CN1769107A - Automobile anti-theft method based on human face identification technology - Google Patents
Automobile anti-theft method based on human face identification technology Download PDFInfo
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Abstract
The invention discloses a vehicle anti-thief method based on the face-identification technique, which comprises following steps: first collecting data; then combining the motion visual information to process face identification; at last, controlling the identified result. After the identification, the identified information is connected to the control bus of vehicle power system, while the identified result is illegal and the vehicle is not started, controlling the motor of vehicle to avoid the start, and while the vehicle is moving, the main control system sends the control signal to the speed control system to limit its mph and combine the vehicle-carrying GPS positioning system to send the alarm information of real-time position of vehicle, which can apply the tracing and catching on the thief.
Description
Technical field
The present invention relates to a kind of automobile anti-theft method in the vehicle electric field based on human face identification technology.
Background technology
Vehicle electronics becomes one of focus of China Electronics's industry concern day by day as the combination of dynam and electronics, and is subjected to the attention of automaker and social insurance industry as the automobile burglar of safety control always.Along with the development that vehicle electronics makes rapid progress, the automobile burglar security system is becoming the focus of people's research.The automobile burglar technology just develops towards automation, intelligentized direction at present.More advanced automobile burglar technology comprises electron key formula electronic lock, biological lock (Fingerprint Lock and acoustic control anti-theft column lock) etc.Existing anti-theft technique is general only to carry out one-time authentication when automobile starting, the situation of driving is not monitored in real time, then seems powerless for the misfortune car incident that occurs in the vehicle traveling process.
And face recognition technology because have initiative, non-infringement, do not relate to individual privacy, advantage such as user friendly and convenient, be a kind of very competitive authentication identifying method, be widely used and good industrial prospect at aspects such as safety, security personnel and ecommerce.
Existing face recognition technology mainly contains: based on the method for geometric properties, based on the method for template with based on the method for model.Based on the method for geometric properties be the earliest, the most traditional method, need usually and other algorithms in conjunction with just reasonable effect being arranged; Can be divided into method based on relevant matches, eigenface method, linear discriminant analysis method, singular value decomposition method, neural net method, dynamically connect matching process etc. based on the method for template.Method based on model then has based on stealthy Markov Model the method for active shape model and active appearance models etc.Existing face recognition algorithms is generally just discerned the still image in the video, underuses the movable information in the video, and the identification calculated amount is big, and efficient has much room for improvement.
Relevant at present patent has:
(1) Chinese invention patent ublic specification of application CN1495658A is (open day: on May 12nd, 2004).This patent application lays particular emphasis on the safety problem of chaufeur, by monitoring the behavior of driving and the state of mind of chaufeur, as steal car, driver fatigue and glance right and left etc., when verifying out that driver identity is illegal, just provide the telecommunication call alerts, vehicle is not controlled, located, the follow-up tracking of back to vehicle is unfavorable for reporting to the police.The method of recognition of face part adopts in this patent simultaneously is that image standardization processing, background subtraction, Karhunen-Loeve transformation are asked for methods such as eigenface, obviously different with method of the present invention.
(2) Chinese invention patent ublic specification of application CN1414514A is (open day: on April 30th, 2003).This patent application just realizes the function of video monitor, and is on application scenario and control method, all inequality with the present invention.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of automobile anti-theft method based on human face identification technology, utilize the recognition of face of extracting movable information that driver identity is verified, result with checking starts the automobile master control system simultaneously, assurance has only the authorized person to have the driving right, reach real-time monitoring, improve the theftproof performance of automobile chaufeur.
For solving the problems of the technologies described above, a kind of automobile anti-theft method based on human face identification technology of the present invention comprises the steps:
At first carry out data acquisition, use video capture device to obtain video data with infrared function; Then, carry out recognition of face, made full use of sport video information during identification; At last, recognition result is controlled,
If detect navigating mate is legal navigating mate, then give the right that the driver drives, simultaneously legal signal is sent to the control bus of automobile dynamic system, after bus obtains this signal, normal mode is installed is allowed chaufeur that automobile is carried out various operations;
Whether if the result who detects is not a facial image, then should further differentiate is this car indoor setting image, if car indoor setting image illustrates that then car is interior unmanned, driving engine can not start; If not this car indoor setting image, then might be that navigating mate is worn a mask and driven, then by automobile control bus control driving engine, do not allow engine starting if automobile does not start this moment; If automobile is in the driving process, then automobile is carried out speed limit by control gear shift function unit, master control system starts the onboard wireless warning device by automobile bus simultaneously, send alerting signal to car owner and public security system 110 alarm centers, provide real-time automobile position information by the vehicle GPS position fixing system;
If detecting navigating mate is illegal navigating mate, system prompt enters the aid identification of next stage; Auxiliary input password identification function only under the situation that automobile does not travel effectively, then need not input password once more till next parking of automobile after checking is passed through, travel once more and must input password once more or the identified person is legal driver;
If recognition of face and auxiliary password authentification are not all passed through, send alerting signal to car owner and public security system 110 alarm centers immediately;
Gather the chaufeur view data in real time by video capture device, carry out the recognition of face of a new round at set intervals, so just can reach real-time monitoring chaufeur in the car.
The invention has the beneficial effects as follows, recognition of face is used for this certain applications of automobile burglar, lay particular emphasis on after the authentication and being connected and control of automobile master control system.The motoring condition of vehicle directly obtains from the speed detection system of automobile, helps the cost control of device.After authentication, authorization information is connected with the automobile dynamic system control bus.When verifying that the result is illegal, if automobile does not start, then the Control of Automobile driving engine does not allow its startup.If automobile is in motoring condition, then master control system is sent out control signal and is given speed control system, the restricting vehicle speed per hour, and provide the alarm message of real-time vehicle position in conjunction with the vehicle GPS position fixing system, be beneficial in time follow the trail of and catch the car stealer.
Automobile anti-theft method of the present invention adopts face recognition technology, and have initiative, non-infringement, do not relate to individual privacy, user friendly and convenient, and also more flexible, safe, reliably, reach real-time theft-proof purpose.
Description of drawings
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments:
Fig. 1 is a method flow diagram of the present invention;
Fig. 2 is the pretreatment process figure that carries out recognition of face among Fig. 1;
Fig. 3 is the people's face detection algorithm diagram of circuit that carries out recognition of face among Fig. 1;
The specific embodiment
A kind of automobile anti-theft method of the present invention based on human face identification technology, face recognition technology and automobile master control system combined be used for automotive theft proof system, recognition of face automotive theft proof system FRMGS (Face Recognition for Mobile GuardSystem) is installed in the automobile car, gather the video image of navigating mate in real time by video acquisition system, carry out the detection and Identification of people's face, the result of identification passes to the automobile master control system by automobile bus, by the work of master control system control corresponding component, thereby whether decision gives the right of driving.
As shown in Figure 1, method of the present invention comprises the steps.
At first, carry out data acquisition, for example can use video capture device to gather video data in real time.This video capture device is with the pick up camera of infrared function or the first-class collecting device of making a video recording, and main purpose is when in the car during insufficient light, can the infrared function of self-opening, and make the effect of shooting still can satisfy the requirement of recognition of face.
Then, the video data of gathering is carried out recognition of face.Recognition of face mainly comprises: pretreatment, people's face detect and recognition of face three parts.
Pretreatment.Face recognition algorithms is used for automotive theft proof system, to the requirement of the real-time of system than higher, and the people is in startup procedure, facial image is not unalterable, but constantly change along with the variation of angle and light, so image is carried out must carrying out necessary pretreatment before the recognition of face, makes the brightness of image and the requirement of size conforms identification.When carrying out pretreatment in the method for the present invention, employing be light compensation and size normalized, do not do simultaneously the subduction operation of background yet.The light compensation method can adopt the image histogram equalization to handle, and size normalization method then is that the image size is carried out convergent-divergent, makes that the people is bold little consistent in the facial image size of taking and the data bank.Preprocessing process as shown in Figure 2.
People's face detects.As shown in Figure 3, the present invention adopts the method for complexion model to carry out the detection of people's face.The colour of skin is the important information of people's face, does not rely on facial minutia, can both be suitable for for situations of change such as rotation, expressions, has relative stable and distinguish mutually with the color of most of background objects.The present invention adopts normalized r-b (red-indigo plant) chrominance space, Gauss's complexion model to carry out Face Detection.
At first define normalized r-b chrominance space, the RGB (RGB chrominance space) of three-dimensional is reduced to two dimension.On this two dimensional surface, the zone of the colour of skin is very concentrated, can describe this distribution with Gauss model; Secondly, train to obtain this center of distribution; Then, obtain the similarity of itself and the colour of skin, form the similarity distribution graph of a former figure, to this distribution graph binaryzation, with the final zone of determining the colour of skin according to the distance of the pixel of being investigated from this center.
After detecting colour of skin pixel, need be partitioned into possible zone according to they correlativitys on similarity on the colourity and space, utilize the geometric properties in zone or gray feature to carry out the checking of people's face simultaneously, to get rid of the object of the similar colour of skin of other colors.
Recognition of face.When carrying out recognition of face, at first set up authorized person's face database, set up the corresponding relation of people's face in people's face to be detected and the data bank then, differentiate.Can extensively adopt the face recognition algorithms of various maturations, as Eigenface (eigenface method), Fisherface (linear discriminant method), neural network algorithm and various new face recognition algorithms etc., with raising recognition of face rate, and be not algorithm limits that Karhunen-Loeve transformation is a kind of.
On the basis that makes full use of existing face recognition technology, the present invention has also made full use of the movable information in the video in face recognition process.Traditional face identification method is independently to carry out for the processing of every two field picture in the video, does not utilize the movable information of consecutive frame.The present invention has made full use of the movable information between the consecutive frame image.After detecting people's face, by judging the size of consecutive frame image motion in the video flowing, whether the scene switching has perhaps taken place determined whether carrying out the identification of next round, only in big motion, just carry out the recognition of face of next round, can improve the accuracy of identification like this, reduce because the angle of people's face and the erroneous judgement that expression shape change causes have also reduced calculated amount simultaneously.
At last, recognition result is controlled.Recognition result is connected with the automobile master control system and control.For example: face recognition result is reached master control system by vehicle data bus, control bus (as high-speed CAN bus, low speed CAN bus, LIN bus etc.) by automobile dynamic system, connect electronic control device for vehicle and car-mounted electronic device in the car, reach control driving engine, throttle and vehicle carried device.
Vehicle electronics comprises two parts, and the one, electronic control device for vehicle is as driving engine, chassis, Body Control etc.; The 2nd, vehicular automotive electronic device is as vehicle information system, navigationsystem, Vehicular communication system etc.Connection is connected to become a network with various auto electroincss, sends and receives information by data bus.Can visit any one electronic control package by data bus.The present invention combines above-mentioned two class vehicle electronicss exactly.Use method of the present invention face identification system as vehicular automotive electronic device, by the automobile control bus, the result and the electronic control device for vehicle of recognition of face carried out getting in touch and linking up of information, thereby reaches control each parts of automobile.
If it is legal navigating mate that system detects navigating mate, then control is given the control bus (as high-speed CAN bus, low speed CAN bus, LIN bus etc.) of automobile dynamic system, after bus obtained this information, the Control of Automobile engine starting allowed to drive.Light deflector, bearing circle, throttle, seat position and vehicle audio etc. all can be adjusted arbitrarily by driver's wish simultaneously.
Whether if the result who detects is not a facial image, then should further differentiate is this car indoor setting image, if car indoor setting image illustrates that then car is interior unmanned, driving engine does not start; If not this car indoor setting image, then might be that navigating mate is worn a mask and driven, then by automobile control bus control driving engine, do not allow engine starting if automobile does not start this moment; If automobile is in the driving process, then automobile is carried out speed limit by control gear shift function unit, master control system starts the onboard wireless warning device by automobile bus simultaneously, sends alerting signal to car owner and public security system 110 alarm centers.
If detecting navigating mate is illegal navigating mate, if this moment, automobile was in halted state, system prompt enters the aid identification (for example, importing password etc.) of next stage.The present invention combines the recognition of face checking with aided verification, can be under the situation that does not change face database, improve the alerting ability when increasing interim chaufeur.If password authentification is passed through, then give the driving right.Otherwise, refuse it and drive, the control bus (as high-speed CAN bus, low speed CAN bus, LIN bus etc.) of corresponding information by automobile dynamic system passed to corresponding apparatus, as car engine and warning device etc.If automobile does not start, then the Control of Automobile driving engine does not allow its startup; If automobile is in motoring condition, then by the speed per hour of master control system restricting vehicle, master control system starts the onboard wireless warning device by automobile bus simultaneously, sends alerting signal to car owner and public security system 110 alarm centers.Public security system receives the report for police service behind the signal, in conjunction with the vehicle GPS position fixing system of stolen vehicle, can in time catch the car stealer.The present invention combines the recognition of face checking with aided verification, can remedy the alerting ability deficiency of recognition system, under the situation of temporarily driving to other people such as automobile, table etc. that password and setting code can only simply be set gets final product, and does not need additionally to set up driver's face phase data.
In the present invention, gather the chaufeur view data in real time by video acquisition system, carry out the recognition of face (time gap can on-the-fly modify according to the practical application needs) of a new round at set intervals, so just can reach real-time monitoring chaufeur in the car.
Claims (7)
1, a kind of automobile anti-theft method based on human face identification technology comprises the steps: at first to carry out data acquisition, then, carries out recognition of face, and is last, and recognition result is controlled, and it is characterized in that:
If detected navigating mate is legal, then give the right that the driver drives, simultaneously legal signal is sent to the control bus of automobile dynamic system, after described bus obtains this signal, normal mode is installed is allowed chaufeur that automobile is carried out various operations;
Whether if the result who detects is not a facial image, then should further differentiate is this car indoor setting image, if, illustrating that then car is interior unmanned, driving engine can not start; If not, then might be that navigating mate is worn a mask and driven; At this moment, if automobile does not start, then, do not allow engine starting by automobile control bus control driving engine; If automobile is in the driving process, then automobile is carried out speed limit by control gear shift function unit, master control system starts the onboard wireless warning device by the automobile control bus simultaneously, send alerting signal to car owner and public security system 110 alarm centers, provide real-time automobile position information by the vehicle GPS position fixing system;
If the navigating mate that detects is illegal, then prompting enters aid identification, under the situation that automobile does not travel, auxiliary input password is discerned, checking allows chaufeur that automobile is carried out various operations by the back, till next parking of automobile, travel once more and must input password once more or the identified person is legal driver;
If recognition of face and auxiliary password authentification are not all passed through, send alerting signal to car owner and public security system 110 alarm centers immediately;
Gather the chaufeur view data in real time by video capture device, carry out the recognition of face of a new round at set intervals, realize real-time monitoring chaufeur in the car.
2, a kind of automobile anti-theft method based on human face identification technology as claimed in claim 1 is characterized in that: described data acquisition, and use video capture device to obtain video data with infrared function.
3, a kind of automobile anti-theft method based on human face identification technology as claimed in claim 1 is characterized in that: described recognition of face comprises that pretreatment, people's face detect and three steps of recognition of face.
4, a kind of automobile anti-theft method based on human face identification technology as claimed in claim 3 is characterized in that: described pretreatment, and adopt light compensation and size method for normalizing to handle, do not do the subduction operation of background simultaneously; The light compensation method can adopt the image histogram equalization to handle.
5, a kind of automobile anti-theft method based on human face identification technology as claimed in claim 3 is characterized in that: described people's face detects, and adopts the method for complexion model to carry out the detection of people's face,
At first define normalized r-b chrominance space, the RGB of three-dimensional is reduced to two dimension, on this two dimensional surface, describe this red one blue degree distribution situation with Gauss model; Secondly, train to obtain this center of distribution; Then, obtain the similarity of itself and the colour of skin, form the similarity distribution graph of a former figure according to the distance of the pixel of being investigated from this center, again according to certain rule to this distribution graph binaryzation, with the final zone of determining the colour of skin;
After detecting colour of skin pixel, need be partitioned into possible zone according to its correlativity on similarity on the colourity and space, utilize this regional geometric properties or gray feature to carry out the checking of people's face simultaneously, to get rid of the object of the similar colour of skin of color.
6, a kind of automobile anti-theft method as claimed in claim 3 based on human face identification technology, it is characterized in that: described recognition of face, at first set up authorized person's face database, set up the corresponding relation of people's face in people's face to be detected and the data bank then, differentiate; Face recognition algorithms can adopt eigenface method, linear discriminant method or neural network algorithm.
7, as claim 3 or 6 described a kind of automobile anti-theft methods based on human face identification technology, it is characterized in that: make full use of the movable information between the consecutive frame image in the described recognition of face, after detecting people's face, by judging the size of consecutive frame image motion in the video flowing, whether the scene switching has perhaps taken place determined whether carrying out the identification of next round, only when detecting motion significantly, just carry out the recognition of face of next round, to improve the accuracy of identification, reduce because the angle of people's face and the erroneous judgement that expression shape change causes also reduce calculated amount simultaneously.
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| CN102446249A (en) * | 2010-10-15 | 2012-05-09 | 鸿富锦精密工业（深圳）有限公司 | Electronic device and method for acquiring illegal user information of same |
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Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6400835B1 (en) * | 1996-05-15 | 2002-06-04 | Jerome H. Lemelson | Taillight mounted vehicle security system employing facial recognition using a reflected image |
| CN1275185C (en) * | 2002-06-30 | 2006-09-13 | 贺贵明 | Driver's face image identification and alarm device and method |
| CN100464348C (en) * | 2002-09-18 | 2009-02-25 | 贺贵明 | Video frequency monitoring, identification intelligont device and technical method |
-
2004
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