CN110765837A - Method and device for identifying vehicle whistling against regulations and terminal equipment - Google Patents
Method and device for identifying vehicle whistling against regulations and terminal equipment Download PDFInfo
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- CN110765837A CN110765837A CN201910815755.XA CN201910815755A CN110765837A CN 110765837 A CN110765837 A CN 110765837A CN 201910815755 A CN201910815755 A CN 201910815755A CN 110765837 A CN110765837 A CN 110765837A
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The application discloses identification method, device and terminal equipment of a vehicle with a violation whistling, wherein the identification method comprises the following steps: constructing a vehicle sample characteristic database; acquiring vehicle characteristics of a vehicle which violates the whistling; and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information. The method and the device can acquire the corresponding violation vehicle information from the vehicle sample characteristic database according to the acquired vehicle characteristics of the violation whistling vehicle in the no-whistling area, so that the violation vehicle can be identified, related drivers can be effectively educated, and violation of regulations of the vehicle is reduced.
Description
Technical Field
The application relates to the technical field of illegal vehicle identification, in particular to a method and a device for identifying a vehicle with a violation whistling effect and terminal equipment.
Background
With the development of economy, the automobile holding capacity is higher and higher, the number of drivers is increased, and the habits of some drivers are poorer, so that bad driving habits are easily developed. For example, drivers can whistle in many areas where whistling is prohibited, but because evidence is not easy to fix, it is difficult to penalize the violation, and the phenomenon of whistling in the areas where whistling is prohibited is often prohibited.
Therefore, how to identify a peccancy vehicle in a no-whistle area is a topical topic that those skilled in the art are studying.
Disclosure of Invention
The application mainly aims to provide a method and a device for identifying a vehicle with a violation whistling effect and terminal equipment.
In order to achieve the above object, the present application provides a method for identifying a vehicle with a violation whistling, the method comprising:
constructing a vehicle sample characteristic database;
acquiring vehicle characteristics of a vehicle which violates the whistling;
and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
Preferably, the building of the vehicle feature database includes:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
Preferably, the building of the vehicle feature database includes:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
Preferably, the building of the vehicle feature database includes:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
Preferably, obtaining vehicle characteristic data for the vehicle in the violation whistle comprises:
detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image of the whistling-prohibited area and the environmental sound;
and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
Preferably, the vehicle characteristics include a vehicle whistle sound characteristic, and the obtaining of the vehicle information of the vehicle with a violation whistle from the vehicle sample characteristic database according to the vehicle characteristics includes:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold; and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
Preferably, the vehicle feature includes a vehicle image feature, and the obtaining of the vehicle information of the violation whistling vehicle from the vehicle sample feature database according to the vehicle feature includes:
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
Preferably, the vehicle characteristics include a vehicle whistle sound characteristic and a vehicle image characteristic, and the obtaining of the vehicle information of the vehicle with the violation whistle from the vehicle sample characteristic database according to the vehicle characteristics includes:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
The application also provides an identification means of the vehicle that horns violations, the identification means of the vehicle that horns violations includes:
the database construction module is used for constructing a vehicle sample characteristic database;
the violation detection module is used for acquiring the vehicle characteristics of the violation whistling vehicle;
and the violation confirmation module is used for acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
Preferably, the database construction module is further configured to:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
Preferably, the database construction module is further configured to:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
Preferably, the database construction module is further configured to:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
Preferably, the violation detection module is further configured to:
detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image and environmental sound of the whistling-prohibited area;
and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
Preferably, the vehicle characteristics include a vehicle whistle sound characteristic, the violation confirmation module being further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold; and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
Preferably, the vehicle feature comprises a vehicle image feature, and the violation confirmation module is further configured to:
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
Preferably, the vehicle features include a vehicle whistle sound feature and a vehicle image feature, and the violation confirmation module is further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
The present application further provides a terminal device, the terminal device includes:
a memory for storing a computer executable identification program for a peccancy whistle vehicle; and
and the processor is used for calling the identification program of the violation whistling vehicle stored in the memory so as to execute the identification method of the violation whistling vehicle.
Compared with the prior art, the method for identifying the vehicle with the peccancy whistle provided by the application comprises the steps of constructing a vehicle sample characteristic database; acquiring vehicle characteristics of a vehicle which violates the whistling; and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
The method and the device can acquire the corresponding violation vehicle information from the vehicle sample characteristic database according to the acquired vehicle characteristics of the violation whistling vehicle in the whistling-prohibited area, so as to identify the violation vehicle.
Drawings
FIG. 1 is a flow chart illustrating the steps of a method for identifying a vehicle having a violation of a whistle as provided herein;
FIG. 2A is a flowchart illustrating the step of step S2 in FIG. 1;
FIG. 2B is a diagram of an application scenario for the method of identifying a vehicle having a violation whistling;
FIG. 3A is a flowchart illustrating the step of S3 according to one embodiment of FIG. 1;
FIG. 3B is a flowchart illustrating the step S3 according to one embodiment of FIG. 1;
FIG. 3C is a flowchart illustrating the step of S3 according to one embodiment of FIG. 1;
fig. 4 is a block diagram of an identification apparatus for a vehicle with a violation whistle according to an embodiment of the present application;
fig. 5 is a block diagram of a terminal device according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
The application provides a method, a device and a terminal device for identifying a vehicle with a violation whistling, wherein the method comprises the steps of constructing a vehicle sample characteristic database; acquiring vehicle characteristics of a vehicle which violates the whistling; and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
The method and the device can acquire the corresponding violation vehicle information from the vehicle sample characteristic database according to the acquired vehicle characteristics of the violation whistling vehicle in the no-whistling area, so that the violation vehicle is identified, the corresponding driver can be effectively educated according to the vehicle information of the violation vehicle, and the violation of the vehicle is reduced.
Referring to fig. 1, the present application provides a method for identifying a vehicle with a violation whistling, which is applied to a terminal device, where the terminal device may be a computer or a server, and the method includes:
step S1: and constructing a vehicle sample characteristic database.
The vehicle sample characteristic database comprises vehicle sample characteristics of a plurality of vehicles, and corresponding vehicles can be identified through the vehicle sample characteristics.
In some embodiments, the building the vehicle feature database includes:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
Illustratively, when the vehicle is registered or annual checked in a vehicle management, a whistle sound of the vehicle to be registered or annual checked is collected through a voice collecting device, such as a sound pick-up, and the obtained whistle sound is output to a terminal device, and the terminal device analyzes and identifies the whistle sound feature from the whistle sound by using a sound feature extraction method, wherein the whistle sound feature can be at least one of a loudness feature, a tone feature, a frequency feature or a tone feature of the whistle sound.
After the extraction of the whistle sound is completed, the terminal equipment associates and stores the obtained whistle sound characteristic as a whistle sound sample characteristic with the vehicle information of the vehicle so as to construct and form a vehicle sample characteristic database, wherein the vehicle information is used for representing the belongings of the vehicle and comprises vehicle owner information and vehicle attribute information, and the vehicle attribute information comprises at least one of the brand, the model, the style and the license plate information of the vehicle.
In some embodiments, the building the vehicle feature database includes:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
Illustratively, when a vehicle is registered or annual checked in a vehicle management system, a vehicle image of the vehicle to be registered or annual checked is acquired through an image acquisition device, such as a camera, the image acquisition device outputs the acquired vehicle image to a terminal device, and the terminal device analyzes and identifies vehicle image features of the vehicle from the acquired vehicle image by using an image feature extraction method, wherein the vehicle image features can be at least one of contour features, color features and license plate features of the vehicle.
After the image feature extraction is completed, the terminal device associates and stores the acquired vehicle image features as vehicle image sample features with vehicle information of the vehicle to construct and form a vehicle sample feature database, wherein the vehicle information is used for representing the affiliation of the vehicle and comprises vehicle owner information and vehicle attribute information, and the vehicle attribute information comprises at least one of the brand, model, style and license plate information of the vehicle.
In some embodiments, the building the vehicle feature database includes:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
Illustratively, when the vehicle is registered or annual checked in the vehicle management, the whistle sound of the vehicle to be registered or annual checked is collected by the voice collecting device, and the vehicle image of the vehicle to be registered or annual checked is collected by the image collecting device.
After the collection of the whistle sound and the vehicle image is finished, outputting the collected whistle sound and the vehicle image to a terminal device, analyzing and identifying the whistle sound characteristic from the whistle sound by the terminal device by using a sound characteristic extraction method, and analyzing and identifying the vehicle image characteristic of the vehicle from the obtained vehicle image by using an image characteristic extraction method, wherein the whistle sound characteristic can be at least one of the loudness characteristic, the tone characteristic, the frequency characteristic or the tone characteristic of the whistle sound; the vehicle image feature may be at least one of a contour feature, a color feature, a license plate feature of the vehicle.
The method comprises the steps of taking the acquired whistle sound characteristics as whistle sound sample characteristics of a vehicle, taking the acquired vehicle image characteristics as vehicle image sample characteristics, and associating and storing the acquired whistle sound sample characteristics and the vehicle image sample characteristics of the corresponding vehicle with vehicle information of the corresponding vehicle to construct and form a vehicle sample characteristic database, wherein the vehicle information is used for representing the belonged of the vehicle and comprises vehicle owner information and vehicle attribute information, and the vehicle attribute information comprises at least one of the brand, model, style and license plate information of the vehicle.
Step S2: vehicle characteristics of a violation whistling vehicle are obtained.
And setting a sound acquisition device 40 and an image acquisition device 50 in the region where the whistle is forbidden, so as to detect whether vehicles with the violated rules whistle exist through the sound acquisition device 40 and the image acquisition device 50, and acquiring the vehicle characteristics of the vehicles with the violated rules whistle if the vehicles with the violated rules whistle exist.
Referring to fig. 2A-2B, in some embodiments, obtaining vehicle characteristics of a vehicle in a violation whistle includes:
step S21: detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
step S22: if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image and environmental sound of the whistling-prohibited area;
step S23: and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
Illustratively, the voice acquisition device 40 and the image acquisition device 50 are arranged in the whistling-prohibited area, wherein the voice acquisition device 40 and the image acquisition device 50 are in communication connection with the terminal equipment to transmit the acquired related data to the terminal equipment, or the voice acquisition device 40 and the image acquisition device 50 are connected with the cloud server to output the acquired related data to the cloud server and output the data to the terminal equipment through the cloud server.
Setting a voice intensity threshold value of voice collected by the voice collecting device 40, and if the voice intensity threshold value is 90dB, detecting whether the voice intensity of the environmental sound in the whistling-prohibited area exceeds the intensity threshold value by the terminal equipment through the voice collecting device 40; if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image of the whistling-prohibited area and the environmental sound through the voice acquisition device 40 by the image acquisition device 50. The terminal device acquires the environmental sound acquired by the voice acquisition device 40 and the area image of the no-whistle area acquired by the image acquisition device 50, identifies the vehicle image from the area image, extracts the whistle sound from the environmental sound, and extracts the vehicle characteristics of the vehicle with the rule violation whistling, wherein the vehicle characteristics comprise the whistle sound characteristics and the vehicle image characteristics of the vehicle, and fig. 2B shows that the whistle sound characteristics and the vehicle image characteristics of the vehicle are extracted by using the vehicle image and the whistle sound.
Step S3: and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
The terminal equipment matches the acquired vehicle characteristics with the vehicle sample characteristics in the vehicle sample characteristic database to identify the vehicle sample characteristics corresponding to the acquired vehicle characteristics in the vehicle sample characteristic database, if the matching is successful, the vehicle sample characteristics matched with the vehicle characteristics are the peccancy vehicle characteristics, and therefore corresponding peccancy vehicle information can be acquired.
Referring to fig. 3A, in some embodiments, the vehicle characteristics include a vehicle whistle sound characteristic, and the obtaining the vehicle information of the violation whistle vehicle from the vehicle sample characteristic database according to the vehicle characteristics includes:
step S31 a: matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
step S32 a: acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold; step S33 a: and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
Illustratively, the vehicle sample characteristic database stores the correlation information of the vehicle whistle sound sample characteristic and the vehicle information of the vehicle.
And the terminal counts Hebei to match the vehicle whistle sound characteristics corresponding to the vehicle obtained in the whistle forbidding area with the vehicle whistle sound sample characteristics in the vehicle sample characteristic database, obtains the vehicle whistle sound sample with the sound matching degree exceeding the sound matching degree threshold value, takes the vehicle corresponding to the vehicle whistle sound sample as the vehicle with the rule regulation whistle, and outputs the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the rule regulation whistle. For example, the threshold sound matching degree is any value between 95% and 99%.
Referring to fig. 3B, in some embodiments, the obtaining vehicle information of the violation whistling vehicle from the vehicle sample feature database according to the vehicle feature includes:
step S31 b: matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
step S32 b: obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
step S33 b: and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
Illustratively, the vehicle image sample characteristic database stores the associated information of the vehicle image sample characteristic and the vehicle information of the vehicle.
The terminal equipment matches the vehicle image characteristics corresponding to the vehicle acquired in the whistle forbidding area with the vehicle image sample characteristics in the vehicle sample characteristic database, acquires the vehicle image sample with the image matching degree exceeding the image matching degree threshold value, takes the vehicle corresponding to the vehicle image sample as the peccancy whistle vehicle, and outputs the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle. For example, the threshold value of the image matching degree is any value between 95% and 99%.
Referring to fig. 3C, in some embodiments, the obtaining the vehicle information of the peccancy whistle vehicle from the vehicle sample feature database according to the vehicle feature includes:
step S31 c: matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
step S31 c: matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
step S31 c: and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
Illustratively, the vehicle image sample characteristics and the vehicle whistle sound sample characteristics are stored in the vehicle sample characteristic database, and the vehicle image sample characteristics and the vehicle whistle sound sample characteristics are associated with vehicle information of the vehicle.
Matching vehicle characteristics corresponding to a vehicle acquired in a whistling area, the vehicle characteristics including vehicle image characteristics and vehicle whistling sound characteristics, with the vehicle whistling sound characteristics in the vehicle sample characteristic database; matching the vehicle image features to the vehicle image sample features in the vehicle sample feature database.
And if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the rule regulation whistle, and identifying the vehicle with the rule regulation whistle according to the vehicle information. For example, the threshold value of the image matching degree is any value between 95% and 99%, and the threshold value of the sound matching degree is any value between 95% and 99%.
Referring to fig. 4, the present application also provides a peccancy vehicle identification apparatus 20, the peccancy vehicle identification apparatus 20 comprising:
a database construction module 201, configured to construct a vehicle sample feature database;
the violation detection module 202 is used for acquiring vehicle characteristics of the violation whistling vehicle; and
and the violation confirmation module 203 is used for acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
In some embodiments, the database construction module 201 is further configured to:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
In some embodiments, the database construction module 201 is further configured to:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
In some embodiments, the database construction module 201 is further configured to:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
In some embodiments, the violation detection module 202 is further configured to:
detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image and environmental sound of the whistling-prohibited area;
and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
In some embodiments, the vehicle characteristic includes a vehicle whistle sound characteristic, and the violation confirmation module 203 is further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold; and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
In some embodiments, the vehicle characteristic includes a vehicle image characteristic, and the violation confirmation module 203 is further configured to:
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
In some embodiments, the vehicle characteristics include a vehicle whistle sound characteristic and a vehicle image characteristic, and the violation confirmation module 203 is further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
Referring to fig. 5, the present application further provides a terminal device 30, where the terminal device 30 includes a memory 301 and a processor 302, where the memory 301 is electrically connected to the processor 302.
The memory 301 includes at least one type of readable storage medium, which includes flash memory, hard disk, multi-media card, card type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory 301 may in some embodiments be an internal storage unit of the terminal device 30, for example a hard disk of the terminal device 30. The memory 301 may also be an external storage device of the terminal device 30 in other embodiments, such as a plug-in hard disk provided on the terminal device 30, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so on. The memory 301 may be used not only to store application software installed in the vehicle-mounted device and various types of data, such as codes of a computer-readable program, etc., but also to temporarily store data that has been output or will be output, that is, the first memory may be used as a storage medium storing a computer-executable identification program of a peccancy vehicle.
The processor 302, which in some embodiments may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data Processing chip, may invoke an identification program stored in the memory 301 for the violation whistling vehicle to perform the steps of:
constructing a vehicle sample characteristic database;
acquiring vehicle characteristics of a vehicle which violates the whistling;
and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
In some embodiments, the processor 302 is further configured to implement the following steps:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
In some embodiments, the processor 302 is further configured to implement the following steps:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
In some embodiments, the processor 302 is further configured to implement the following steps:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
In some embodiments, the processor 302 is further configured to implement the following steps:
detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image and environmental sound of the whistling-prohibited area;
and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
In some embodiments, the vehicle characteristic comprises a vehicle whistle sound characteristic, and the processor 302 is further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold; and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
In some embodiments, the vehicle features include vehicle image features, and the processor 302 is further configured to:
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
In some embodiments, the vehicle features include a vehicle whistle sound feature and a vehicle image feature, and the processor 302 is further configured to:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method of identifying a vehicle in a violation whistle, the method comprising:
constructing a vehicle sample characteristic database;
acquiring vehicle characteristics of a vehicle which violates the whistling;
and acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
2. The identification method of claim 1, wherein said building a vehicle characteristics database comprises:
obtaining vehicle whistling sound sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features with vehicle information of the vehicle to build the vehicle sample feature database.
3. The identification method of claim 1, wherein said building a vehicle characteristics database comprises:
obtaining vehicle image sample characteristics of the vehicle;
and correlating the vehicle image sample characteristics with the vehicle information of the vehicle to construct the vehicle sample characteristic database.
4. The identification method of claim 1, wherein said building a vehicle characteristics database comprises:
acquiring vehicle whistling sound sample characteristics and vehicle image sample characteristics of the vehicle;
correlating the vehicle whistle sound sample features and the vehicle image sample features with vehicle information of the vehicle to construct the vehicle sample feature database.
5. The identification method of claim 1 wherein obtaining vehicle characterization data for a vehicle in a violation whistle comprises:
detecting whether the sound intensity of the environmental sound in the whistling area exceeds an intensity threshold;
if the intensity of the environmental sound exceeds the intensity threshold, acquiring an area image and environmental sound of the whistling-prohibited area;
and extracting the vehicle characteristics of the peccancy whistle vehicle according to the environment sound and the area image.
6. The identification method of claim 2 wherein the vehicle characteristic includes a vehicle whistle sound characteristic, and obtaining vehicle information for the violation whistling vehicle from the vehicle sample characteristic database based on the vehicle characteristic comprises:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
acquiring the vehicle whistling sound sample characteristics of which the sound matching degree exceeds a sound matching degree threshold;
and outputting the vehicle information corresponding to the vehicle whistling sound sample characteristics as the vehicle information of the vehicle with the illegal whistling.
7. The identification method of claim 3 wherein the vehicle characteristics include vehicle image characteristics, and wherein obtaining vehicle information for the violation whistling vehicle from the vehicle sample characteristic database based on the vehicle characteristics comprises:
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
obtaining the vehicle image sample characteristics of which the image matching degree exceeds an image matching degree threshold;
and outputting the vehicle information corresponding to the vehicle image sample characteristics as the vehicle information of the peccancy whistle vehicle.
8. The identification method of claim 4 wherein the vehicle characteristics include vehicle whistle sound characteristics and vehicle image characteristics, and wherein obtaining vehicle information for the vehicle with a violation whistle from the vehicle sample characteristic database based on the vehicle characteristics comprises:
matching the vehicle whistle sound features with the vehicle whistle sound sample features in the vehicle sample feature database;
matching the vehicle image features with the vehicle image sample features in the vehicle sample feature database;
and if the sound matching degree exceeds a sound matching degree threshold value and the image matching degree exceeds an image matching degree threshold value, outputting the vehicle image sample characteristics or the vehicle information corresponding to the vehicle whistle sound sample characteristics as the vehicle information of the vehicle with the violation of whistling.
9. An identification device for a vehicle having a violation for whistling, the identification device comprising:
the database construction module is used for constructing a vehicle sample characteristic database;
the violation detection module is used for acquiring the vehicle characteristics of the violation whistling vehicle;
and the violation confirmation module is used for acquiring the vehicle information of the violation whistling vehicle from the vehicle sample characteristic database according to the vehicle characteristics so as to identify the violation whistling vehicle according to the vehicle information.
10. A terminal device, characterized in that the terminal device comprises:
a memory for storing a computer executable identification program for a peccancy whistle vehicle; and
a processor for invoking an identification program of a violation whistling vehicle stored in the memory to perform the method of identifying a violation whistling vehicle as recited in any one of claims 1-8.
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