribute information, association to the video counts
Correspondence vehicle in, and shown when playing the video data.
S305, the vehicle attribute information and default abnormal behaviour condition are compared, which includes：Speed is different
Often, route exception, car plate and vehicle color or vehicle class mismatch.
S306, when the vehicle attribute information meets the abnormal behaviour condition, by corresponding vehicle attribute information storage in
Exception record database.
The present embodiment step S301 to step S304 is referring specifically to first embodiment, herein without repeating one by one, this reality
It applies example and increases the step of generating abnormal behaviour identification and record on the basis of first embodiment, to be travelled to overspeed of vehicle,
Early evening peak is restricted driving, and the time occupies bus zone, lorry violation enters the exception such as forbidden road, vehicle fake-license, vehicle refitted vehicles
Behavior is identified.
In step S305, one or more abnormal behaviour conditions are pre-set, by vehicle attribute information and default exception
Behavior condition is compared, to judge whether vehicle attribute information meets default abnormal behaviour condition.In step S306, for
Meet the vehicle attribute information progress file record for presetting abnormal behaviour condition, which can be used for further
Analysis.
Based on same inventive concept, a kind of intelligent monitoring system for vehicle is additionally provided in the embodiment of the present invention, it is such as following
Embodiment.Since the principle that intelligent monitoring system for vehicle solves the problems, such as is similar to Vehicular intelligent monitoring method, Vehicular intelligent
The implementation of monitoring system may refer to the implementation of Vehicular intelligent monitoring method, and overlaps will not be repeated.It is used below, art
Language " unit " either " submodule " or " module " may be implemented predetermined function software and/or hardware combination.Although following
System described in embodiment is preferably realized with software, but the realization of the combination of hardware or software and hardware is also
It may and be contemplated.It an embodiment of the present invention provides a kind of intelligent monitoring system for vehicle, please refers to shown in Fig. 4, the monitoring system
System includes：Data acquisition module 10, target identification module 20, driving trace module 30 and relating module 40, wherein data acquire
Module 10 is for obtaining the geographical location of multiple monitoring cameras and video data in monitoring area；Target identification module 20 is used for
Target identification is carried out to the vehicle in the video data, to generate the static attribute information of vehicle, the static attribute information
Including at least one of license plate number, vehicle class and/or vehicle color；Driving trace module 30 is used to be based on the video counts
According to and its corresponding monitoring camera geographical location and the static attribute information positioning analysis is carried out to vehicle, to generate vehicle
Dynamic attribute information, the dynamic attribute information includes running time and traveling-position；Relating module 40 is used for will be described
Static attribute information and the dynamic attribute information are as vehicle attribute information, association to the correspondence vehicle in the video data
, and shown when playing the video data.
It on the basis of above example, in a preferred embodiment, please refers to shown in Fig. 5, Vehicular intelligent monitoring
System further includes：Track of vehicle module 50, for receiving searching keyword, according to the searching keyword to the vehicle attribute
Information executes fuzzy query, to identify target vehicle；It is intercepted from the video data according to fuzzy query result and contains target
The video clip of vehicle；The video clip is spliced sequentially in time, generates the driving trace information of target vehicle.
Its principle please refers to shown in Fig. 8, it is assumed that target vehicle is white vehicle, and license plate number is Guangdong B X1234, each monitoring camera shooting
Result summarize for：12:10-12:12 sections process A, 12:13-12:15 sections process B, 12:20-12:25 pass through the sections C,
The then static attribute of the target vehicle such as table 1, the dynamic attribute such as table 2 of the target vehicle.
1 vehicle static attribute list of table
| Color | White |
| Model | Car |
| License plate number | Guangdong B X1234 |
2 vehicle dynamic attribute list of table
| Time | Place |
| 12:10-12:12 | The sections A |
| 12:13-12:15 | The sections B |
| 12:20-12:25 | The sections C |
It on the basis of above example, in a preferred embodiment, please refers to shown in Fig. 6, Vehicular intelligent monitoring
System further includes：Activity recognition module 60 and exception record database 70, wherein Activity recognition module 60 is used for the vehicle
Attribute information is compared with default abnormal behaviour condition, and the abnormal behaviour includes：Velocity anomaly, route be abnormal, car plate with
Vehicle color or vehicle class mismatch, when the vehicle attribute information meets the abnormal behaviour condition, by corresponding vehicle
Attribute information is stored in exception record database 70；Exception record database 70 meets the abnormal behaviour condition for storing
Vehicle attribute information.
The embodiment of the present invention additionally provides a kind of server, which includes memory, processor and Vehicular intelligent prison
Program is controlled, Vehicular intelligent monitoring programme is stored on the memory, which runs on the processor,
The processor realizes the Vehicular intelligent monitoring method of any one of above-described embodiment when executing the Vehicular intelligent monitoring programme.
Referring to Fig. 7, showing the application scenarios of the Vehicular intelligent monitoring method of the present invention, monitoring system and server
Figure.
First, multiple monitoring cameras 72 are set in each monitoring area, for acquiring the video data in monitoring area.
Server 73 is connected to the multiple monitoring camera 72, for obtaining multiple monitoring cameras in monitoring area
Geographical location and video data；And target identification is carried out to the vehicle 73 in the video data, to generate the static state of vehicle
Attribute information；Geographical location simultaneously based on the video data and its corresponding monitoring camera and the static attribute information
Positioning analysis is carried out to vehicle, to generate the dynamic attribute information of vehicle；By the static attribute information and the dynamic attribute
Information is as vehicle attribute information, association to the correspondence vehicle in the video data.
Terminal device 74 is connected to the server, and carries out when playing the video data showing corresponding vehicle
Vehicle attribute information, and support the inquiry to target vehicle, the driving trace information of display target vehicle.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (10)
1. a kind of Vehicular intelligent monitoring method, which is characterized in that the monitoring method includes：
Obtain the geographical location of multiple monitoring cameras and video data in monitoring area；
Target identification is carried out to the vehicle in the video data, to generate the static attribute information of vehicle, the static attribute
Information includes at least one of license plate number, vehicle class and/or vehicle color；
Geographical location and the static attribute information based on the video data and its corresponding monitoring camera carry out vehicle
Positioning analysis, to generate the dynamic attribute information of vehicle, the dynamic attribute information includes running time and traveling-position；And
Using the static attribute information and the dynamic attribute information as vehicle attribute information, in association to the video data
Correspondence vehicle, and shown when playing the video data.
2. Vehicular intelligent monitoring method according to claim 1, which is characterized in that the monitoring method further includes：
Searching keyword is received, fuzzy query is executed to the vehicle attribute information according to the searching keyword, to identify mesh
Mark vehicle；
The video clip containing target vehicle is intercepted from the video data according to fuzzy query result；
The video clip is spliced sequentially in time, generates the driving trace information of target vehicle.
3. Vehicular intelligent monitoring method according to claim 2, which is characterized in that " according to the searching keyword to institute
State vehicle attribute information execute fuzzy query " the step of include：
Obtain the synonym, hypernym and related term of the searching keyword, and be arranged priority orders be searching keyword, it is same
Adopted word, hypernym and related term；
It is retrieved in the vehicle attribute information according to the searching keyword, synonym, hypernym and related term, with life
At retrieval result；
The retrieval result is ranked up according to the corresponding priority orders.
4. Vehicular intelligent monitoring method according to claim 3, which is characterized in that the monitoring method further includes：
Vehicle attribute database is established, for storing vehicle attribute information；And
Keyword expansion database is established, synonym, hypernym and related term for storing keyword, and each word correspond to
Association ratio, the association ratio be used for as be arranged priority orders foundation.
5. Vehicular intelligent monitoring method according to claim 2, which is characterized in that " generate the row of target vehicle described
Sail trace information " the step of before further include：
Receiving locus reduction instruction obtains the key point of road；
It reads the road key point and corresponds to video clip, to generate driving trace schematic diagram.
6. Vehicular intelligent monitoring method according to claim 1, which is characterized in that the monitoring method further includes：
The vehicle attribute information and default abnormal behaviour condition are compared, the abnormal behaviour includes：Velocity anomaly, road
Line exception, car plate and vehicle color or vehicle class mismatch；
When the vehicle attribute information meets the abnormal behaviour condition, by corresponding vehicle attribute information storage in abnormal note
Record database.
7. a kind of intelligent monitoring system for vehicle, which is characterized in that the monitoring system includes：
Data acquisition module, for obtaining the geographical location of multiple monitoring cameras and video data in monitoring area；
Target identification module, for carrying out target identification to the vehicle in the video data, to generate the static attribute of vehicle
Information, the static attribute information include at least one of license plate number, vehicle class and/or vehicle color；
Driving trace module is used for the geographical location based on the video data and its corresponding monitoring camera and the static state
Attribute information carries out positioning analysis to vehicle, and to generate the dynamic attribute information of vehicle, the dynamic attribute information includes traveling
Time and traveling-position；And
Relating module, for using the static attribute information and the dynamic attribute information as vehicle attribute information, association to be extremely
Correspondence vehicle in the video data, and shown when playing the video data.
8. intelligent monitoring system for vehicle according to claim 7, which is characterized in that the monitoring system further includes：
Track of vehicle module executes the vehicle attribute information according to the searching keyword for receiving searching keyword
Fuzzy query, to identify target vehicle；Regarding containing target vehicle is intercepted from the video data according to fuzzy query result
Frequency segment；The video clip is spliced sequentially in time, generates the driving trace information of target vehicle.
9. intelligent monitoring system for vehicle according to claim 7, which is characterized in that the monitoring system further includes：
Activity recognition module, for the vehicle attribute information and default abnormal behaviour condition to be compared, the exception row
It is to include：Velocity anomaly, route exception, car plate and vehicle color or vehicle class mismatch, when the vehicle attribute information is full
When the foot abnormal behaviour condition, by corresponding vehicle attribute information storage in exception record database；
Exception record database, for storing the vehicle attribute information for meeting the abnormal behaviour condition.
10. a kind of server, which is characterized in that the server includes memory, processor and is stored on the memory
And the Vehicular intelligent monitoring programme run on the processor, the processor execute real when the Vehicular intelligent monitoring programme
Any one of existing claim 1 to the 6 Vehicular intelligent monitoring method.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109754610A (en) * | 2019-03-01 | 2019-05-14 | 北京数字智通科技有限公司 | vehicle monitoring method and device |
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| CN112115155A (en) * | 2019-06-21 | 2020-12-22 | 三赢科技（深圳）有限公司 | Monitoring method, monitoring device, computer device and readable storage medium |
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| CN113048906A (en) * | 2020-11-26 | 2021-06-29 | 泰州市出彩网络科技有限公司 | Passive content acquisition system based on amplitude analysis |
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| CN114999166A (en) * | 2021-03-02 | 2022-09-02 | 腾讯科技（深圳）有限公司 | Vehicle identification method and device, electronic equipment and computer readable storage medium |
| CN113139554A (en) * | 2021-04-06 | 2021-07-20 | 青岛以萨数据技术有限公司 | Illegal modified vehicle monitoring method, system, equipment and storage medium |
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| CN115083167A (en) * | 2022-08-22 | 2022-09-20 | 深圳市城市公共安全技术研究院有限公司 | Early warning method, system, terminal device and medium for vehicle leakage accident |
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| CN117152666B (en) * | 2023-10-18 | 2024-02-09 | 北京精英智通科技股份有限公司 | Analysis correction recognition method and system for motor vehicle characteristics |
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