CN102722983A - Audio and video based detection system and method for horn blowing of motor vehicle in violation of regulations - Google Patents
Audio and video based detection system and method for horn blowing of motor vehicle in violation of regulations Download PDFInfo
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Abstract
The invention discloses an audio and video based detection system and method for horn blowing of a motor vehicle in violation of regulations. The detection system comprises an audio collection unit, a video collection unit, a main control unit and a storage unit. The detection method comprises the following steps of: sampling a sound signal in a designated area; calculating an actual sound pressure level of the sound signal; if a difference between a sound pressure level of a current sampling value and the actual sound pressure level of a previous sampling value is greater than a preset value, starting to collect a video signal of the designated area and calculating the modified sound pressure level of the current sampling value; calculating a standard deviation between grid sound source sound power levels according to the modified sound pressure level; calculating a quadratic sum of a difference value between an actual time difference of a sound sensor receiving a sudden sound and a theoretic time difference of all grid point sounds transmitted to the sound sensor; and recognizing a grid position corresponding to a horn-blowing point according to the quadratic sum of the difference value and the standard deviation. The audio and video based detection system and method for horn blowing of the motor vehicle in violation of the regulations have the advantages of stronger practicability, convenience for operation and accuracy in locating and are convenient to help managers to determine a vehicle in violation of the regulations.
Description
Technical field
The present invention relates to the environment noise test field, be specifically related to a kind of motor vehicle violation ring loudspeaker detection system and method based on Voice & Video.
Background technology
Along with the development of The modern industry, environmental pollution is also along with generation, and noise pollution is a kind of of environmental pollution.According to the epidemiological study of the nearest World Health Organization (WHO) to European countries, noise pollution has become the important environmental factor that influences quality of life and health, is regarded as three main Environmental Problems in the world wide with water pollution, atmospheric pollution.Over-exposure not only can have a strong impact on mental health in noise pollution, also can increase the risk of disease such as cardiovascular.In Chinese most city, neighbourhood noise is complained and is accounted for 40%～50% of environment complaint, has occupied the first place that environment is complained, and the trend that continues increase is arranged.Point out that at European Region, disease burden degree that noise pollution cause be only second to air pollution about noise in to the report of health effect " the disease burden that noise pollution causes " at the nearest disclosed portion of the World Health Organization (WHO) and European Union joint study center.For this reason, actively adopt an effective measure and reduce or reduce noise pollution in WHO appealing countries in the world.
Noise is that the sound that sends when body is done random vibration takes place, and propagates in certain medium (like solid, liquid, gas) with the form of ripple.Generally speaking, the frequency of sound wave that people's ear can be heard is 20～20000Hz, is called audible sound; Be lower than 20Hz, be called infrasonic wave; Be higher than 20000Hz, be called ultrasound wave.
Hear the tone of sound height depend on the frequency of sound wave, high frequency sound sounds sharply, and all-bottom sound gives people's sensation comparatively dull.The size of sound is by the decision of the power of sound, and from physical viewpoint, noise is by the making a noise of various different frequencies, varying strength, irregular combining.
Judge whether a sound belongs to noise; Only judge it is not enough from the physics angle; Subjective factor is decisive role often, even with a kind of sound, when the people is in different conditions, different mood; Also can produce different subjective judgements to sound, this moment, sound possibly become noise or musical sound.From the physiology viewpoint, every interference people have a rest, the sound of study and work, and promptly unwanted sound is referred to as noise, when noise on human and surrounding environment cause harmful effect, just form noise pollution.
Since the Industrial Revolution, the creation of various plant equipment and use have brought flourishing and progress to the mankind, but have also produced more and more and more and more stronger noise simultaneously.Pollute for reducing urban environment noise, China has carried out horn-blowing control in most cities.But quick increase along with urban automobile quantity; The urban ground road is more and more crowded; Driver's ring violating the regulations loudspeaker phenomenon is still more outstanding, and surrounding resident normal life and work are seriously disturbed in local area even bounce-back to some extent; Special resident's night's rest and sleep, it is continuous always that the public requires vehicle supervision department to strengthen the cry of motor vehicle violation ring loudspeaker supervision.Owing to lack motor vehicle violation ring loudspeaker automatic checkout system and method; The traffic police can only pass through tactics of human sea, and the scene of sending someone, the outstanding highway section of ring loudspeaker violating the regulations is supervised, and investigates and prosecutes ring loudspeaker motor vehicle violating the regulations through artificial cognition; Sometimes being investigated and prosecuted the driver does not admit to break rules and regulations; Because objective evidence can't be provided, administrative authority faces the true awkward condition that but can't investigate and prosecute violating the regulations, this and effectively supervision and investigate and prosecute and form sharp contrast automatically to automobile overspeed, act of violating regulations such as make a dash across the red light.
Pertinent literature and patent retrieval show, do not see the report that motor vehicle violation ring loudspeaker automatic checkout system and method are arranged both at home and abroad.
Summary of the invention
The invention provides a kind of motor vehicle violation ring loudspeaker detection system and detection method, can realize automatic monitoring and investigation urban automobile ring violating the regulations loudspeaker based on Voice & Video.
A kind of motor vehicle violation ring loudspeaker detection system based on Voice & Video comprises:
The audio collection unit is used to gather the voice signal of appointed area;
Video acquisition unit is used to gather the vision signal of said appointed area;
Main control unit is used to receive said voice signal, when voice signal surpasses setting value, triggers said video acquisition unit, and in the collection vision signal, identifies sound source position;
Storage unit is used for receiving and store said voice signal and vision signal through said main control unit.
Said storage unit can adopt internal or external storage medium, and is connected with said main control unit through suitable interface, and main control unit can adopt single-chip microcomputer or microcomputer etc. to have the device of signal reception, processing and output function.
Said video acquisition unit can adopt digital camera video image acquisition equipment such as (or video cameras).
Said audio collection unit is a sound transducer.
The sound transducer collection generally be simulating signal; Need transfer the discernible form of main control unit to through analog to digital conversion; Therefore be provided with the sound card that is connected between said sound transducer and the said main control unit; Said sound card can play analog to digital conversion or pretreated effect, and said sound card can adopt internal or external form.
For to appointed area, many places collected sound signal, or same appointed area carried out multi-point sampling, said sound transducer is a plurality of, promptly adopts the sound transducer array format.
Work between can each unit of install software system coordination in the main control unit, said software systems are used for the automatic collection, storage, renewal of voice signal and vision signal and voice signal are handled, and identify ring loudspeaker point position.
Motor vehicle violation ring loudspeaker detection system of the present invention can be fixed on the ring horn region violating the regulations that needs monitoring, also can be installed on the flow detection car.
The sound transducer array links to each other with the sound card audio input port through signal connecting line among the present invention; As preferably, each sound transducer in the said sound transducer array linearly shape is arranged.With the perpendicular or parallel layout of car lane, can be arranged in each top, track across road, also can be installed in car lane and slow lane intersection.
In order to guarantee collection effect, sound transducer should have better weather in the said sound transducer array, and number is no less than three, is satisfying under the required clear height situation of all kinds of autos onlys, and height is advisable greater than 6m.
The resolution of said digital camera (or video camera) can link to each other through USB or other ports with microcomputer greater than 800*600; The sound card sampling resolution be 16 and more than, sampling rate 44.1k and more than; External sound card or external storage medium can the additional configuration external power supplys.Under the higher situation of CPU frequency (much larger than the sound card SF) of microcomputer, can realize the synchronized sampling of each road sound transducer through timesharing to voice signal.
The present invention also provides a kind of detection method, utilizes the Voice & Video signal of dynamically sampling and record, detects motor vehicle violation ring loudspeaker incident, identification ring violating the regulations loudspeaker vehicle position, and preserve to satisfy and put to the proof required minimum Voice & Video material.
A kind of motor vehicle violation ring loudspeaker detection method based on Voice & Video comprises the steps:
(1) in the appointed area, arrange a plurality of (generally at least two) sampled point, collected sound signal, each sampled point can be thought a sound transducer.Be generally equal interval sampling during sampling; SI is depended on the sound card SF; Because the sound transducer collection is simulating signal, so sound card is the digital signal of binary format with analog signal conversion, preserve as temporary file with the form of wave file (* .wav) together with the sampling time.
(2) utilize preset calibration value to calculate the actual sound pressure level of said voice signal.
The power of voice signal embodies through corresponding voltage value, therefore at first with said voice signal corresponding voltage value V
IjConvert objective sound pressure level p into
Ij, according to objective sound pressure level p
IjCalculate actual sound pressure level L
Ij, L
Ij=20lg (p
Ij/ p
0), p wherein
0Be reference acoustic pressure.
In each subscript, i is the numbering of the voice signal of not going the same way;
J is in the voice signal of same road, the numbering of different mining sample value;
For example the 8th voice signal magnitude of voltage in the 5 road voice signal is V
58, corresponding objective sound pressure level p
58Corresponding actual sound pressure level L
58
(3) if in the voice signal of a certain road, the difference of the actual sound pressure level that current sampled value is corresponding with a last sampled value is during greater than preset value (calling trigger condition in the following text), thinks to contain burst of sound in the current sampled value, and begins to gather the vision signal of appointed area; Simultaneously, be the benchmark sampled point with one of them sampled point, calculate that said burst of sound propagates into each sampled point and to be transmitted to real time of benchmark sampled point poor.
The L of sound transducer place, i road for example
Ij-L
I (j-1)(this preset value is adjustable according to the required degrees of sensitivity of system response for＞preset value; Generally get 8dB and above being advisable), then start video acquisition device, equal interval sampling and recording of video picture (press frame and preserve picture); Every frame image time interval＜0.1s preserves at least 3 frames continuously.
According to the microcomputer cpu clock signal, extract distance and begin to gather the vision signal place recently constantly simultaneously, and satisfy each sound transducer sampled value place, road moment t of said trigger condition
i(i=1,2 ... n; I is the numbering of the voice signal of not going the same way), here, can be with any sound transducer as the 1 the tunnel; Be the benchmark sampled point, calculate the real time difference Δ t that burst of sound (burst sound such as loudspeaker for example ring) is transmitted to each road sound transducer and the 1 road sound transducer
I-1=t
i-t
1,
t
1Propagate into the time of the 1 road sound transducer (being the benchmark sampled point) for burst of sound;
t
iPropagate into the time of each road sound transducer (being each sampled point) for burst of sound.
(4) to meeting the current sampled value of Rule of judgment in the step (3),, obtain revised sound pressure level to its actual sound pressure level background correction value,
Revised sound pressure level
(5) appointed area is divided into some grids,, utilizes gridding method to calculate the standard deviation of each net point place sound source sound power level according to said revised sound pressure level; Calculate all net point place voice signals and be transmitted to each sampled point and the theoretical mistiming that is transmitted to the benchmark sampled point.
The appointed area gridding is cut apart (being advisable), the revised sound pressure level L corresponding according to i road signal less than 1m * 1m square node
I ', burst noises such as ring loudspeaker are regarded as the point sound source at net point place sounding, by the non-directive model of radiation in the semi-free space
(r is the distance between the sensor of net point k to i road in the formula), known L
I 'Under the r situation, but Inversion Calculation net point k (k is the call number of net point, for example=1,2 ... M, wherein M is the call number maximal value) locate the point sound source sound power level
Define according to sound power level
(W
0Be reference sound power, get 10
-12W), calculate corresponding acoustical power W
Ik(i is not for going the same way the numbering of voice signal, and is general desirable 1,2 ... n, n is the maximal value of numbering), calculate each W of net point place
IkStandard deviation SD
k
After the appointed area is divided into some grids, needs to calculate all net point place voice signals and be transmitted to each sampled point and the theoretical mistiming that is transmitted to the benchmark sampled point.
For the ease of statement, below sampled point is described as the sound transducer in the practical application.
According to each net point to the sound path (being the air line distance r of net point to sound transducer) of every road sound transducer and sound velocity of propagation c (getting 340m/s) in empty sound, can calculate k net point (being any grid) and locate voice signal and be transmitted to any sound transducer required time t
Ik=r/c, (i is not for going the same way the numbering of voice signal, and promptly also corresponding sound transducer of not going the same way is general desirable 1,2 ... n, n is the maximal value of numbering).
With one of them sound transducer is reference sensor, further can calculate k net point voice signal and be transmitted to each sound transducer and the required theoretical mistiming Δ t of base sound sensor
I-1, k=t
Ik-t
1k,
t
1kIt is the time that k net point voice signal is transmitted to the 1 road sound transducer (being the benchmark sampled point);
t
IkIt is the time that k net point voice signal is transmitted to each road sound transducer (being each sampled point);
Confirmed under the situation in net point and sound transducer position, but theoretical mistiming calculated in advance and being kept in the microcomputer.
(6) real time difference corresponding and said burst of sound of the theoretical mistiming of each net point is made comparisons, the calculated difference quadratic sum is chosen squared difference and 3～5 less relatively net points; Said squared difference with
Here less relatively is meant the corresponding squared difference of 3～5 net points of selected taking-up with all little with respect to other net point, soon T
kThe corresponding net point of preceding 3～5 values is chosen in ordering from small to large.
(7) choose 3～5 less relatively net points of standard deviation of sound source sound power level described in the step (5); Get the common factor of selected net point in these net points and the step (6); By with occur simultaneously in each net point apart from the minimum principle of sum; Utilize least square method to calculate and identify the corresponding grid position of ring loudspeaker point, according to this grid position mark ring loudspeaker point position in the vision signal that said step (3) is gathered.
Standard deviation SD with said sound source sound power level
kThe corresponding net point of preceding 3～5 standard deviations is chosen in ordering from small to large, gets the common factor of the net point of confirming in these net points and the step (6).By with occur simultaneously in mesh point apart from the minimum principle of sum, utilize least square method to calculate and identify the corresponding grid position of ring loudspeaker point, in the vision signal that step (3) is gathered, mark the loudspeaker point position that rings based on this grid position.
This step computing grid apart from the time, regard a point as with grid is approximate, promptly described net point generally can utilize the central point of grid to carry out approximate treatment.
In order to reduce system burden,, comprise that also (7) preservation meets the voice signal of Rule of judgment in the step (3) as preferably.
Voice signal is preserved with the form of wave file (* .wav), and this voice signal starting point is preceding 3 seconds of the vision signal that begins to gather the appointed area; The terminal point of this voice signal is to begin to gather after the vision signal of appointed area 10 seconds; Promptly amount to 13 seconds voice signal, delete other interim * .wav files.
Whether each * .wav file of managerial personnel's playback, audiovisual exist motor vehicle ring tucket, get rid of other burst sound and trigger possibility, and confirm the vehicles peccancy number by the vision signal of correspondence, investigate and prosecute.
Motor vehicle violation ring loudspeaker detection system of the present invention and detection method have stronger practicality, and easy to operate, accurate positioning is convenient to the personnel of assisting management and is confirmed vehicles peccancy.
Description of drawings
Fig. 1 is the structured flowchart of detection system of the present invention.
Embodiment
As shown in Figure 1, the motor vehicle violation ring loudspeaker detection system that the present invention is based on Voice & Video comprises:
The audio collection unit is sound transducer, is used to gather the voice signal of appointed area;
Video acquisition unit is by digital camera (or video camera), is used to gather the vision signal of said appointed area;
Main control unit is single-chip microcomputer or microcomputer, is used to receive said voice signal, when voice signal surpasses setting value, triggers video acquisition unit (digital camera (or video camera)), and in the collection vision signal, identifies sound source position;
Storage unit is used for receiving and storing said voice signal and vision signal through main control unit, can adopt internal or external form.
Sound transducer is no less than 3, and linearly shape is arranged, and with the perpendicular or parallel layout of car lane, can be arranged in each top, track across road, also can be installed in car lane and slow lane intersection, and for satisfying the required clear height of all kinds of autos onlys, height is greater than 6m.
Because the sound transducer collection generally is simulating signal; Need transfer the discernible form of microcomputer to through analog to digital conversion, therefore be provided with the sound card that is connected between sound transducer and the microcomputer, sound transducer links to each other with the sound card audio input port through signal connecting line; The sound card audio output is connected with microcomputer; Sound card can adopt internal or external form, the sound card sampling resolution be 16 and more than, sampling rate 44.1k and more than.
Digital camera (or video camera) resolution links to each other through USB or other ports with microcomputer greater than 800*600; Under the higher situation of microcomputer CPU frequency (much larger than the sound card SF), can realize the synchronized sampling of each road sound transducer through timesharing to voice signal.
External sound card or external storage element can the additional configuration external power supplys.
The present invention utilizes the Voice & Video signal of dynamic sampling and record, detects motor vehicle violation ring loudspeaker incident, identification ring violating the regulations loudspeaker vehicle position, and preserve to satisfy and put to the proof required minimum Voice & Video material, specifically comprise the steps:
(1) sound card through linking to each other with the sound transducer array, equal interval sampling and record (SI is depended on the sound card SF) i road voice signal (i=1,2; ... n; I is not for going the same way the numbering of voice signal) in j (j=1,2 ...) and individual voice signal magnitude of voltage V
IjThe gained data were successively preserved as temporary file with wave file (* .wav) form by binary format and sampling time; Preserve the desirable i.wav of filename of i road voice signal, the sound transducer synchronized sampling voice signal and preserving under the data cases on the n road, total n temporary file.
(2) utilize preset calibration value (through calibrating device being fixed on the sound transducer of a certain road; It is 1000Hz that calibrating device produces frequency; Sound pressure level is the standard acoustic signal of 94dB, and sound pressure level 94dB is converted into acoustic pressure and is about 1.0024pa, and the voice signal magnitude of voltage that this moment, sampling obtained is V
0, 1.0024/V
0Be the calibration value of this road sound transducer), in real time with voice signal magnitude of voltage V
IjConvert objective sound pressure level p into
Ij 
According to objective sound pressure level p
IjUtilize L
Ij=20lg (p
Ij/ p
0) the real-time actual sound pressure level L of calculating sampling value
IjP wherein
0Reference acoustic pressure (gets 2 * 10
-5Pa).
(3) if one road sound transducer is arranged like the L of sound transducer place, i road
Ij-L
I (j-1)(this preset value is adjustable according to the required sensitivity of system response for＞preset value; Generally get 8dB and above being advisable, call trigger condition in the following text), think and contain burst of sound in the current sampled value; Trigger and starting digital camera (or video camera); Equal interval sampling and recording of video picture (press frame and preserve picture), every frame image time interval＜0.1s preserves at least 3 frames continuously; Simultaneously according to the microcomputer cpu clock signal, extract apart from beginning to gather the vision signal place recently and each sound transducer sampled value place, road of satisfying above-mentioned trigger condition t constantly constantly
i(i=1,2 ... n), calculate the real time difference Δ t that burst of sound (like the loudspeaker etc. that ring) is transmitted to i road sound transducer and the 1 road sound transducer
I-1(Δ t
I-1=t
i-t
1), t
1Propagate into the time of the 1 road sound transducer for burst of sound; t
iFor burst of sound propagates into time of each road sound transducer, otherwise with regard to repeating step (1) and (2).
(4) according to the sound superposition principle, utilize formula
Deduct other ground unrest values, obtain the revised sound pressure level L that sound transducer place, i road burst of sound produces
I '
(5) gridding method sound field Inversion Calculation
The monitoring ground area grid divided cut (being advisable), the revised sound pressure level L that produces according to sound transducer place, i road burst of sound (like ring loudspeaker or other burst noises) less than 1m * 1m square node
I ', burst of sound is regarded as the point sound source at net point place sounding, by the non-directive model of radiation in the semi-free space
(r is that net point k to i road transducer spacing leaves in the formula), known L
I 'Under the r situation, but Inversion Calculation net point k (k=1,2 ... M) locate the point sound source sound power level
Define according to sound power level
(W
0Be reference sound power, get 10
-12W), calculate corresponding acoustical power W
Ik(i=1,2 ... n), calculate each W of net point place
Ik(i=1,2 ... standard deviation SD n)
k
Sound path (being the air line distance r of net point to sound transducer) and sound velocity of propagation c (getting 340m/s) in empty sound according to each net point to every road sound transducer calculate k net point place burst of sound and are transmitted to i road sound transducer required time t
Ik=r/c, (i=1,2 ... n), further calculate k net point burst of sound and be transmitted to i road sound transducer and the required theoretical mistiming Δ t of the 1 road sound transducer
I-1, k=t
Ik-t
1k, wherein, t
1kIt is the time that k net point voice signal is transmitted to the 1 road sound transducer; t
IkBe the time that k net point voice signal is transmitted to each road sound transducer, confirmed under the situation Δ t at grid and sound transducer position
I-1, kBut calculated in advance also is kept in the microcomputer.
(6) according to the real time difference Δ t that provides in the step (3)
I-1And the theoretical mistiming Δ t that provides of step (5)
I-1, k, calculate the theoretical mistiming Δ t of each net point
I-1, kReal time difference Δ t with burst of sound
I-1Squared difference and T
k,
Choose squared difference and 3～5 less relatively net points, be about to T
kThe corresponding net point of preceding 3～5 values is chosen in ordering from small to large.
(7) target location identification
Standard deviation SD with said sound source sound power level
kOrdering from small to large; Choose the corresponding net point of preceding 3～5 standard deviations; Get the common factor of the net point of confirming in these net points and the step (6); By with occur simultaneously in net point apart from the minimum principle of sum, utilize least square method to calculate the grid position (calling the Target Recognition position in the following text) that identifies the burst of sound correspondence.Video image is stacked on the grid chart in proportion, classify ring loudspeaker suspicion object (because possibly be other burst noise influences) as with Target Recognition location overlap or nearest motor vehicle, and on video image, mark particular location, preserve image.
(8) dynamically delete invalid data
Keep with the nearest sound transducer record of Target Recognition position air line distance, from this trigger starting digital camera system begin preceding 3 seconds with triggered back 10 seconds, duration totally 13 seconds voice signal sample voltage value V
Ij, formally preserve with * .wav wave file form, and bind with suspicion object video sectional drawing violating the regulations, delete other interim * .wav files.(keeper can be regularly from storage medium the directly wave file and the video interception of the final identification record of copy, also possibly be provided with wired separately or wireless network periodic transmission data to administrator computer).
Whether (9) each * .wav file of keeper's playback, audiovisual exist motor vehicle ring tucket, get rid of other burst of sound and trigger possibility, and carry the finally definite vehicles peccancy number of figure by video, investigate and prosecute.
Claims (8)
1. the motor vehicle violation ring loudspeaker detection system based on Voice & Video is characterized in that, comprising:
The audio collection unit is used to gather the voice signal of appointed area;
Video acquisition unit is used to gather the vision signal of said appointed area;
Main control unit is used to receive said voice signal, when voice signal surpasses setting value, triggers said video acquisition unit, and in the collection vision signal, identifies sound source position;
Storage unit is used for receiving and store said voice signal and vision signal through said main control unit.
2. the motor vehicle violation ring loudspeaker detection system based on Voice & Video as claimed in claim 1 is characterized in that said audio collection unit is a sound transducer.
3. the motor vehicle violation ring loudspeaker detection system based on Voice & Video as claimed in claim 2 is characterized in that said sound transducer is a plurality of, adopts the sound transducer array format.
4. the motor vehicle violation ring loudspeaker detection system based on Voice & Video as claimed in claim 3 is characterized in that each sound transducer in the said sound transducer array linearly shape is arranged.
5. the motor vehicle violation ring loudspeaker detection system based on Voice & Video as claimed in claim 4 is characterized in that the sound transducer number is no less than three in the said sound transducer array.
6. the motor vehicle violation ring loudspeaker detection method based on Voice & Video is characterized in that, comprises the steps:
(1) in the appointed area, arranges a plurality of sampled points, collected sound signal;
(2) utilize preset calibration value to calculate the actual sound pressure level of said voice signal;
(3) if in the voice signal of a certain road, the difference of the actual sound pressure level that current sampled value is corresponding with a last sampled value is during greater than preset value, thinks to contain burst of sound in the current sampled value, and begins to gather the vision signal of appointed area; Simultaneously, be the benchmark sampled point with one of them sampled point, calculate that said burst of sound propagates into each sampled point and to be transmitted to real time of benchmark sampled point poor;
(4) to meeting the current sampled value of Rule of judgment in the step (3),, obtain revised sound pressure level to its actual sound pressure level background correction value;
(5) appointed area is divided into some grids,, utilizes gridding method to calculate the standard deviation of each net point place sound source sound power level according to said revised sound pressure level; Calculate all net point place voice signals and be transmitted to each sampled point and the theoretical mistiming that is transmitted to the benchmark sampled point;
(6) real time difference corresponding and said burst of sound of the theoretical mistiming of each net point is made comparisons, the calculated difference quadratic sum is chosen squared difference and 3～5 less relatively net points;
(7) choose 3～5 less relatively net points of standard deviation of sound source sound power level described in the step (5); Get the common factor of selected net point in these net points and the step (6); By with occur simultaneously in each net point apart from the minimum principle of sum; Utilize least square method to calculate and identify the corresponding grid position of ring loudspeaker point, according to this grid position mark ring loudspeaker point position in the vision signal that said step (3) is gathered.
7. the motor vehicle violation ring loudspeaker detection method based on Voice & Video as claimed in claim 6 is characterized in that, only preserves the voice signal that meets Rule of judgment in the said step (3).
8. the motor vehicle violation ring loudspeaker detection method based on Voice & Video as claimed in claim 7; It is characterized in that; Said voice signal starting point of being preserved is preceding 3 seconds of the vision signal that begins to gather the appointed area, and the terminal point of the voice signal of being preserved is to begin to gather after the vision signal of appointed area 10 seconds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210194327.8A CN102722983B (en) | 2012-06-13 | 2012-06-13 | Audio and video based detection system and method for horn blowing of motor vehicle in violation of regulations |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210194327.8A CN102722983B (en) | 2012-06-13 | 2012-06-13 | Audio and video based detection system and method for horn blowing of motor vehicle in violation of regulations |
Publications (2)
| Publication Number | Publication Date |
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| CN102722983A true CN102722983A (en) | 2012-10-10 |
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| CN105139655A (en) * | 2015-09-22 | 2015-12-09 | 福州市智聚物联科技有限公司 | Vehicle horn use control system applying new generation information technology |
| CN107328468A (en) * | 2017-08-23 | 2017-11-07 | 无锡北斗星通信息科技有限公司 | A kind of method for detecting noise vehicle |
| CN107341957A (en) * | 2017-08-17 | 2017-11-10 | 中山大学 | A kind of comprehensive acquisition of road traffic information system |
| CN109900354A (en) * | 2019-02-22 | 2019-06-18 | 长沙世邦通信技术有限公司 | A kind of whistle sound detection equipment, whistle voice recognition localization method and system |
| CN109993977A (en) * | 2017-12-29 | 2019-07-09 | 杭州海康威视数字技术股份有限公司 | Detect the method, apparatus and system of vehicle whistle |
| CN110544384A (en) * | 2019-09-28 | 2019-12-06 | 武汉飞创交通工程有限公司 | Traffic vehicle whistle sound source positioning system |
| CN110956977A (en) * | 2019-12-31 | 2020-04-03 | 青岛海之声科技有限公司 | Real-time positioning system and method for automobile whistling |
| CN111142111A (en) * | 2018-11-02 | 2020-05-12 | 广州灵派科技有限公司 | Sound source positioning video tracking system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105139655A (en) * | 2015-09-22 | 2015-12-09 | 福州市智聚物联科技有限公司 | Vehicle horn use control system applying new generation information technology |
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| CN111142111A (en) * | 2018-11-02 | 2020-05-12 | 广州灵派科技有限公司 | Sound source positioning video tracking system |
| CN109900354A (en) * | 2019-02-22 | 2019-06-18 | 长沙世邦通信技术有限公司 | A kind of whistle sound detection equipment, whistle voice recognition localization method and system |
| CN110544384A (en) * | 2019-09-28 | 2019-12-06 | 武汉飞创交通工程有限公司 | Traffic vehicle whistle sound source positioning system |
| CN110956977A (en) * | 2019-12-31 | 2020-04-03 | 青岛海之声科技有限公司 | Real-time positioning system and method for automobile whistling |
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