CN108682158A - Video analysis and scoring method for early warning and system - Google Patents

Video analysis and scoring method for early warning and system Download PDF

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Publication number
CN108682158A
CN108682158A CN201810244706.0A CN201810244706A CN108682158A CN 108682158 A CN108682158 A CN 108682158A CN 201810244706 A CN201810244706 A CN 201810244706A CN 108682158 A CN108682158 A CN 108682158A
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China
Prior art keywords
image
driver
video
early warning
violation
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Pending
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CN201810244706.0A
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Chinese (zh)
Inventor
张晓东
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Shenzhen Rong Yi Bao Technology Co Ltd
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Shenzhen Rong Yi Bao Technology Co Ltd
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Priority to CN201810244706.0A priority Critical patent/CN108682158A/en
Publication of CN108682158A publication Critical patent/CN108682158A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content

Abstract

The present invention relates to video analysis and method for early warning and system, this method includes obtaining the video of vehicle interior in driving procedure;To video intercepting picture frame, picture frame is identified, obtains driving situation;Early warning is carried out according to driving situation.The present invention is by obtaining video, the driving behavior identification of driver is carried out to video, judge violation situation, and scored according to the driving behavior of violation situation progress driver, driving behavior is quantified, early warning is carried out according to appraisal result, realize the driving behavior for automatically analyzing driver, it is efficient, and unlawful practice is quantified, early warning effect is played in time, the generation to avoid traffic accident.

Description

Video analysis and scoring method for early warning and system
Technical field
More specifically refer to video analysis and scoring and is at method for early warning the present invention relates to analysis technical field is driven System.
Background technology
The driving behavior of driver is to study a more extensive volume project in the world in recent ten years, driver's The analysis and early warning of driving behavior are conducive to cultivate good driving habit for vehicle drive people, reduce property damage It loses;For insurance company, risk indicator can be more fully assessed, more accurately estimated amount of damage can be brought, dropped significantly Its low Claims Resolution cost increases renewed treaty rate in addition, the consumption experience of client can also be promoted;For department of fleet management, have Vehicle drive situations are grasped conducive to comprehensive, takes timely measure and prevents trouble before it happens, it is horizontal to improve fleet's configuration management;For prison For pipe mechanism, be conducive to promote supervisory efficiency and ability to supervise, effectively evade traffic accident, strengthens road safety.
But there is no the methods that a set of driving behavior to driver automatically analyzes at present, generally use is profession Personage is judged using experience, less efficient, and can not play early warning effect in time, leads to traffic accident.
Therefore, it is necessary to design a kind of new video analysis and the method for early warning that scores, realizes and automatically analyze driving for driver Behavior is sailed, it is efficient, and unlawful practice is quantified, early warning effect is played in time, the generation to avoid traffic accident.
Invention content
It is an object of the invention to overcome the deficiencies of existing technologies, video analysis and scoring method for early warning and system are provided.
To achieve the above object, the present invention uses following technical scheme:Video analysis and scoring method for early warning, the side Method includes:
Obtain the video of vehicle interior in driving procedure;
To video intercepting picture frame, picture frame is identified, obtains driving situation;
It is scored in real time according to driving situation;
Early warning is carried out according to appraisal result.
Its further technical solution is:To video intercepting picture frame, picture frame is identified, obtains driving situation Step, including step in detail below:
Obtain the picture frame of video;
Driver's image in interception image frame;
Judge whether driver's image is consistent with the violation image in setting database;
If driver's image is consistent with the violation image in setting database, driver's image and setting data are obtained The continuous frame number of violation image unanimously in library;
The violation time is obtained according to continuous frame number;
Judge whether the violation time is more than setting time;
If so, obtaining the consistent corresponding unlawful practice of violation image, message packet output is formed;
If driver's image and the violation image in setting database are inconsistent, the image for obtaining video is returned The step of frame.
Its further technical solution is:The step of being scored in real time according to driving situation, including step in detail below:
According to unlawful practice, obtain driver reduces score;
Score is reduced according to the upper driving score of driver and currently, obtains driver's present score.
Its further technical solution is:The step of carrying out early warning according to appraisal result, specifically currently divides driver Number drives unlawful practice and the output of violation time, carries out early warning.
The present invention also provides video analysis and scoring early warning systems, including video acquisition unit, recognition unit, scoring Unit and prewarning unit;
The video acquisition unit, the video for obtaining vehicle interior in driving procedure;
The recognition unit obtains driving situation for video intercepting picture frame, picture frame to be identified;
The scoring unit, for being scored in real time according to driving situation;
The prewarning unit, for carrying out early warning according to appraisal result.
Its further technical solution is:The recognition unit includes picture frame acquisition module, image collection module, first Judgment module, frame number acquisition module, time-obtaining module, the second judgment module and message output module;
Described image frame acquisition module, the picture frame for obtaining video;
Described image acquisition module, for driver's image in interception image frame;
First judgment module, for judging whether driver's image is consistent with the violation image in setting database;
If the frame number acquisition module obtains consistent with the violation image set in database for driver's image Driver's image continuous frame number consistent with the violation image in setting database;
The time-obtaining module, for obtaining the violation time according to continuous frame number;
Second judgment module, for judging whether the violation time is more than setting time;
The message output module is used for if so, obtaining the consistent corresponding unlawful practice of violation image, and formation disappears Cease message output.
Its further technical solution is:The scoring unit includes reducing score acquisition module and present score acquisition Module;
It is described to reduce score acquisition module, for according to unlawful practice, obtain driver to reduce score;
The present score acquisition module is obtained for driving score according to driver upper one and currently reducing score Driver's present score.
Compared with the prior art, the invention has the advantages that:The video analysis and scoring method for early warning of the present invention, passes through Video is obtained, the driving behavior that driver is carried out to video identifies, judges violation situation, and driven according to violation situation The driving behavior of member is scored, and driving behavior is quantified, and carries out early warning according to appraisal result, realization automatically analyzes driver Driving behavior, it is efficient, and unlawful practice is quantified, play early warning effect in time, the generation to avoid traffic accident.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Description of the drawings
Fig. 1 is the flow chart of the video analysis that the specific embodiment of the invention provides and the method for early warning that scores;
Fig. 2 is the flow chart for the acquisition driving situation that the specific embodiment of the invention provides;
Fig. 3 is the flow chart to be scored in real time according to driving situation that the specific embodiment of the invention provides;
Fig. 4 is the video analysis that the specific embodiment of the invention provides and the structure diagram for the early warning system that scores;
Fig. 5 is the structure diagram for the recognition unit that the specific embodiment of the invention provides;
Fig. 6 is the structure diagram for the scoring unit that the specific embodiment of the invention provides.
Specific implementation mode
In order to more fully understand the technology contents of the present invention, with reference to specific embodiment to technical scheme of the present invention It is further described and illustrates, but not limited to this.
Specific embodiment as shown in figs. 1 to 6, video analysis provided in this embodiment and scoring method for early warning, Ke Yiyun Used in personal driving norms process or insurance company's assessment wind direction, fleet management's division management vehicle and regulatory agency's prison Pipe driver realizes the driving behavior for automatically analyzing driver, efficient, and plays early warning effect in time, avoids traffic accident Generation.
As shown in Figure 1, present embodiments providing video analysis and scoring method for early warning, this method includes:
S1, the video for obtaining vehicle interior in driving procedure;
S2, to video intercepting picture frame, picture frame is identified, obtain driving situation;
S3, it is scored in real time according to driving situation;
S4, early warning is carried out according to appraisal result.
For above-mentioned S1 steps, the video of vehicle interior in driving procedure is obtained particular by vehicle-mounted camera.
Further, picture frame is identified video intercepting picture frame in above-mentioned S2 steps, acquisition is driven The step of sailing situation, including step in detail below:
S21, the picture frame for obtaining video;
Driver's image in S22, interception image frame;
S23, judge whether driver's image is consistent with the violation image in setting database;
If S24, driver's image are consistent with the violation image in setting database, driver's image and setting are obtained The continuous frame number of violation image unanimously in database;
S25, the violation time is obtained according to continuous frame number;
S26, judge whether the violation time is more than setting time;
S27, if so, obtaining the consistent corresponding unlawful practice of violation image, form message packet output;
If driver's image and the violation image in setting database are inconsistent, S21 steps are returned.
To S27 steps, processor is handled and is identified to picture frame above-mentioned S21 steps, to driver's image and number It is compared one by one according to the violation image stored in library, it specifically, can be by the image segmentation of the two at several small lattice, often A small lattice compare one by one, obtain likelihood, recycle the mode of weighted sum, obtain the similar overall rate of two images, are more than The similar overall rate of given threshold then shows that two images are consistent.
Further, above-mentioned S3 steps, the step of scoring in real time according to driving situation, including in detail below Step:
S31, according to unlawful practice, obtain driver reduces score;
S32, score is driven according to driver upper one and currently reduces score, obtain driver's present score.
For example, if the unlawful practice time is more than 5min, it is more than that each unlawful practice has weight to be considered as, profit It is multiplied by weight with the time, score is reduced in formation.
Unlawful practice is quantified, driver can be made more to understand that the light of itself unlawful practice with again, drives vehicle It sails for people, is conducive to cultivate good driving habit, reduces property loss;It, can be more fully for insurance company Risk indicator is assessed, more accurately estimated amount of damage can be brought, its cost of settling a claim is substantially reduced, in addition, can also promote client's Consumption experience increases renewed treaty rate;For department of fleet management, is conducive to grasp vehicle drive situations comprehensively, take in time Measure prevents trouble before it happens, and it is horizontal to improve fleet's configuration management;For regulatory agency, be conducive to promote supervisory efficiency and prison Pipe ability effectively evades traffic accident, strengthens road safety.
For above-mentioned S4 steps, the step of early warning is carried out according to appraisal result, specifically by driver's present score, Unlawful practice and the output of violation time are driven, early warning is carried out.
In the present embodiment, the early warning of voice prompt or the early warning that word is reminded may be used.
In addition, above-mentioned method further includes:
Identify the identity of driver;
The identity of driver is verified, judges whether the identity of driver meets setting condition;
If so, the message that output is proved to be successful.
Whether above-mentioned setting condition is then to have to store up and back up in databases.
Above-mentioned video analysis and scoring method for early warning carries out video the driving behavior of driver by obtaining video Identification judges violation situation, and is scored according to the driving behavior of violation situation progress driver, and driving behavior is quantified, Early warning is carried out according to appraisal result, realizes the driving behavior for automatically analyzing driver, it is efficient, and unlawful practice is quantified, and When play early warning effect, the generation to avoid traffic accident.
As shown in figure 4, the present invention also provides video analysis and scoring early warning systems comprising video acquisition unit 1, Recognition unit 2, scoring unit 3 and prewarning unit 4.
Video acquisition unit 1, the video for obtaining vehicle interior in driving procedure.Particular by vehicle-mounted camera Obtain the video of vehicle interior in driving procedure.
Recognition unit 2 obtains driving situation for video intercepting picture frame, picture frame to be identified.
Score unit 3, for being scored in real time according to driving situation.
Prewarning unit 4, for carrying out early warning according to appraisal result.
Further, above-mentioned recognition unit 2 is sentenced including picture frame acquisition module 21, image collection module 22, first Disconnected module 23, frame number acquisition module 24, time-obtaining module 25, the second judgment module 26 and message output module 27.
Picture frame acquisition module 21, the picture frame for obtaining video.
Image collection module 22, for driver's image in interception image frame.
First judgment module 23, for judging whether driver's image is consistent with the violation image in setting database.
Frame number acquisition module 24, if consistent with the violation image set in database for driver's image, acquisition is driven The person's of sailing image continuous frame number consistent with the violation image in setting database.
Time-obtaining module 25, for obtaining the violation time according to continuous frame number.
Second judgment module 26, for judging whether the violation time is more than setting time.
Message output module 27 is used to if so, obtain the consistent corresponding unlawful practice of violation image, form message Message exports.
Processor is handled and is identified to picture frame, to driver's image and databases storage violation image into Row compares one by one, specifically, can be by the image segmentation of the two at several small lattice, and each small lattice are compared, obtained similar one by one Rate recycles the mode of weighted sum, obtains the similar overall rate of two images, is more than the similar overall rate of given threshold, then Show that two images are consistent.
Further, scoring unit 3 includes reducing score acquisition module 31 and present score acquisition module 32.
Score acquisition module 31 is reduced, for according to unlawful practice, obtain driver to reduce score.
Present score acquisition module 32, for driving score according to driver upper one and currently reducing score, acquisition is driven The person's of sailing present score.
For example, if the unlawful practice time is more than 5min, it is more than that each unlawful practice has weight to be considered as, profit It is multiplied by weight with the time, score is reduced in formation.
Unlawful practice is quantified, driver can be made more to understand that the light of itself unlawful practice with again, drives vehicle It sails for people, is conducive to cultivate good driving habit, reduces property loss;It, can be more fully for insurance company Risk indicator is assessed, more accurately estimated amount of damage can be brought, its cost of settling a claim is substantially reduced, in addition, can also promote client's Consumption experience increases renewed treaty rate;For department of fleet management, is conducive to grasp vehicle drive situations comprehensively, take in time Measure prevents trouble before it happens, and it is horizontal to improve fleet's configuration management;For regulatory agency, be conducive to promote supervisory efficiency and prison Pipe ability effectively evades traffic accident, strengthens road safety.
For above-mentioned prewarning unit 4, specifically by driver's present score, driving unlawful practice and violation time Output carries out early warning.
In the present embodiment, the early warning of voice prompt or the early warning that word is reminded may be used.
In addition, above-mentioned system further includes identity processing unit 4, the identity processing unit 4 includes identification module 41, identity judgment module 42 and output module 43.
Identification module 41, for identification identity of driver.
Identity judgment module 42 is verified for the identity to driver, is judged whether the identity of driver meets and is set Fixed condition.
Output module 43, for if so, the message that output is proved to be successful.
Whether above-mentioned setting condition is then to have to store up and back up in databases.
The present invention also provides a kind of video analysis and scoring early warning systems comprising:One or more processors are deposited Reservoir, and, one or more programs, the one or more program is stored in memory, and being configured as can be by the place It manages device and reads execution, one or more of programs include the instruction that can be used for executing following steps:
Obtain the video of vehicle interior in driving procedure;
To video intercepting picture frame, picture frame is identified, obtains driving situation;
It is scored in real time according to driving situation;
Early warning is carried out according to appraisal result.
The processor further includes the video analysis of any application described in above method embodiment when executing and scores pre- Some or all of alarm method step.
Above-mentioned video analysis and scoring early warning system carries out video the driving behavior of driver by obtaining video Identification judges violation situation, and is scored according to the driving behavior of violation situation progress driver, and driving behavior is quantified, Early warning is carried out according to appraisal result, realizes the driving behavior for automatically analyzing driver, it is efficient, and unlawful practice is quantified, and When play early warning effect, the generation to avoid traffic accident.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as to a system The combination of actions of row, but those skilled in the art should understand that, the present invention is not limited by the described action sequence, Because according to the present invention, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art also answer This knows that embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily originally Necessary to invention.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by others side Formula is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the unit division, only one Kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or It is desirably integrated into another system, or some features can be ignored or not executed.
The unit illustrated as separating component may or may not be physically separated, as unit The component of display may or may not be physical unit, you can be located at a place, or may be distributed over more In a network element.Some or all of unit therein can be selected according to the actual needs to realize this embodiment scheme Purpose.
In addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, also may be used It, can also be during two or more units be integrated in one unit to be that each unit physically exists alone.It is above-mentioned integrated The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a processor, i.e., in computer read/write memory medium.Based on this understanding, skill of the invention Substantially all or part of the part that contributes to existing technology or the technical solution can be with soft in other words for art scheme The form of part product embodies, which is stored in a storage medium, including some instructions are making It obtains a computer equipment (can be personal computer, server or network equipment etc.) and executes each embodiment institute of the present invention State all or part of step of method.And storage medium above-mentioned includes:USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various The medium of program code can be stored.
It is above-mentioned only with embodiment come the technology contents that further illustrate the present invention, in order to which reader is easier to understand, but not It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by the present invention's Protection.Protection scope of the present invention is subject to claims.

Claims (7)

1. video analysis and scoring method for early warning, which is characterized in that the method includes:
Obtain the video of vehicle interior in driving procedure;
To video intercepting picture frame, picture frame is identified, obtains driving situation;
It is scored in real time according to driving situation;
Early warning is carried out according to appraisal result.
2. video analysis according to claim 1 and scoring method for early warning, which is characterized in that video intercepting picture frame, The step of picture frame is identified, driving situation is obtained, including step in detail below:
Obtain the picture frame of video;
Driver's image in interception image frame;
Judge whether driver's image is consistent with the violation image in setting database;
If driver's image is consistent with the violation image in setting database, obtains driver's image and set in database The consistent continuous frame number of violation image;
The violation time is obtained according to continuous frame number;
Judge whether the violation time is more than setting time;
If so, obtaining the consistent corresponding unlawful practice of violation image, message packet output is formed;
If driver's image and the violation image in setting database are inconsistent, the step of the picture frame for obtaining video is returned Suddenly.
3. video analysis according to claim 1 or 2 and scoring method for early warning, which is characterized in that according to driving situation into The step of row scoring in real time, including step in detail below:
According to unlawful practice, obtain driver reduces score;
Score is reduced according to the upper driving score of driver and currently, obtains driver's present score.
4. video analysis according to claim 3 and scoring method for early warning, which is characterized in that carried out according to appraisal result pre- Driver's present score, driving unlawful practice and violation time are specifically exported, carry out early warning by alert step.
5. video analysis and scoring early warning system, which is characterized in that including video acquisition unit, recognition unit, scoring unit with And prewarning unit;
The video acquisition unit, the video for obtaining vehicle interior in driving procedure;
The recognition unit obtains driving situation for video intercepting picture frame, picture frame to be identified;
The scoring unit, for being scored in real time according to driving situation;
The prewarning unit, for carrying out early warning according to appraisal result.
6. video analysis according to claim 5 and scoring early warning system, which is characterized in that the recognition unit includes figure As frame acquisition module, image collection module, the first judgment module, frame number acquisition module, time-obtaining module, the second judgment module And message output module;
Described image frame acquisition module, the picture frame for obtaining video;
Described image acquisition module, for driver's image in interception image frame;
First judgment module, for judging whether driver's image is consistent with the violation image in setting database;
If the frame number acquisition module obtains driving consistent with the violation image set in database for driver's image Person's image continuous frame number consistent with the violation image in setting database;
The time-obtaining module, for obtaining the violation time according to continuous frame number;
Second judgment module, for judging whether the violation time is more than setting time;
The message output module is used to if so, obtain the consistent corresponding unlawful practice of violation image, form message packet Output.
7. video analysis according to claim 6 and scoring early warning system, which is characterized in that the scoring unit includes button Deduction number acquisition module and present score acquisition module;
It is described to reduce score acquisition module, for according to unlawful practice, obtain driver to reduce score;
The present score acquisition module is obtained and is driven for driving score according to driver upper one and currently reducing score Member's present score.
CN201810244706.0A 2018-03-23 2018-03-23 Video analysis and scoring method for early warning and system Pending CN108682158A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109345829A (en) * 2018-10-29 2019-02-15 百度在线网络技术(北京)有限公司 Monitoring method, device, equipment and the storage medium of unmanned vehicle
CN111353471A (en) * 2020-03-17 2020-06-30 北京百度网讯科技有限公司 Safe driving monitoring method, device, equipment and readable storage medium
CN112800854A (en) * 2021-01-04 2021-05-14 中南大学 Automatic analysis system for locomotive crew operation based on image
CN113291313A (en) * 2021-06-30 2021-08-24 三一专用汽车有限责任公司 Driving behavior early warning method and device and operation machine
CN113642462A (en) * 2021-08-13 2021-11-12 机汇网(深圳)科技有限公司 Driving behavior assessment method and device, terminal equipment and storage medium
CN113962633A (en) * 2021-10-27 2022-01-21 哈尔滨职业技术学院 Traffic transportation safety production management system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19518914A1 (en) * 1994-05-30 1995-12-07 Kord Stelter Reaction testing for vehicle driver
CN101599207A (en) * 2009-05-06 2009-12-09 深圳市汉华安道科技有限责任公司 A kind of fatigue driving detection device and automobile
CN102263937A (en) * 2011-07-26 2011-11-30 华南理工大学 Driver's driving behavior monitoring device and monitoring method based on video detection
CN103198618A (en) * 2013-04-13 2013-07-10 杭州立体世界科技有限公司 Mobile phone capable of preventing fatigue driving and warning method
CN103310590A (en) * 2012-03-06 2013-09-18 上海骏聿数码科技有限公司 System and method for driver fatigue analysis and early-warning
CN103366506A (en) * 2013-06-27 2013-10-23 北京理工大学 Device and method for automatically monitoring telephone call behavior of driver when driving
CN104635720A (en) * 2014-12-11 2015-05-20 上海天奕无线信息科技有限公司 Vehicle safety prewarning method and vehicle safety prewarning equipment
CN106651910A (en) * 2016-11-17 2017-05-10 北京蓝天多维科技有限公司 Intelligent image analysis method and alarm system for abnormal driver behavior state
CN105160913B (en) * 2015-08-17 2018-02-06 上海斐讯数据通信技术有限公司 A kind of method and device of specification driver driving behavior

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19518914A1 (en) * 1994-05-30 1995-12-07 Kord Stelter Reaction testing for vehicle driver
CN101599207A (en) * 2009-05-06 2009-12-09 深圳市汉华安道科技有限责任公司 A kind of fatigue driving detection device and automobile
CN102263937A (en) * 2011-07-26 2011-11-30 华南理工大学 Driver's driving behavior monitoring device and monitoring method based on video detection
CN103310590A (en) * 2012-03-06 2013-09-18 上海骏聿数码科技有限公司 System and method for driver fatigue analysis and early-warning
CN103198618A (en) * 2013-04-13 2013-07-10 杭州立体世界科技有限公司 Mobile phone capable of preventing fatigue driving and warning method
CN103366506A (en) * 2013-06-27 2013-10-23 北京理工大学 Device and method for automatically monitoring telephone call behavior of driver when driving
CN104635720A (en) * 2014-12-11 2015-05-20 上海天奕无线信息科技有限公司 Vehicle safety prewarning method and vehicle safety prewarning equipment
CN105160913B (en) * 2015-08-17 2018-02-06 上海斐讯数据通信技术有限公司 A kind of method and device of specification driver driving behavior
CN106651910A (en) * 2016-11-17 2017-05-10 北京蓝天多维科技有限公司 Intelligent image analysis method and alarm system for abnormal driver behavior state

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
HAMIT SOYEL: "Localized discriminative scale invariant feature transform based facial sepression recognition", 《COMPUTERS AND ELECTRICAL ENGINEERING》 *
陈英: "虹膜定位和识别算法的研究", 《中国博士学位论文全文数据库 信息科技辑》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109345829A (en) * 2018-10-29 2019-02-15 百度在线网络技术(北京)有限公司 Monitoring method, device, equipment and the storage medium of unmanned vehicle
CN111353471A (en) * 2020-03-17 2020-06-30 北京百度网讯科技有限公司 Safe driving monitoring method, device, equipment and readable storage medium
CN112800854A (en) * 2021-01-04 2021-05-14 中南大学 Automatic analysis system for locomotive crew operation based on image
CN113291313A (en) * 2021-06-30 2021-08-24 三一专用汽车有限责任公司 Driving behavior early warning method and device and operation machine
CN113642462A (en) * 2021-08-13 2021-11-12 机汇网(深圳)科技有限公司 Driving behavior assessment method and device, terminal equipment and storage medium
CN113962633A (en) * 2021-10-27 2022-01-21 哈尔滨职业技术学院 Traffic transportation safety production management system

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