CN102426757A - Safety driving monitoring system based on mode identification and method thereof - Google Patents
Safety driving monitoring system based on mode identification and method thereof Download PDFInfo
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Abstract
The invention discloses a safety driving monitoring system based on mode identification and a method thereof. The system comprises: a video frame obtaining unit 1, a safety driving monitoring center unit 2 and an alarm sign determination and prompt unit 3, wherein the video frame obtaining unit 1 is a camera or special camera equipment possessing a USB interface and is used to collect a video frame of an upper position of a driver and a gesture; the safety driving monitoring center unit 2 is used to process the collected video frame of the upper position of the driver and the gesture, position and segment the driver in the video frame, determine a driving state of the driver and generate different alarm type signals according to the driving state of the driver; the alarm sign determination and prompt unit 3 is used to determine the different alarm type signals sent by the safety driving monitoring center unit 2 and emit corresponding alarm prompt information. In the invention, the method of the mode identification is fully used. A structure is simple. Realization costs are low. Simultaneously, an incidence rate of traffic accidents can be effectively reduced.
Description
Technical field
The present invention is a kind of safety driving monitoring system and method based on pattern-recognition, relates to automobile mounted equipment, Digital Image Processing and area of pattern recognition.
Background technology
Along with China's rapid economy development, the recoverable amount of automobile is also in quick increase, and traffic hazard has caused enormous economic loss and serious casualties, and wherein dangerous driving is the main cause that causes traffic hazard.
It is limited that traditional traffic administration method is driven monitoring to driver safety, therefore, is used for improving supervisory system and the method that driver safety drives and is suggested, and these system and methods all whether start with from detecting and control the driver by fatigue driving.For example, the one Chinese patent application instructions, its name is called " fatigue-driving detection technology "; Application number is 200610007961.0; It is a kind of by the automatic distance detection method of monolithic processor controlled reflection type infrared sensing that this method provides, and judges through detecting driver's head position whether the driver is in fatigue state, owing to only its head position being detected and judging; Therefore, the detection degree of accuracy is not high; The one Chinese patent application instructions, its name is called " a kind of fatigue driving method ", and application number is 200810036347.7; This method provides a kind of anti-fatigue-driving apparatus and method; Degree is closed in the frequency of wink and the switching that detect driver's eyes in real time, analysis and judgement driver's driving condition, and this method sensing range is limited; Not comprehensive to dangerous driving factor consideration, it is not high to detect degree of accuracy; The one Chinese patent application instructions, its name is called " intelligent management system of fatigue driving ", application number 200910196586.2; This invention provides a kind of combination microprocessor and intelligent management supervisory control comuter, judges the driver fatigue degree methods, introduces Wireless Telecom Equipment; GPS equipment and supervision center are reminded the driver; This method detects driver's face, and sensing range is limited, need introduce some complex apparatus simultaneously; Cost is higher, is difficult to general promotion and application.
Summary of the invention
The object of the invention provides a kind of safety driving monitoring system and method based on pattern-recognition; This method has overcome the existing safe driving factor of background technology and has considered comprehensive inadequately and the higher problem of apparatus expense; Improve the accuracy rate that detects, guaranteed the real-time that detects.
In order to achieve the above object, the technical solution adopted for the present invention to solve the technical problems is:
A kind of safety driving monitoring system based on pattern-recognition, the device of this system applies comprises frame of video acquiring unit 1, safe driving Surveillance center unit 2 warning signs are judged and Tip element 3, it is characterized in that:
Above-mentioned frame of video acquiring unit 1; This unit is a camera or a special-purpose picture pick-up device with USB interface; Be used to gather the frame of video of driver's upper body position and attitude, safe driving Surveillance center unit 2 is sent in the driver's upper body position of gathering and the frame of video of attitude;
Above-mentioned safe driving Surveillance center unit 2; Be used for the driver's upper body position of collection and the frame of video of attitude are handled; Driver in this frame of video is positioned and cuts apart; Judge driver's driving condition, produce different type of alarm signals, more different type of alarm signals is sent to warning sign and judge and Tip element 3 according to driver's driving condition;
Above-mentioned warning sign judges and Tip element 3, is used to the different type of alarm signals of judging that safe driving Surveillance center unit 2 sends, sends corresponding prompt messages.
Above-mentioned described safe driving Surveillance center unit 2 further comprises the pretreated unit 21 of frame of video, and position of driver and attitude monitoring unit 22, driver's face are towards monitoring unit 23, and driver's eyes fatigue strength monitoring unit 24 is characterized in that:
Above-mentioned frame of video pretreatment unit 21 is used for the frame of video of gathering is carried out illumination equilibrium and denoising;
Above-mentioned position of driver and attitude monitoring unit 22; The driver locatees above the waist, cuts apart and judges whether the position of driver attitude is correct in the frame of video after utilizing rim detection and Gaussian Background modeling technique to noise reduction; Produce the respective type alerting signal of driver's steering position and attitude, and this respective type alerting signal is delivered to warning sign judgement and Tip element 3 or driver's face towards monitoring unit 23;
Above-mentioned driver's face is towards monitoring unit 23; Be used to locate driver's face; And monitoring and judge the correct of driver's face towards whether; Produce driver's face towards the respective type alerting signal, this respective type alerting signal is sent to warning sign judges and Tip element 3 or driver's eyes fatigue strength monitoring unit 24;
Above-mentioned driver's eyes fatigue strength monitoring unit 24; Be used for the location and follow the tracks of driver's eyes; And monitoring and judgement driver's eyes degree of fatigue; Produce the respective type alerting signal of driver's eyes degree of fatigue, and this respective type alerting signal is sent to warning sign judgement and Tip element 3 or frame of video acquiring unit 1.
Above-mentioned described warning sign judges and Tip element 3 further comprises audible alarm Tip element 31, captions alarm LED unit 32, it is characterized in that:
Tut alarm unit 31 is used to realize the auditory tone cues of warning message;
Above-mentioned captions alarm LED unit 32 is used to realize that the captions of warning message show and light prompt.
A kind of safe driving method for supervising based on pattern-recognition, the device that this method is used comprises frame of video acquiring unit 1, safe driving Surveillance center unit 2, warning sign judges and Tip element 3 that this method may further comprise the steps:
1, utilizes camera or special-purpose picture pick-up device, gather driver upper body position and attitude frame of video, step 2 is delivered in this collection driver's the upper body position and the frame of video of attitude with USB interface;
2, pre-service is carried out in the driver's upper body position of above-mentioned collection and the frame of video of attitude; Driver in the frame of video is positioned and cuts apart; Judge driver's driving condition, produce different type of alarm signals according to driver's driving condition, its concrete steps are following:
21, frame of video illumination equalization step is utilized the illumination compensation technology based on wavelet analysis, and the frame of video of gathering is carried out the illumination equilibrium;
22, frame of video denoising step is utilized the filtering technique of Digital Image Processing etc., and frame of video is carried out denoising;
23, the driver locatees segmentation procedure, and the frame of video driver after utilizing rim detection and Gaussian Background modeling technique to noise reduction locatees above the waist and cuts apart;
24, driver's body position attitude monitoring step utilizes active shape model and Fourier descriptor to obtain driver's profile above the waist;
25, the whether correct determining step of position and attitude; The position of driver that obtains and profile information and normal driving position and attitude profile are compared; Judge whether position of driver and attitude be correct, if position of driver or attitude are incorrect, then sending position of driver or attitude is incorrect type of alarm signal; And change step 31 over to, otherwise get into step 26;
26, people's face location and segmentation procedure, microprocessor chip are utilized gauss hybrid models and skin color detection method that driver's face is positioned and are cut apart;
27, people's face is towards monitoring step, and microprocessor chip utilizes feature extracting method that driver's face is carried out feature extraction;
28, the correct determining step towards whether; The method that microprocessor chip utilizes neural network and template matches with the driver's face that obtains towards characteristic information and normal person's face mate towards characteristic information, confirm people's face towards, judge that driver's face is correct towards whether; If driver's face is towards being incorrect; Then send driver's face towards being incorrect type of alarm signal, and change step 31 over to, otherwise change step 29 over to;
29, eye location and tracking step, microprocessor chip utilize kalman wave filter and improved average drifting model that driver's eye is positioned and follows the tracks of, and guarantee correct detection and tracking to driver's eyes;
210, eye fatigue degree monitoring step, microprocessor chip carries out rim detection and length and width information extraction to the driver's eyes that traces into, and calculates the approximate area of eyes;
211, eye fatigue degree determining step; Microprocessor chip utilizes the P80 standard of popular perclos that the eye fatigue degree is calculated; Judge whether the driver is in fatigue driving state, if the driver is in fatigue driving state, then sending the driver is the type of alarm signal that is in fatigue driving state; And get into step 31, carry out otherwise change step 1 over to;
3, warning mark is judged and the prompting step, and the type of alarm signal that is used for the safe driving monitoring step is sent is classified, and sends corresponding prompt messages, comprises audible alarm prompting and captions alarm;
31, warning sign classifying step, microprocessor chip are judged the type of alarm signal receive, and the warning message of corresponding types is sent to step 32;
32, safety alarm prompting step; Warning sign is judged and Tip element 3 produces corresponding auditory tone cues of reporting to the police and the prompting of LED captions; Reach the safe driving prompting purpose, the driver can manually be interrupted the warning message of alarm, and this monitoring system changes next round safe driving monitoring over to; Perhaps stop and have a rest, close detectors.
Enforcement of the present invention has following beneficial effect: the present invention proposes a kind of safety driving monitoring system and method based on pattern-recognition; It relies on frame of video acquiring unit, safe driving Surveillance center unit and warning mark to judge Tip element; Through the camera that utilizes the frame of video acquiring unit gather in real time driver's body position, attitude, face towards and eye information; Judge the current safe driving state that whether is in of driver; With different levels monitoring and determination strategy are adopted in this invention, have considered the driver-operated safety factor comprehensively, can effectively reduce the generation of traffic hazard; The monitoring system that the present invention adopts is simple in structure, has advantage with low cost.
Description of drawings
Fig. 1 is the structural representation of the safety driving monitoring system based on pattern-recognition of the present invention;
Fig. 2 is the process flow diagram of the safe driving method for supervising based on pattern-recognition of the present invention.
Embodiment
Below in conjunction with accompanying drawing embodiments of the invention are done further to describe in detail.
As shown in Figure 1, the safety driving monitoring system based on pattern-recognition of the present invention, this system comprises frame of video acquiring unit 1, safe driving Surveillance center unit 2 warning signs are judged and Tip element 3, it is characterized in that:
Above-mentioned frame of video acquiring unit 1; This unit is a camera or a special-purpose picture pick-up device with USB interface; Be used to gather the frame of video of driver's upper body position and attitude, safe driving Surveillance center unit 2 is sent in the driver's upper body position of this collection and the frame of video of attitude;
Above-mentioned safe driving Surveillance center unit 2; Be used for the driver's upper body position of collection and the frame of video of attitude are handled; Driver in this frame of video is positioned and cuts apart; Judge driver's driving condition, produce different type of alarm signals, more different type of alarm signals is sent to warning sign and judge and Tip element 3 according to driver's driving condition;
Above-mentioned warning sign judges and Tip element 3, is used to the dissimilar alerting signal of judging that safe driving Surveillance center unit 2 sends, sends corresponding prompt messages.
Above-mentioned described safe driving Surveillance center unit 2 comprises that further frame of video carries out pretreatment unit 21, and position of driver and attitude monitoring unit 22, driver's face are towards monitoring unit 23, and driver's eyes fatigue strength monitoring unit 24 is characterized in that:
Above-mentioned frame of video pretreatment unit 21 is used for the frame of video of gathering is carried out illumination equilibrium and denoising;
Above-mentioned position of driver and attitude monitoring unit 22; The driver locatees above the waist, cuts apart and judges whether driver's steering position and attitude be correct in the frame of video after utilizing rim detection and Gaussian Background modeling technique to noise reduction; Produce the respective type alerting signal of driver's steering position and attitude, and this respective type alerting signal is delivered to warning sign judgement and Tip element 3 or driver people's face towards monitoring unit 23;
Above-mentioned driver people's face is towards monitoring unit 23; Be used to locate driver's face; And monitoring and judge the correct of driver's face towards whether; Produce driver's face towards the respective type alerting signal, and this respective type alerting signal is delivered to warning sign judges and Tip element 3 or driver's eyes fatigue strength monitoring unit 24;
Above-mentioned driver's eyes fatigue strength monitoring unit 24; Be used for the location and follow the tracks of driver's eyes; And monitoring and judgement driver's eyes degree of fatigue; Produce the respective type alerting signal of driver's eyes degree of fatigue, and this respective type alerting signal is delivered to warning sign judge and Tip element 3 or frame of video acquiring unit 1.
Above-mentioned described warning sign judges and Tip element 3 further comprises audible alarm Tip element 31, captions alarm LED unit 32, it is characterized in that:
Tut alarm unit 31 is used to realize the auditory tone cues of warning message;
Above-mentioned captions alarm LED unit 32 is used to realize that the captions of warning message show and light prompt.
As shown in Figure 2, based on the safe driving method for supervising of pattern-recognition, this method is used said system, comprises frame of video acquiring unit 1, safe driving Surveillance center unit 2, and warning sign judges and Tip element 3 that its step is following:
1, utilizes camera or special-purpose picture pick-up device, gather driver upper body position and attitude frame of video, step 2 is delivered in this collection driver's the upper body position and the frame of video of attitude with USB interface;
2, pre-service is carried out in the driver's upper body position of above-mentioned collection and the frame of video of attitude; Driver in the frame of video is positioned and cuts apart; Judge driver's driving condition, send different type of alarm signals according to driver's driving condition, its concrete steps are following:
21, frame of video illumination equalization step is utilized the illumination compensation technology based on wavelet analysis, and the frame of video of gathering is carried out the illumination equilibrium;
22, frame of video denoising step is utilized the filtering technique of Digital Image Processing etc., and frame of video is carried out denoising;
23, the driver locatees segmentation procedure, and the frame of video driver after utilizing rim detection and Gaussian Background modeling technique to noise reduction locatees above the waist and cuts apart;
24, driver's body position attitude monitoring step utilizes active shape model and Fourier descriptor to obtain driver's profile above the waist;
25, the whether correct determining step of position and attitude; The position of driver that obtains and profile information and normal driving position and attitude profile are compared; Whether position and the attitude of judging the driver be correct, if position of driver or attitude are incorrect, then sends the incorrect type of alarm signal of position of driver or attitude; And change step 31 over to, otherwise get into step 26;
26, people's face location and segmentation procedure, microprocessor chip are utilized gauss hybrid models and skin color detection method that driver's face is positioned and are cut apart;
27, people's face is towards monitoring step, and microprocessor chip utilizes feature extracting method that driver's face is carried out feature extraction;
28, the correct determining step towards whether; The method that microprocessor chip utilizes neural network and template matches with the driver's face that obtains towards characteristic information and normal person's face mate towards characteristic information, confirm people's face towards, judge that driver's face is correct towards whether; If driver's face is towards being incorrect; Then send driver's face towards incorrect type of alarm signal, and change step 31 over to, otherwise change step 29 over to;
29, eye location and tracking step, microprocessor chip utilizes the kalman wave filter, and improved average drifting model positions and follows the tracks of driver's eye, guarantees correct detection and tracking to driver's eyes;
210, eye fatigue degree monitoring step, microprocessor chip carries out rim detection and length and width information extraction to the driver's eyes that traces into, and calculates the approximate area of eyes;
211, eye fatigue degree determining step; Microprocessor chip utilizes the P80 standard of popular perclos that the eye fatigue degree is calculated; Judge whether the driver is in fatigue driving state, if the driver is in fatigue driving state, then sending the driver is the type of alarm signal that is in fatigue driving state; And get into step 31, carry out otherwise change step 1 over to;
3, warning mark is judged and the prompting step, and the type of alarm signal that is used for the safe driving monitoring step is sent is classified, and sends corresponding prompt messages, comprises audible alarm prompting and captions alarm;
31, warning sign classifying step, microprocessor chip are judged the type of alarm signal receive, and the warning message of corresponding types is sent to step 32;
32, safety alarm prompting step; Warning sign is judged and Tip element 3 produces corresponding auditory tone cues of reporting to the police and the prompting of LED captions; Reach the safe driving prompting purpose, the driver can manually be interrupted the warning message of alarm, and this monitoring system changes next round safe driving monitoring over to; Perhaps stop and have a rest, close detectors.
The above is merely preferred embodiments of the present invention, not in order to restriction the present invention, all in spirit of the present invention and principle, do any modification, be equal to and replace or improvement etc., all should still belong in the scope that patent of the present invention contains.
Claims (4)
1. safety driving monitoring system based on pattern-recognition; The device of this system applies comprises frame of video acquiring unit (1); Safe driving Surveillance center unit (2) warning sign is judged and Tip element (3); It is characterized in that: above-mentioned frame of video acquiring unit (1); This unit is a camera or a special-purpose picture pick-up device with USB interface, is used to gather the frame of video of driver's upper body position and attitude, and safe driving Surveillance center unit (2) is sent in the driver's upper body position of gathering and the frame of video of attitude; Above-mentioned safe driving Surveillance center unit (2); Be used for the driver's upper body position of collection and the frame of video of attitude are handled; Driver in this frame of video is positioned and cuts apart; Judge driver's driving condition, produce different type of alarm signals, more different type of alarm signals is sent to warning sign and judge and Tip element (3) according to driver's driving condition; Above-mentioned warning sign judges and Tip element (3), is used to the different type of alarm signals of judging that safe driving Surveillance center unit (2) sends, sends corresponding prompt messages.
2. the safety driving monitoring system based on pattern-recognition according to claim 1; It is characterized in that: above-mentioned described safe driving Surveillance center unit (2) further comprises the pretreated unit of frame of video (21); Position of driver and attitude monitoring unit (22); Driver's face is towards monitoring unit (23), and driver's eyes fatigue strength monitoring unit (24) is characterized in that:
Above-mentioned frame of video pretreatment unit (21) is used for the frame of video of gathering is carried out illumination equilibrium and denoising;
Above-mentioned position of driver and attitude monitoring unit (22); The driver locatees above the waist, cuts apart and judges whether the position of driver attitude is correct in the frame of video after utilizing rim detection and Gaussian Background modeling technique to noise reduction; Produce the respective type alerting signal of driver's steering position and attitude, and this respective type alerting signal is delivered to warning sign judgement and Tip element (3) or driver's face towards monitoring unit (23);
Above-mentioned driver's face is towards monitoring unit (23); Be used to locate driver's face; And monitoring and judge the correct of driver's face towards whether; Produce driver's face towards the respective type alerting signal, and this respective type alerting signal sent to warning sign judge and Tip element (3) or driver's eyes fatigue strength monitoring unit (24);
Above-mentioned driver's eyes fatigue strength monitoring unit (24); Be used for the location and follow the tracks of driver's eyes; And monitoring and judgement driver's eyes degree of fatigue; Produce the respective type alerting signal of driver's eyes degree of fatigue, and this respective type alerting signal is sent to warning sign judgement and Tip element (3) or frame of video acquiring unit (1).
3. the safety driving monitoring system based on pattern-recognition according to claim 2; It is characterized in that: above-mentioned described warning sign judges and Tip element (3) further comprises audible alarm Tip element (31), captions alarm LED unit (32); It is characterized in that: tut alarm unit (31) is used to realize the auditory tone cues of warning message; Above-mentioned captions alarm LED unit (32) is used to realize that the captions of warning message show and light prompt.
4. safe driving method for supervising based on pattern-recognition, the device that this method is used comprises frame of video acquiring unit (1), safe driving Surveillance center unit (2), warning sign is judged and Tip element (3), it is characterized in that this method may further comprise the steps:
1, utilizes camera or special-purpose picture pick-up device, gather driver upper body position and attitude frame of video, step 2 is delivered in this collection driver's the upper body position and the frame of video of attitude with USB interface;
2, pre-service is carried out in the driver's upper body position of above-mentioned collection and the frame of video of attitude; Driver in the frame of video is positioned and cuts apart; Judge driver's driving condition, send different type of alarm signals according to driver's driving condition, its concrete steps are following:
21, frame of video illumination equalization step is utilized the illumination compensation technology based on wavelet analysis, and the frame of video of gathering is carried out the illumination equilibrium;
22, frame of video denoising step is utilized the filtering technique of Digital Image Processing etc., and frame of video is carried out denoising;
23, the driver locatees segmentation procedure, and the frame of video driver after utilizing rim detection and Gaussian Background modeling technique to noise reduction locatees above the waist and cuts apart;
24, driver's body position attitude monitoring step utilizes active shape model and Fourier descriptor to obtain driver's profile above the waist;
25, the whether correct determining step of position and attitude; The position of driver that obtains and profile information and normal driving position and attitude profile are compared; Judge whether position of driver and attitude be correct, if position of driver or attitude are incorrect, then sending position of driver or attitude is incorrect type of alarm signal; And change step 31 over to, otherwise get into step 26;
26, people's face location and segmentation procedure, microprocessor chip are utilized gauss hybrid models and skin color detection method that driver's face is positioned and are cut apart;
27, people's face is towards monitoring step, and microprocessor chip utilizes feature extracting method that driver's face is carried out feature extraction;
28, the correct determining step towards whether; The method that microprocessor chip utilizes neural network and template matches with the driver's face that obtains towards characteristic information and normal person's face mate towards characteristic information, confirm people's face towards, judge that driver's face is correct towards whether; If driver's face is towards being incorrect; Then send driver's face towards being incorrect type of alarm signal, and change step 31 over to, otherwise change step 29 over to;
29, eye location and tracking step, microprocessor chip utilize kalman wave filter and improved average drifting model that driver's eye is positioned and follows the tracks of, and guarantee correct detection and tracking to driver's eyes;
210, eye fatigue degree monitoring step, microprocessor chip carries out rim detection and length and width information extraction to the driver's eyes that traces into, and calculates the approximate area of eyes;
211, eye fatigue degree determining step; Microprocessor chip utilizes the P80 standard of popular perclos that the eye fatigue degree is calculated; Judge whether the driver is in fatigue driving state, if the driver is in fatigue driving state, then sending the driver is the type of alarm signal that is in fatigue driving state; And get into step 31, carry out otherwise change step 1 over to;
3, warning mark is judged and the prompting step, and the type of alarm signal that is used for the safe driving monitoring step is sent is classified, and sends corresponding prompt messages, comprises audible alarm prompting and captions alarm;
31, warning sign classifying step, microprocessor chip are judged the type of alarm signal receive, and the warning message of corresponding types is sent to step 32;
32, safety alarm prompting step; Warning sign is judged and Tip element 3 produces corresponding auditory tone cues of reporting to the police and the prompting of LED captions; Reach the safe driving prompting purpose, the driver can manually be interrupted the warning message of alarm, and this monitoring system changes next round safe driving monitoring over to; Perhaps stop and have a rest, close detectors.
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