CN107341438A - The method and apparatus of in-car safety monitoring based on computer vision - Google Patents
The method and apparatus of in-car safety monitoring based on computer vision Download PDFInfo
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- CN107341438A CN107341438A CN201710063012.2A CN201710063012A CN107341438A CN 107341438 A CN107341438 A CN 107341438A CN 201710063012 A CN201710063012 A CN 201710063012A CN 107341438 A CN107341438 A CN 107341438A
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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
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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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
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
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- 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
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- 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
- G06V40/172—Classification, e.g. identification
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- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
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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
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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Abstract
The invention provides a kind of method of the in-car safety monitoring based on computer vision, wherein, this method comprises the following steps：In-car picture is obtained by camera；The in-car picture got is analyzed；Wherein analysis includes driver's driving privilege analysis, driver's driving behavior analysis, passenger's passenger choice behavior analysis；Judged by analysis in-car whether safe.According to the solution of the present invention, in-car picture is obtained by camera；The situation of the passenger inside the vehicle and driver to getting are analyzed, and are carried out for driver's safety detection in itself and for the directly potential limbs of driver and passenger and the safety monitoring of speech conflict, more comprehensively.
Description
Technical field
The present invention relates to computer equipment field, more particularly to a kind of side of the in-car safety monitoring based on computer vision
Method and device.
Background technology
With the rapidly development for sharing trip traffic in recent years, the trip mode of compatriots has occurred that deep change.
One urgent problem to be solved of the thing followed is in-car safety when how to ensure to go together with stranger.In the prior art, lead to
Frequently with following two approach：Scheme one, terminal device gps signal is mainly taken, judge vehicle whether for a long time in abnormal
State (such as being parked in for a long time somewhere), the measure of alarm logging is taken for the vehicle of exception.Scheme two, by driver
ONLINE RECOGNITION is carried out, judges whether driver is me, is realized to human pilot in line justification.
The content of the invention
It is an object of the invention to provide a kind of method and apparatus of the in-car safety monitoring based on computer vision.
According to an aspect of the present invention, there is provided a kind of method of the in-car safety monitoring based on computer vision, wherein,
This method comprises the following steps：
In-car picture is obtained by camera；
The in-car picture got is analyzed；Wherein analysis includes driver's driving privilege analysis, driver
Driving behavior analysis, passenger's passenger choice behavior analysis；
Judged by analysis in-car whether safe.
According to another aspect of the present invention, a kind of dress of the in-car safety monitoring based on computer vision is additionally provided
Put, wherein, the device includes following device：
Acquisition module, for obtaining in-car picture by camera；
Analysis module, for analyzing the in-car picture got；Wherein analysis includes driver's driving power
Limit analysis, driver's driving behavior analysis, passenger's passenger choice behavior analysis；
Judge module, it is in-car whether safe for being judged by analysis.
Compared with prior art, the present invention has advantages below：The following two approach of generally use in the prior art：Scheme
One, mainly take terminal device gps signal, judge vehicle whether for a long time in abnormality (such as be parked in for a long time some ground
Side), take the measure of alarm logging for the vehicle of exception.Scheme two, by carrying out ONLINE RECOGNITION to driver, judge that driver is
No is me, is realized to human pilot in line justification.Scheme one lacks the analysis to in-car actual conditions, it is impossible to which processing is just
Often the department that occurs multiplies dispute during traveling or short stay, and because lacking in-vehicle information, dispute can not be judged with
Processing.Scheme two only realizes the authentication to driver, lacks the analysis to copilot passenger, and can not handle the two
The scene clashed.And in the solution of the present invention, in-car picture is obtained by camera；To the passenger inside the vehicle got
Analyzed, carried out for driver's safety detection in itself and directly potential for driver and passenger with the situation of driver
Limbs and the safety monitoring of speech conflict, more comprehensively.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is the flow signal of the method for the in-car safety monitoring based on computer vision of one embodiment of the invention
Figure；
Fig. 2 is the structural representation of the device of the in-car safety monitoring based on computer vision of one embodiment of the invention
Figure.
Same or analogous reference represents same or analogous part in accompanying drawing.
Embodiment
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing described as flow chart or method.Although operations are described as the processing of order by flow chart, therein to be permitted
Multioperation can be implemented concurrently, concomitantly or simultaneously.In addition, the order of operations can be rearranged.When it
The processing can be terminated when operation is completed, it is also possible to the additional step being not included in accompanying drawing.The processing
It can correspond to method, function, code, subroutine, subprogram etc..
Method (some of them are illustrated by flow) discussed hereafter can be by hardware, software, firmware, centre
Part, microcode, hardware description language or its any combination are implemented.Implement when with software, firmware, middleware or microcode
When, to implement the program code of necessary task or code segment can be stored in machine or computer-readable medium and (for example deposit
Storage media) in.(one or more) processor can implement necessary task.
Concrete structure and function detail disclosed herein are only representational, and are for describing showing for the present invention
The purpose of example property embodiment.But the present invention can be implemented by many alternative forms, and it is not interpreted as
It is limited only by the embodiments set forth herein.
Although it should be appreciated that may have been used term " first ", " second " etc. herein to describe unit,
But these units should not be limited by these terms.It is used for the purpose of using these terms by a unit and another unit
Make a distinction.For example, in the case of the scope without departing substantially from exemplary embodiment, it is single that first module can be referred to as second
Member, and similarly second unit can be referred to as first module.Term "and/or" used herein above include one of them or
Any and all combination of more listed associated items.
It should be appreciated that when a unit is referred to as " connecting " or during " coupled " to another unit, it can directly connect
Connect or be coupled to another unit, or there may be temporary location.On the other hand, when a unit is referred to as " directly connecting
Connect " or " direct-coupling " when arriving another unit, then in the absence of temporary location.It should in a comparable manner explain and be used to retouch
State the relation between unit other words (such as " between being in ... " compared to " between being directly in ... ", " and with ... it is adjacent
Closely " compared to " with ... be directly adjacent to " etc.).
Term used herein above is not intended to limit exemplary embodiment just for the sake of description specific embodiment.Unless
Context clearly refers else, otherwise singulative used herein above "one", " one " also attempt to include plural number.Should also
When understanding, term " comprising " and/or "comprising" used herein above provide stated feature, integer, step, operation,
The presence of unit and/or component, and do not preclude the presence or addition of other one or more features, integer, step, operation, unit,
Component and/or its combination.
It should further be mentioned that in some replaces realization modes, the function/action being previously mentioned can be according to different from attached
The order indicated in figure occurs.For example, depending on involved function/action, the two width figures shown in succession actually may be used
Substantially simultaneously to perform or can perform in a reverse order sometimes.
The present invention is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 is the flow signal of the method for the in-car safety monitoring based on computer vision of one embodiment of the invention
Figure.
This method comprises the following steps：
Step S1, in-car picture is obtained by camera；
Step S2, the in-car picture got is analyzed；Wherein analysis includes driver's driving privilege analysis,
Driver's driving behavior analysis, passenger's passenger choice behavior analysis；
Wherein, driver's privilege analysis identifies including Face datection：
Obtain in-car picture；
Major-minor is driven and carries out Face datection, obtains human face region；
Driver is identified, judges whether to possess driving authority.
Wherein, driver's driving behavior analysis includes line-of-sight detection：
Positioned by human eye to obtain driver's binocular position according to in-car picture；
Detection pilot's line of vision direction in real time；
Judge whether driver is not concerned with road surface ahead situation for a long time；
If it is not, the information that gives a warning.
Wherein, passenger's passenger choice behavior analysis includes：
Skin detection：By carrying out color sample to the human face region obtained by Face datection, and it is based on the existing colour of skin
Data analysis, obtain scope of the respective skin color of each occupant in the value of YCrCb color spaces.
Limbs conflict detects：It is in-car every because the camera fixed in advance is positioned at the one known position in in-car front
Individual corresponds to the different regions of each two field picture of camera, by skin detection, can obtain the naked of each occupant
The skin of dew gets rid of the location of known face, it becomes possible to substantially obtain everyone in the position of each two field picture
The position of trunk.Light stream is calculated to front and rear two field pictures.When the limbs that major-minor drives contact with each other, both are judged by algorithm
Whether limbs conflict occurring, for conflict, alert be present, and recording the in-car picture of surrounding time section,
Dispute processing is carried out for third party.
Step S3, judged by analysis in-car whether safe.
Compared with prior art, the present invention has advantages below：The following two approach of generally use in the prior art：Scheme
One, mainly take terminal device gps signal, judge vehicle whether for a long time in abnormality (such as be parked in for a long time some ground
Side), take the measure of alarm logging for the vehicle of exception.Scheme two, by carrying out ONLINE RECOGNITION to driver, judge that driver is
No is me, is realized to human pilot in line justification.Scheme one lacks the analysis to in-car actual conditions, it is impossible to which processing is just
Often the department that occurs multiplies dispute during traveling or short stay, and because lacking in-vehicle information, dispute can not be judged with
Processing.Scheme two only realizes the authentication to driver, lacks the analysis to copilot passenger, and can not handle the two
The scene clashed.And in the solution of the present invention, in-car picture is obtained by camera；To the passenger inside the vehicle got
Analyzed, carried out for driver's safety detection in itself and directly potential for driver and passenger with the situation of driver
Limbs and the safety monitoring of speech conflict, more comprehensively.
Fig. 2 is the structural representation of the device of the in-car safety monitoring based on computer vision of one embodiment of the invention
Figure.
The device includes：
Acquisition module 10, for obtaining in-car picture by camera；
Analysis module 20, for analyzing the in-car picture got；Wherein analysis includes driver's driving
Privilege analysis, driver's driving behavior analysis, passenger's passenger choice behavior analysis；
Wherein, driver's privilege analysis identifies including Face datection：
Obtain in-car picture；
Major-minor is driven and carries out Face datection, obtains human face region；
Driver is identified, judges whether to possess driving authority.
Wherein, driver's driving behavior analysis includes line-of-sight detection：
Positioned by human eye to obtain driver's binocular position according to in-car picture；
Detection pilot's line of vision direction in real time；
Judge whether driver is not concerned with road surface ahead situation for a long time；
If it is not, the information that gives a warning.
Wherein, passenger's passenger choice behavior analysis includes：
Skin detection：By carrying out color sample to the human face region obtained by Face datection, and it is based on the existing colour of skin
Data analysis, obtain scope of the respective skin color of each occupant in the value of YCrCb color spaces.
Limbs conflict detects：It is in-car every because the camera fixed in advance is positioned at the one known position in in-car front
Individual corresponds to the different regions of each two field picture of camera, by skin detection, can obtain the naked of each occupant
The skin of dew gets rid of the location of known face, it becomes possible to substantially obtain everyone in the position of each two field picture
The position of trunk.Light stream is calculated to front and rear two field pictures.When the limbs that major-minor drives contact with each other, both are judged by algorithm
Whether limbs conflict occurring, for conflict, alert be present, and recording the in-car picture of surrounding time section,
Dispute processing is carried out for third party.
Judge module 30, it is in-car whether safe for being judged by analysis.
Compared with prior art, the present invention has advantages below：The following two approach of generally use in the prior art：Scheme
One, mainly take terminal device gps signal, judge vehicle whether for a long time in abnormality (such as be parked in for a long time some ground
Side), take the measure of alarm logging for the vehicle of exception.Scheme two, by carrying out ONLINE RECOGNITION to driver, judge that driver is
No is me, is realized to human pilot in line justification.Scheme one lacks the analysis to in-car actual conditions, it is impossible to which processing is just
Often the department that occurs multiplies dispute during traveling or short stay, and because lacking in-vehicle information, dispute can not be judged with
Processing.Scheme two only realizes the authentication to driver, lacks the analysis to copilot passenger, and can not handle the two
The scene clashed.And in the solution of the present invention, in-car picture is obtained by camera；To the passenger inside the vehicle got
Analyzed, carried out for driver's safety detection in itself and directly potential for driver and passenger with the situation of driver
Limbs and the safety monitoring of speech conflict, more comprehensively.
It should be noted that the present invention can be carried out in the assembly of software and/or software and hardware, for example, this hair
Bright each device can using application specific integrated circuit (ASIC) or any other realized similar to hardware device.In one embodiment
In, software program of the invention can realize steps described above or function by computing device.Similarly, it is of the invention
Software program (including related data structure) can be stored in computer readable recording medium storing program for performing, for example, RAM memory,
Magnetically or optically driver or floppy disc and similar devices.In addition, some steps or function of the present invention can employ hardware to realize, example
Such as, coordinate as with processor so as to perform the circuit of each step or function.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires rather than described above limits, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as to the involved claim of limitation.This
Outside, it is clear that the word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in system claims is multiple
Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade word is used for table
Show title, and be not offered as any specific order.
Claims (8)
1. a kind of method of the in-car safety monitoring based on computer vision, wherein, this method comprises the following steps：
In-car picture is obtained by camera；
The in-car picture got is analyzed；Wherein analysis includes driver's driving privilege analysis, and driver drives
Behavioural analysis, passenger's passenger choice behavior analysis；
Judged by analysis in-car whether safe.
2. the method for claim 1, wherein driver's privilege analysis identifies including Face datection：
Obtain in-car picture；
Major-minor is driven and carries out Face datection, obtains human face region；
Driver is identified, judges whether to possess driving authority.
3. the method for claim 1, wherein driver's driving behavior analysis includes line-of-sight detection：
Positioned by human eye to obtain driver's binocular position according to in-car picture；
Detection pilot's line of vision direction in real time；
Judge whether driver is not concerned with road surface ahead situation for a long time；
If it is not, the information that gives a warning.
4. the method for claim 1, wherein passenger's passenger choice behavior analysis includes：
Skin detection：By carrying out color sample to the human face region obtained by Face datection, and it is based on existing colour of skin data
Analysis, obtains scope of the respective skin color of each occupant in the value of YCrCb color spaces.
Limbs conflict detects：Because the camera that fixes in advance is positioned at the one known position in in-car front, it is in-car everyone
The different regions of each two field picture of camera are all corresponded to, by skin detection, the exposed of each occupant can be obtained
Skin gets rid of the location of known face, it becomes possible to substantially obtain everyone trunk in the position of each two field picture
Position.Light stream is calculated to front and rear two field pictures.When the limbs that major-minor drives contact with each other, whether both are judged by algorithm
Generation limbs conflict, for conflict be present, alert, and record the in-car picture of surrounding time section, for the
Tripartite carries out dispute processing.
5. a kind of device of the in-car safety monitoring based on computer vision, wherein, the device includes：
Acquisition module, for obtaining in-car picture by camera；
Analysis module, for analyzing the in-car picture got；Wherein analysis includes driver's driving authority point
Analysis, driver's driving behavior analysis, passenger's passenger choice behavior analysis；
Judge module, it is in-car whether safe for being judged by analysis.
6. device as claimed in claim 5, wherein, driver's privilege analysis identifies including Face datection：
Obtain in-car picture；
Major-minor is driven and carries out Face datection, obtains human face region；
Driver is identified, judges whether to possess driving authority.
7. device as claimed in claim 5, wherein, driver's driving behavior analysis includes line-of-sight detection：
Positioned by human eye to obtain driver's binocular position according to in-car picture；
Detection pilot's line of vision direction in real time；
Judge whether driver is not concerned with road surface ahead situation for a long time；
If it is not, the information that gives a warning.
8. device as claimed in claim 5, wherein, passenger's passenger choice behavior analysis includes：
Skin detection：By carrying out color sample to the human face region obtained by Face datection, and it is based on existing colour of skin data
Analysis, obtains scope of the respective skin color of each occupant in the value of YCrCb color spaces.
Limbs conflict detects：Because the camera that fixes in advance is positioned at the one known position in in-car front, it is in-car everyone
The different regions of each two field picture of camera are all corresponded to, by skin detection, the exposed of each occupant can be obtained
Skin gets rid of the location of known face, it becomes possible to substantially obtain everyone trunk in the position of each two field picture
Position.Light stream is calculated to front and rear two field pictures.When the limbs that major-minor drives contact with each other, whether both are judged by algorithm
Generation limbs conflict, for conflict be present, alert, and record the in-car picture of surrounding time section, for the
Tripartite carries out dispute processing.
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| CN201710063012.2A CN107341438A (en) | 2017-01-24 | 2017-01-24 | The method and apparatus of in-car safety monitoring based on computer vision |
| CN201711059359.6A CN107729870A (en) | 2017-01-24 | 2017-11-01 | The method and apparatus of in-car safety monitoring based on computer vision |
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| CN204904499U (en) * | 2015-08-26 | 2015-12-23 | 中电科二十二所（青岛）天博信息科技公司 | Subway train alarm system |
| CN105292052A (en) * | 2015-11-12 | 2016-02-03 | 福州大学 | Automatic monitoring and alarming system for vehicle traffic safety |
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