CN110263664A - A kind of more occupant lanes are broken rules and regulations recognition methods and device - Google Patents
A kind of more occupant lanes are broken rules and regulations recognition methods and device Download PDFInfo
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- CN110263664A CN110263664A CN201910456112.0A CN201910456112A CN110263664A CN 110263664 A CN110263664 A CN 110263664A CN 201910456112 A CN201910456112 A CN 201910456112A CN 110263664 A CN110263664 A CN 110263664A
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- 238000000034 method Methods 0.000 title claims abstract description 133
- 230000007613 environmental effect Effects 0.000 claims abstract description 98
- 230000008569 process Effects 0.000 claims abstract description 95
- 238000005516 engineering process Methods 0.000 claims abstract description 35
- 238000000605 extraction Methods 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 12
- 230000011218 segmentation Effects 0.000 claims description 10
- 238000003709 image segmentation Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 3
- 230000001815 facial effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 108010001267 Protein Subunits Proteins 0.000 description 4
- 238000007781 pre-processing Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000010191 image analysis Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
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- 238000000926 separation method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
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- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/593—Recognising seat occupancy
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
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Abstract
The application belongs to field of computer technology, provides a kind of more occupant lanes and breaks rules and regulations recognition methods and device, this method comprises: obtaining the external environmental information in vehicle travel process；Whether the road that vehicle driving is judged according to external environmental information is more occupant lanes；Obtain the internal environmental information in vehicle travel process；Occupant's number in vehicle travel process is judged according to internal environmental information；If the road of the vehicle driving is more occupant lanes, judge whether occupant's number meets default occupant and require；If the occupant that occupant's number is unsatisfactory for more occupant lanes requires, vehicle violation is determined.Since external environmental information and internal environmental information in vehicle travel process can be obtained, and when being judged as more occupant lanes according to external environment, judge whether number of passengers meets the requirement in more occupant lanes according to vehicle internal environmental information, violating the regulations situation of the vehicle in more occupant lanes can be accurately and timely identified, to improve the efficiency to vehicle violation judgement.
Description
Technical field
The application belongs to the recognition methods violating the regulations of field of computer technology more particularly to a kind of more occupant lanes and device.
Background technique
The lane HOV (High-Occupancy Vehicle Lane) is also known as ride altogether road or more occupant lanes, is traffic pipe
The lane of the vehicle pass-through only for taking at least a certain regulation ridership is known as high capacity lane in reason, and provides can be used
The vehicle in the lane includes bus, more than two people car or lorry.It is to be gathered around to improve road occupation efficiency, alleviating traffic
Traffic management measure that is stifled, promoting transport energy savings emission reduction and use.
However, mainly being captured at this stage by on-site law-enforcing or to the vehicle travelled in the lane HOV to identify HOV vehicle
The case where situation about breaking rules and regulations in road be easy to cause erroneous judgement, misjudges or can not determine, to judge inefficiency violating the regulations.
Summary of the invention
It breaks rules and regulations recognition methods and device in view of this, the embodiment of the present application provides a kind of more occupant lanes, it is intended to solve existing
There is the problem of inefficiency is broken rules and regulations in the more occupant lanes of identification.
The embodiment of the present application first aspect provides a kind of more occupant lanes recognition methods violating the regulations, comprising:
Obtain the external environmental information in vehicle travel process；
Whether the road that the vehicle driving is judged according to the external environmental information is more occupant lanes；
Obtain the internal environmental information in the vehicle travel process；
Occupant's number in the vehicle travel process is judged according to the internal environmental information；
If the road of the vehicle driving is more occupant lanes, judge whether occupant's number meets more occupants
The default occupant in lane requires；
If the default occupant that occupant's number is unsatisfactory for more occupant lanes requires, the vehicle violation is determined.
In one embodiment, if being required in the default occupant that occupant's number is unsatisfactory for more occupant lanes,
After determining the vehicle violation, further includes:
The vehicle driver is reminded according to the violation information of the vehicle, and the violation information of the vehicle is uploaded to
The violation information of traffic control department manages platform.
In one embodiment, the internal environmental information includes internal environment image；
Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:
The internal environment image is identified according to face recognition technology；
Occupant's number in the vehicle travel process is judged according to the internal environment image after identification.
In one embodiment, the internal environmental information includes internal environment sound；
Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:
The internal environment sound is identified according to speech recognition technology；
Occupant's number in the vehicle travel process is judged according to the internal environment sound after identification.
In one embodiment, pressure sensor is equipped in the vehicle seat, the internal environmental information includes passing through
The pressure sensor obtains the pressure value that the seat is born；
Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:
According to the pressure value that seat in the vehicle is born, occupant's number in the vehicle travel process is judged.
In one embodiment, the external environmental information includes external environment image；
Whether the road that the vehicle driving is judged according to the external environmental information is more occupant lanes, comprising:
The external environment image is identified by image recognition technology；
Whether the road that the vehicle driving is judged according to the external environment image after identification is more occupant lanes.
In one embodiment, described that the external environment image is identified by image recognition technology, including
The external environment image is pre-processed；The pretreatment includes gray processing, Geometrical change and image enhancement；
Image segmentation is carried out to pretreated external environment image；
Feature extraction is carried out to the external environment image after segmentation.
In one embodiment, the external environment image according to after identification judge the vehicle driving road whether
For more occupant lanes, comprising:
Judge whether the feature that the feature extraction obtains matches with pre-stored more occupant lanes feature；
Whether the road that the vehicle driving is judged according to matching result is more occupant lanes.
The embodiment of the present application second aspect provides a kind of more occupant lanes identification device violating the regulations, comprising:
First obtains module, for obtaining the external environmental information in vehicle travel process；
First judgment module, for judging whether the road of the vehicle driving is multiply more according to the external environmental information
Member lane；
Second obtains module, for obtaining the internal environmental information in the vehicle travel process；
Second judgment module, for judging the occupant people in the vehicle travel process according to the internal environmental information
Number；
Third judgment module judges occupant's number if the road for the vehicle driving is more occupant lanes
The default occupant for whether meeting more occupant lanes requires；
First determination module, if the default occupant for occupant's number to be unsatisfactory for more occupant lanes requires,
Determine the vehicle violation.
In one embodiment, described device further include:
Uploading module is reminded, for reminding the vehicle driver according to the violation information of the vehicle, and by the vehicle
Violation information be uploaded to traffic control department violation information management platform.
In one embodiment, the internal environmental information includes internal environment image；
Second judgment module includes:
First recognition unit, for being identified according to face recognition technology to the internal environment image；
First judging unit, for judging the occupant in the vehicle travel process according to the internal environment image after identification
Number.
In one embodiment, the internal environmental information includes internal environment sound；
Second judgment module includes:
Second recognition unit, for being identified according to speech recognition technology to the internal environment sound；
Second judgment unit, for judging the occupant in the vehicle travel process according to the internal environment sound after identification
Number.
In one embodiment, pressure sensor is equipped in the vehicle seat, the internal environmental information includes passing through
The pressure sensor obtains the pressure value that the seat is born；
Second judgment module includes:
Third judging unit, the pressure value for being born according to seat in the vehicle, judges the vehicle travel process
In occupant's number.
In one embodiment, the external environmental information includes external environment image；
The first judgment module includes:
Third recognition unit, for being identified by image recognition technology to the external environment image；
4th judging unit, for judged according to the external environment image after identification the vehicle driving road whether be
More occupant lanes.
In one embodiment, the third recognition unit includes:
Subelement is pre-processed, for pre-processing to the external environment image；The pretreatment includes gray processing, several
What variation and image enhancement；
Divide subelement, for carrying out image segmentation to pretreated external environment image；
Feature extraction subelement, for carrying out feature extraction to the external environment image after segmentation.
In one embodiment, the 4th judging unit includes:
First judgment sub-unit, for judging the feature that the feature extraction obtains and the more occupant lanes feature being pre-stored
Whether match；
Second judgment sub-unit, for judging whether the road of the vehicle driving is more occupant's vehicles according to matching result
Road.
The third aspect of the embodiment of the present application provides a kind of terminal device, including memory, processor and is stored in institute
The computer program that can be run in memory and on the processor is stated, the processor executes real when the computer program
The step of existing above method.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium, and computer readable storage medium is deposited
The step of containing computer program, the above method realized when above-mentioned computer program is executed by processor.
In the embodiment of the present application, the external environmental information in vehicle travel process is obtained；Believed according to the external environment
Breath judges whether the road of the vehicle driving is more occupant lanes；Obtain the internal environment letter in the vehicle travel process
Breath；Occupant's number in the vehicle travel process is judged according to the internal environmental information；If the road of the vehicle driving
For more occupant lanes, then judge whether occupant's number meets the default occupant requirement in more occupant lanes；If described multiply
The default occupant that member's number is unsatisfactory for more occupant lanes requires, then determines the vehicle violation.Since vehicle row can be obtained
External environmental information and internal environmental information during sailing, and when being judged as more occupant lanes according to external environment, according to
Internal environmental information in vehicle travel process judges whether number of passengers meets the requirement in more occupant lanes, can be accurately and timely
Violating the regulations situation of the vehicle in more occupant lanes is identified, to improve the efficiency to vehicle violation judgement.
Detailed description of the invention
It in order to more clearly explain the technical solutions in the embodiments of the present application, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described.
Fig. 1 is that the embodiment of the present application one provides a kind of flow diagram of more occupant lanes recognition methods violating the regulations；
Fig. 2 is a kind of flow diagram for more occupant lanes recognition methods violating the regulations that the embodiment of the present application two provides；
Fig. 3 is a kind of flow diagram for more occupant lanes recognition methods violating the regulations that the embodiment of the present application three provides；
Fig. 4 is a kind of structural schematic diagram for more occupant lanes identification device violating the regulations that the embodiment of the present application four provides；
Fig. 5 is a kind of structural schematic diagram for terminal device that the embodiment of the present application five provides.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, so as to provide a thorough understanding of the present application embodiment.In other situations, omit to well-known system, device, circuit with
And the detailed description of method, so as not to obscure the description of the present application with unnecessary details.
In order to illustrate technical solution described herein, the following is a description of specific embodiments.
Embodiment one
The embodiment of the present application provides a kind of more occupant lanes recognition methods violating the regulations, can pass through server, car-mounted terminal, intelligence
The terminal devices such as mobile phone, tablet computer or desktop computer execute.The recognition methods packet as shown in Figure 1, shown more occupant lanes are broken rules and regulations
It includes:
Step S101 obtains the external environmental information in vehicle travel process.
In the embodiment of the present application, during vehicle driving, the external acquisition equipment by vehicle is obtained (as imaged
Head, sensor etc.) acquisition vehicle travel process in external environmental information.Or it can be obtained during vehicle driving
The position of vehicle, according to the position of vehicle, (associated server as stored map) obtains vehicle driving mistake from associated server
External environmental information in journey.
In one embodiment, the external environmental information obtained in vehicle travel process, comprising: acquisition passes through vehicle
External environment image in the vehicle travel process of external camera shooting.Said external acquisition equipment can be outside vehicle
Camera, the main control device and the application embodiment of the method for external camera is arranged in the outside vehicle in advance in portion's camera
In execution terminal be communicatively coupled, pass through external camera shoot vehicle travel process in external environmental information, obtain
The external environment image in the vehicle travel process shot by external camera.
Step S102 judges whether the road of the vehicle driving is more occupant lanes according to the external environmental information.
In the embodiment of the present application, if said external environmental information is acquired by the external acquisition equipment of vehicle,
Then matched according to the external environmental information got with the environmental information that more occupant lanes are stored in advance.If what is got is outer
Portion's environmental information matches with the environmental information that more occupant lanes are stored in advance, then judges the road of the vehicle driving to multiply more
Member lane；If the external environmental information got is mismatched with the environmental information that more occupant lanes are stored in advance, described in judgement
The road of vehicle driving is not more occupant lanes, wherein it is above-mentioned match can be that match degree is greater than the preset threshold, mismatch can
To be that matching degree is less than preset threshold.If said external environmental information is by the position in vehicle travel process, according to position
External environmental information from the vehicle travel process acquired in associated server, then can be directly according to external environmental information
Feature judge whether to belong to more occupant lanes, the map of current driving vehicle is such as got from server, can be according to the map
The road information of middle vehicle driving judges whether to belong to more occupant lanes.
In one embodiment, above-mentioned more occupant lanes may include a plurality of types of more occupant lanes (such as 2 occupant lanes, 3
Occupant lane and 4 occupant lanes etc.), judge whether the road of vehicle driving is more occupant lanes according to the external environmental information
It include: first to judge whether the road of vehicle driving is more occupant lanes according to external environmental information, and judge more occupant lanes
Type.
Step S103 obtains the internal environmental information in the vehicle travel process.
In the embodiment of the present application, during vehicle driving, it can obtain and equipment acquisition is acquired by the inside of vehicle
To vehicle travel process in internal environmental information.The internal environment letter that equipment acquires vehicle is acquired by the inside of vehicle
Breath, may make collected internal environmental information to become apparent from really, to analyze vehicle interior state according to internal environmental information
It is more acurrate.
In one embodiment, the internal environmental information obtained in the vehicle travel process, comprising: acquisition passes through
Internal environment image in the vehicle travel process of vehicle interior camera shooting.Above-mentioned internal acquisition equipment can image
Camera is arranged in the inside of vehicle in advance in head, and executes in method implementation in the main control device of camera in car and the application
Terminal is communicatively coupled, and obtains the internal environment image in the vehicle travel process shot by camera in car.
In one embodiment, the internal environmental information obtained in the vehicle travel process, comprising: acquisition passes through
Internal environment sound in the vehicle travel process of vehicle interior voice capture device acquisition.The inside of vehicle acquires equipment
It can be the voice capture device of vehicle interior setting, and in the main control device of voice capture device and the application in method implementation
It executes terminal to be communicatively coupled, obtains the internal environment sound in the vehicle travel process acquired by voice capture device
Sound.
In one embodiment, the internal environmental information obtained in the vehicle travel process, comprising: acquisition passes through
The pressure value for each seat in the vehicle travel process that pressure sensor acquires in vehicle interior seat.The inside of vehicle
Acquisition equipment can be the pressure sensor being arranged in each seat of vehicle interior, and the main control device of each pressure sensor with
Terminal is executed in the application in embodiment of the method to be communicatively coupled, obtains the vehicle acquired by each pressure sensor
The pressure value of each seat of vehicle interior in driving process.
Step S104 judges occupant's number in the vehicle travel process according to the internal environmental information.
In the embodiment of the present application, it can be analyzed and processed according to internal environmental information, to judge vehicle travel process
In occupant's number.In a particular application, the internal environment of vehicle includes but is not limited to internal environment picture, internal environment sound
One of pressure value born with vehicle interior seat or much information, judge the vehicle according to the internal environmental information
Occupant's number in driving process, comprising: the pressure born according to internal environment picture, internal environment sound and vehicle interior seat
One of force value or much information judge occupant's number in the vehicle travel process.
In one embodiment, when internal environmental information includes internal environment picture, image can be analyzed, is judged
Occupant's number in vehicle travel process out such as can identify vehicle travel process according to the face recognition technology in image analysis
In occupant's number.
In one embodiment, the internal environmental information includes internal environment sound；According to the internal environmental information
Judge occupant's number in the vehicle travel process, comprising: carry out to the internal environment sound according to speech recognition technology
Identification；Occupant's number in the vehicle travel process is judged according to the internal environment sound after identification.Specifically, vehicle can be obtained
When internal sound, identified according to vehicle interior sound of the speech recognition technology to acquisition to judge the occupant people in vehicle
Number, such as first carries out voice pretreatment to the internal sound of acquisition, judges to pre-process by acoustic model to pretreated sound
Whether sound afterwards is sound when the mankind normally speak, and when sound when being judged as that the mankind normally speak, according to sound
In include characteristic information (such as vocal print feature) judge occupant's number in vehicle.Above-mentioned acoustic model can be previously according to big
Word when amount people speaks, the model that the information such as syllable and phoneme are established after being trained.
In one embodiment, pressure sensor is equipped in the vehicle seat, the internal environmental information includes passing through
The pressure sensor obtains the pressure value that the seat is born；The vehicle driving mistake is judged according to the internal environmental information
Occupant's number in journey, comprising: according to the pressure value that seat in the vehicle is born, judge multiplying in the vehicle travel process
Member's number.Specifically, the pressure value that seat is born in each seat in vehicle can be obtained, according to the pressure born in each seat
Whether force value, which is greater than preset pressure value, judges whether be loaded with passenger on each seat respectively, so as to judge occupant's number.
Step S105 judges whether occupant's number meets if the road of the vehicle driving is more occupant lanes
The default occupant in more occupant lanes requires.
In the embodiment of the present application, if the road for judging vehicle driving is more occupant lanes, judge in current vehicle
Occupant's number whether meet the default member requests in more occupant lanes.In a particular application, more occupant lanes may include a variety of
More occupant lanes (such as 2 occupant lanes, 3 occupant lanes and 4 occupant lanes) of type, each type of more occupant lanes it is pre-
If member requests are different, as the default occupant in 1 occupant lane requires to be greater than for passenger's number in vehicle travel process
Or it requires to be greater than or be equal to 2,3 for passenger's number in vehicle travel process equal to the default occupant in 1,2 occupant lanes
The default member requests in occupant lane are that passenger's number in vehicle travel process is greater than or is equal to 3.
Step S106, if the default occupant that occupant's number is unsatisfactory for more occupant lanes requires, described in judgement
Vehicle violation.
In the embodiment of the present application, when the road for judging vehicle driving is more occupant lanes, and interior occupant's number
The default occupant for being unsatisfactory for more occupant lanes requires, then determines that vehicle violation travels.Specifically, it can determine whether out the road of vehicle driving
Lu Weiduo occupant lane, and judge the type in more occupant lanes, then analyze interior occupant's number whether to meet the type more
The preset requirement in occupant lane.
In one embodiment, if being required in the default occupant that occupant's number is unsatisfactory for more occupant lanes,
After determining the vehicle violation, further includes: remind the vehicle driver according to the violation information of the vehicle, and will be described
The violation information of vehicle is uploaded to the violation information management platform of traffic control department.If it is determined that occur to break rules and regulations in vehicle travel process,
Then according to the driver of information reminding vehicle violating the regulations, can specifically carry out voice by interior mobile unit or image show into
Row remind, or can also will be prompted to information be sent to the associated mobile terminal of driver, to remind the driver of vehicle.And
The violation information of vehicle is uploaded to the violation information management platform of traffic control department to make to put on record.
In a particular application, when passenger is 1, judge that vehicle is on more occupant lanes that (>=2 people are more, and occupant is dedicated
Lane or the more occupant's dedicated Lanes of >=3 people), then remind car owner to sail out of the lane, while reporting the violation information pipe of traffic control department
Platform is to make to put on record；When passenger is 1 or 2, if judging at this time, vehicle is in more occupant's carriageway types and multiplies more for >=3 people
On member's dedicated Lanes, then car owner is reminded to sail out of the lane, while the violation information of traffic control department being reported to manage platform to make to put on record；
When passenger is greater than or equal to 3, do not remind.
It can be seen that in the embodiment of the present application, since external environmental information in vehicle travel process and interior can be obtained
Portion's environmental information, and when being judged as more occupant lanes according to external environment, believed according to the internal environment in vehicle travel process
Breath judges whether number of passengers meets the requirement in more occupant lanes, can accurately and timely identify vehicle disobeying in more occupant lanes
Chapter situation, to improve the efficiency to vehicle violation judgement.
Embodiment two
The present embodiment is the further explanation to embodiment one, and the present embodiment is the same as example 1 or similar place tool
Body can be found in the associated description of embodiment one, and details are not described herein again, and said external environmental information includes outside in the present embodiment
Ambient image, as shown in Fig. 2, above-mentioned steps S102 includes:
Step S201 identifies the external environment image by image recognition technology.
In the embodiment of the present application, when said external environmental information is the external environment figure got in vehicle travel process
Picture can identify external ambient image by image recognition technology.Wherein, image recognition technology is handled image
Analysis and understanding, to identify the target of various different modes and the technology of object.
In one embodiment, described that the external environment image is identified by image recognition technology, comprising: right
The external environment image is pre-processed；The pretreatment includes gray processing, Geometrical change and image enhancement；After pretreatment
External environment image carry out image segmentation；Feature extraction is carried out to the external environment image after segmentation.Know above by image
Other technology identifies external ambient image and can first pre-process to image, then is split to pretreated image,
Then to the image after being split, feature extraction is finally carried out.
Carrying out pretreatment main purpose to the external environment image is to eliminate information unrelated in image, retains and restores
Useful real information enhances detectability for information about, simplifies data to the maximum extent, to improve feature extraction, figure
As the reliability of segmentation, matching and identification.Pretreatment process can are as follows: and gray processing processing is first carried out, then carries out geometric transformation processing,
Finally carry out image enhancement processing.Above-mentioned image segmentation can divide the image into several areas specific, with unique properties
Domain and the technology and process for proposing interesting target, above-mentioned image segmentation can be based on boundary segmentation or based on region segmentation.
Carrying out feature extraction to the external environment image after segmentation can be the image information after extracting segmentation, and the point on image is divided into
The different subsets with certain feature, these subsets tend to belong to isolated point, continuous curve or continuous region.
Step S202 judges whether the road of the vehicle driving is more occupant's vehicles according to the external environment image after identification
Road.
In the embodiment of the present application, according to the external environment image after identification judge the vehicle driving road whether be
More occupant lanes may is that according to the feature that the external environment image recognition is gone out and the feature in more occupant lanes that prestores into
Row characteristic matching judges whether the road of the vehicle driving is more occupant lanes.
Characteristic matching can be by extracting two or more features (features such as point, line, surface) respectively, carry out to feature
Parameter description, is then matched with described parameter.The feature of image handled by feature-based matching includes
But be not limited to color characteristic, textural characteristics, shape feature, spatial position feature etc..
In one embodiment, the external environment image according to after identification judge the vehicle driving road whether
For more occupant lanes, comprising: judge whether the feature that the feature extraction obtains matches with pre-stored more occupant lanes feature；
Whether the road that the vehicle driving is judged according to matching result is more occupant lanes.
It can be seen that in the embodiment of the present application, the external environment image is identified by image recognition technology,
Whether the road that the vehicle driving is judged according to the external environment image after identification is more occupant lanes, can accurately be known in real time
Not Chu the road in vehicle travel process whether be more occupant lanes, so as to accurately and timely identify vehicle in more occupant lanes
In situation violating the regulations, improve to vehicle violation judgement efficiency.
Embodiment three
The present embodiment is the further explanation to embodiment one, and the present embodiment is the same as example 1 or similar place tool
Body can be found in the associated description of embodiment one, and details are not described herein again, and above-mentioned internal environmental information includes inside in the present embodiment
Ambient image, as shown in figure 3, above-mentioned steps S104 includes:
Step S301 identifies the internal environment image according to face recognition technology.
In the embodiment of the present application, when above-mentioned internal environmental information is the internal environment figure got in vehicle travel process
When picture, the internal environment image can be identified according to face recognition technology.Wherein, face recognition technology is based on people
A kind of biological identification technology of facial feature information progress identification.Image containing face or video flowing are detected automatically and
Track human faces, and then face recognition is carried out to the face detected.
Face recognition technology can first detect the face in image: Face datection is mainly used for face knowledge in practice
Other pretreatment, i.e., accurate calibration goes out position and the size of face in the picture.The pattern feature for including in facial image is very
It is abundant, such as histogram feature, color characteristic, template characteristic, structure feature and Haar feature；Again to the facial image detected
Pre-processed: the image preprocessing for face is based on Face datection as a result, handle and finally serve to image
The process of feature extraction.The original image usually obtained is tended not to straight due to the limitation and random disturbances by various conditions
Connect use, it is necessary to the image preprocessings such as gray correction, noise filtering be carried out to it in the early stage of image procossing；Then to pre-
Treated, and facial image carries out feature extraction: feature workable for recognition of face includes but is not limited to visual signature, pixel system
Count feature, facial image transformation coefficient feature, facial image algebraic characteristic etc..Face characteristic is extracted aiming at the certain of face
What feature carried out.Face characteristic extracts, and also referred to as face characterizes, it is the process that feature modeling is carried out to face；Finally to progress
The characteristic matching and identification of extraction: the feature templates stored in the characteristic of the facial image of extraction and Ministry of Public Security's database into
Row search matching, such as can by set a threshold value, when similarity be more than this threshold value (75%-100%), then matching is obtained
Result output.Recognition of face is exactly to be compared face characteristic to be identified with obtained skin detection, according to
Similarity degree judges the identity information of face.
In one embodiment, occupant's face characteristic can be shifted to an earlier date by face recognition technology, with public security system data
Library compares, and judges the identity of occupant, while judgement obtains passenger's number.
Step S302 judges occupant's number in the vehicle travel process according to the internal environment image after identification.
In the embodiment of the present application, the occupant in the vehicle travel process is judged according to the internal environment image after identification
Number may is that the face quantity in the internal environment image after progress recognition of face, judge in the vehicle travel process
Occupant's number.
In one embodiment, can be according to Feature Extraction Technology to the target object in the internal environment image into
Row identification, and judge the feature of target object and pre-stored target object (target object can be people) feature whether phase
Matching judges occupant's number in vehicle travel process according to the match quantity of acquisition of target object.
It can be seen that in the embodiment of the present application, the internal environment image is identified according to face recognition technology,
Occupant's number in the vehicle travel process is judged according to the internal environment image after identification, can accurately identify vehicle in real time
Occupant's number improves in driving process so as to accurately and timely identify situation violating the regulations of the vehicle in more occupant lanes
To the efficiency of vehicle violation judgement.
Example IV
The embodiment of the present invention provides a kind of more occupant lanes identification device violating the regulations, can be integrated in server, car-mounted terminal, intelligence
The terminal devices such as energy mobile phone, tablet computer or desktop computer, for executing in embodiment one, embodiment two and/or embodiment three
Method and step be only illustrated in the relevant part of the present invention for ease of description, as shown in figure 4, the identification violating the regulations of more occupant lanes
Device 400 includes:
First obtains module 401, for obtaining the external environmental information in vehicle travel process；
In one embodiment, the first acquisition module is specifically used for:
Obtain the external environment image in the vehicle travel process shot by outside vehicle camera.
First judgment module 402, for judged according to the external environmental information vehicle driving road whether be
More occupant lanes；
In one embodiment, the external environmental information includes external environment image；The first judgment module includes:
Third recognition unit, for being identified by image recognition technology to the external environment image；
4th judging unit, for judged according to the external environment image after identification the vehicle driving road whether be
More occupant lanes.
In one embodiment, the third recognition unit includes:
Subelement is pre-processed, for pre-processing to the external environment image；The pretreatment includes gray processing, several
What variation and image enhancement；
Divide subelement, for carrying out image segmentation to pretreated external environment image；
Feature extraction subelement, for carrying out feature extraction to the external environment image after segmentation.
In one embodiment, the 4th judging unit includes:
First judgment sub-unit, for judging the feature that the feature extraction obtains and the more occupant lanes feature being pre-stored
Whether match；
Second judgment sub-unit, for judging whether the road of the vehicle driving is more occupant's vehicles according to matching result
Road.
Second obtains module 403, for obtaining the internal environmental information in the vehicle travel process；
In one embodiment, the second acquisition module is specifically used for:
Obtain the internal environment image in the vehicle travel process shot by vehicle interior camera.
Second judgment module 404, for judging the occupant in the vehicle travel process according to the internal environmental information
Number；
In one embodiment, the internal environmental information includes internal environment image；Second judgment module includes:
First recognition unit, for being identified according to face recognition technology to the internal environment image；
First judging unit, for judging the occupant in the vehicle travel process according to the internal environment image after identification
Number.
In one embodiment, the internal environmental information includes internal environment sound；
Second judgment module includes:
Second recognition unit, for being identified according to speech recognition technology to the internal environment sound；
Second judgment unit, for judging the occupant in the vehicle travel process according to the internal environment sound after identification
Number.
In one embodiment, pressure sensor is equipped in the vehicle seat, the internal environmental information includes passing through
The pressure sensor obtains the pressure value that the seat is born；
Second judgment module includes:
Third judging unit, the pressure value for being born according to seat in the vehicle, judges the vehicle travel process
In occupant's number.
Third judgment module 405 judges the occupant people if the road for the vehicle driving is more occupant lanes
The default occupant whether number meets more occupant lanes requires；
First determination module 406, if the default occupant for occupant's number to be unsatisfactory for more occupant lanes requires,
Then determine the vehicle violation.
In one embodiment, more occupant lanes identification device 400 violating the regulations further include:
Uploading module is reminded, for reminding the vehicle driver according to the violation information of the vehicle, and by the vehicle
Violation information be uploaded to traffic control department violation information management platform.
It can be seen that in application embodiment, since external environmental information and inside in vehicle travel process can be obtained
Environmental information, and when being judged as more occupant lanes according to external environment, according to the internal environmental information in vehicle travel process
Judge whether number of passengers meets the requirement in more occupant lanes, can accurately and timely identify that vehicle is violating the regulations in more occupant lanes
Situation, to improve the efficiency to vehicle violation judgement.
Embodiment five
The present embodiment provides a kind of schematic diagrames of terminal device, as shown in figure 5, the terminal device 5 in the present embodiment includes:
Processor 51, memory 52 and it is stored in the computer program that can be run in above-mentioned memory 52 and on above-mentioned processor 51
53.Above-mentioned processor 51 is realized when executing above-mentioned computer program 53 in the recognition methods embodiment violating the regulations of above-mentioned more occupant lanes
Method and step in step, such as embodiment one, the method and step in embodiment two and/or the method and step in embodiment three.
Illustratively, above-mentioned computer program 53 can be divided into one or more units/modules, said one or
Multiple units/modules are stored in above-mentioned memory 52, and are executed by above-mentioned processor 51, to complete the present invention.Above-mentioned one
A or multiple units/modules can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the above-mentioned computer program 53 in above-mentioned terminal device 5 is described.For example, above-mentioned computer program 53 can be divided
The first acquisition module, first judgment module, the second acquisition module, the second judgment module, third judgment module and first is cut into sentence
The modules such as cover half block, each module concrete function have been described in above-described embodiment three, and details are not described herein again.
Above-mentioned terminal device 5 can be integrated in car-mounted terminal, smart phone, tablet computer, desktop computer or server
Equal terminal devices.Above-mentioned terminal device 5 may include, but be not limited only to, processor 51, memory 52.Those skilled in the art can
To understand, Fig. 5 is only the example of terminal device 5, does not constitute the restriction to terminal device 5, may include more than illustrating
Or less component, certain components or different components are perhaps combined, such as above-mentioned terminal device 5 can also include input
Output equipment, network access equipment, bus etc..
Alleged processor 51 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
Above-mentioned memory 52 can be the internal storage unit of terminal device 5, such as the hard disk or memory of terminal device 5.
Above-mentioned memory 52 is also possible to the External memory equipment of above-mentioned terminal device 5, such as the grafting being equipped on above-mentioned terminal device 5
Formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Further, above-mentioned memory 52 can also both including above-mentioned terminal device 5 internal storage unit or
Including External memory equipment.Above-mentioned memory 52 is for storing needed for above-mentioned computer program and above-mentioned terminal device 5 it
Its program and data.Above-mentioned memory 52 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience and simplicity of description, foregoing description it is specific
The course of work can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed method, apparatus, terminal device, it can
To realize by another way.The unit as illustrated by the separation member may or may not be physically separate
, component shown as a unit may or may not be physical unit.It can select according to the actual needs wherein
Some or all of unit achieve the purpose of the solution of this embodiment.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above is merely preferred embodiments of the present invention, be not intended to limit the invention, it is all in spirit of the invention and
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within principle.
Claims (10)
- The recognition methods 1. a kind of more occupant lanes are broken rules and regulations characterized by comprisingObtain the external environmental information in vehicle travel process；Whether the road that the vehicle driving is judged according to the external environmental information is more occupant lanes；Obtain the internal environmental information in the vehicle travel process；Occupant's number in the vehicle travel process is judged according to the internal environmental information；If the road of the vehicle driving is more occupant lanes, judge whether occupant's number meets more occupant lanes Default occupant require；If the default occupant that occupant's number is unsatisfactory for more occupant lanes requires, the vehicle violation is determined.
- The recognition methods 2. more occupant lanes according to claim 1 are broken rules and regulations, which is characterized in that if occupant's number not The default occupant for meeting more occupant lanes requires, then after determining the vehicle violation, further includes:The vehicle driver is reminded according to the violation information of the vehicle, and the violation information of the vehicle is uploaded to traffic control The violation information of department manages platform.
- The recognition methods 3. more occupant lanes according to claim 1 are broken rules and regulations, which is characterized in that the internal environmental information packet Include internal environment image；Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:The internal environment image is identified according to face recognition technology；Occupant's number in the vehicle travel process is judged according to the internal environment image after identification.
- The recognition methods 4. more occupant lanes according to claim 1 are broken rules and regulations, which is characterized in that the internal environmental information packet Include internal environment sound；Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:The internal environment sound is identified according to speech recognition technology；Occupant's number in the vehicle travel process is judged according to the internal environment sound after identification.
- The recognition methods 5. more occupant lanes according to claim 1 are broken rules and regulations, which is characterized in that be equipped in the vehicle seat Pressure sensor, the internal environmental information include the pressure value for obtaining the seat by the pressure sensor and bearing；Occupant's number in the vehicle travel process is judged according to the internal environmental information, comprising:According to the pressure value that seat in the vehicle is born, occupant's number in the vehicle travel process is judged.
- The recognition methods 6. more occupant lanes according to claim 1 are broken rules and regulations, which is characterized in that the external environmental information packet Include external environment image；Whether the road that the vehicle driving is judged according to the external environmental information is more occupant lanes, comprising:The external environment image is identified by image recognition technology；Whether the road that the vehicle driving is judged according to the external environment image after identification is more occupant lanes.
- The recognition methods 7. more occupant lanes according to claim 6 are broken rules and regulations, which is characterized in that described to pass through image recognition skill Art identifies the external environment image, comprising:The external environment image is pre-processed；The pretreatment includes gray processing, Geometrical change and image enhancement；Image segmentation is carried out to pretreated external environment image；Feature extraction is carried out to the external environment image after segmentation.
- The recognition methods 8. more occupant lanes according to claim 7 are broken rules and regulations, which is characterized in that described according to outer after identification Portion's ambient image judges whether the road of the vehicle driving is more occupant lanes, comprising:Judge whether the feature that the feature extraction obtains matches with pre-stored more occupant lanes feature；Whether the road that the vehicle driving is judged according to matching result is more occupant lanes.
- The identification device 9. a kind of more occupant lanes are broken rules and regulations characterized by comprisingFirst obtains module, for obtaining the external environmental information in vehicle travel process；First judgment module, for judging whether the road of the vehicle driving is more occupant's vehicles according to the external environmental information Road；Second obtains module, for obtaining the internal environmental information in the vehicle travel process；Second judgment module, for judging occupant's number in the vehicle travel process according to the internal environmental information；Whether third judgment module judges occupant's number if the road for the vehicle driving is more occupant lanes The default occupant for meeting more occupant lanes requires；First determination module determines if the default occupant for occupant's number to be unsatisfactory for more occupant lanes requires The vehicle violation.
- 10. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 8 when executing the computer program The step of any one the method.
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