KR101745551B1 - Apparatus and method for monitoring overspeed-vehicle using CCTV image information - Google Patents

Abstract

The present invention controls a speeding vehicle using a CCTV (security camera) operated by a municipality, and uses a vehicle number recognition function to transmit a video image of a speeding vehicle, digitally changed vehicle number data, and vehicle speed data to a relevant authority The present invention relates to an overspeed vehicle monitoring apparatus and method using CCTV image information provided to at least two or more cameras, a video camera for capturing an object to be monitored, a power supply unit for supplying electric power, An intelligent image analyzing unit for setting a virtual line, calculating a vehicle speed based on two virtual line travel times, and detecting a vehicle number from a photographed image when the calculated vehicle speed exceeds a preset reference speed; The vehicle speed and the vehicle number analyzed by the analysis unit are textized, and the image of the captured vehicle And a communication processing unit for converting the transmission image generated by the matching processing unit to digital and delivering the converted image to a related organization through a wired / wireless network.

Description

Technical Field [0001] The present invention relates to an overspeed vehicle monitoring apparatus using CCTV image information,

The present invention relates to an overspeed vehicle monitoring apparatus and method using CCTV image information. More particularly, the present invention relates to an apparatus for monitoring an overspeed vehicle using a CCTV (security camera) operating in a municipality, The present invention relates to an overspeed vehicle monitoring apparatus and method using CCTV image information, which provides images, digitally changed vehicle number data, and vehicle speed data to a relevant authority (police agency).

Closed Circuit Television (hereinafter referred to as CCTV) is a television transmission system intended to serve only specific receivers, and uses a wired or special wireless transmission path from the transmitting side to the receiving side, It is used throughout the industry, such as industry, education, medical and local information services, and is sometimes referred to as industrial television (ITV) or dedicated television.

Unmanned surveillance system using CCTV is used in many fields and it is used for surveillance in many places from public facilities such as department stores and large shopping malls to factories and large warehouses.

Recently, CCTV cameras have been installed on subways and railway lines, and the images obtained from the central command room or the station have been checked by the workers in the subway station or the station. It is also used to monitor the safety of subway passengers.

1 is a block diagram of an unattended monitoring apparatus using conventional CCTV image information.

1, the unmanned monitoring device includes a video camera 10 for capturing an object to be monitored, a monitor 20 for displaying an image captured by the video camera 10, An image processor 30 for performing image processing of the photographed image and transferring the photographed image to the monitor 20, and a power supply unit 40 for supplying power to the devices.

However, since the surveillance system described above is used for surveillance through the photographed image, when the surveillance vehicle is monitored on the expressway or the national road, the surveillance system uses the photographed image information. However, in the case of speeding- The speed of the vehicle traveling on the road is measured by a laser emission measuring device or a ground sensor installed at a certain distance on the road together with the video camera 10, and when the speed is measured by overspeed, .

As described above, in order to intermittently control the speeding vehicle, a video camera 10 and a separate measurement sensor must be additionally provided, so that additional installation costs are required for installation, which requires a high budget. Particularly in the case of a ground sensor There is a problem that not only a cost loss but also a human loss is generated because repair work is required from time to time due to a short life due to impact with vehicles.

Registered Patent No. 10-1422205 (Registration date 2014.07.16) Patent Registration No. 10-0695348 (Registration date 2007.03.08)

SUMMARY OF THE INVENTION Accordingly, the present invention has been made in an effort to solve the above-mentioned problems, and it is an object of the present invention to provide a method and apparatus for controlling a speeding vehicle using a CCTV (security camera) And an object of the present invention is to provide an overspeed vehicle monitoring apparatus using the CCTV image information, which provides the changed vehicle number data and the vehicle speed data to the relevant authorities (police agencies) and the like.

Other objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

According to another aspect of the present invention, there is provided an overspeed vehicle monitoring apparatus using CCTV image information, comprising: a video camera for capturing an object to be monitored; a power source for supplying power; An intelligent image analyzing unit for calculating a vehicle speed based on the two virtual line travel times and detecting the vehicle number from the photographed image when the calculated vehicle speed exceeds a predetermined reference speed; A matching processor for textualizing the vehicle speed and the vehicle number analyzed by the intelligent image analyzing unit and matching the captured image with the image of the vehicle to generate a transmission image; And a communication processing unit for transmitting the information to a related organization through a wire / wireless network.

Preferably, the intelligent image analysis unit includes an object recognition unit that recognizes an area of a license plate and a front bumper area of a front surface of a vehicle in an image captured by a video camera, A virtual line setting unit configured to set at least two virtual lines spaced apart from each other by a predetermined distance from the virtual line setting unit; A speed analyzer for calculating a vehicle speed on the basis of a time difference in which two virtual lines are divided by dividing a time when the second virtual line is invaded into a distance and a time unit; An event generating unit for generating an event indicating an overspeed occurrence exceeding a reference speed, A vehicle number recognizing unit for recognizing the vehicle number by comparing the extracted license plate with the training data after extracting and separating the license plate using the license plate area of the vehicle recognized by the object recognition unit, And an analysis information output unit for outputting the calculated vehicle speed and the information data of the recognized vehicle number and the photographed vehicle image by designating one common number.

Preferably, the vehicle speed data, the vehicle number data, and the vehicle image each include a common number and a different unique number together.

According to another aspect of the present invention, there is provided a method for monitoring an overspeed vehicle using CCTV image information, the method comprising the steps of: (A) inputting an image of a surveillance region photographed by a video camera; and (B) At least two virtual lines are set in the input image, the vehicle speed is calculated based on the two virtual line travel times, and when the calculated vehicle speed exceeds a predetermined reference speed, the vehicle number is detected from the photographed image (C) textualizing the detected vehicle speed and vehicle number through a matching processing unit and matching the captured image with the image of the vehicle, thereby generating a transmission image; (D) Converting the generated transmission image into digital data, and transmitting the converted digital image to a related organization through a wire / wireless network.

Preferably, the transmission image is generated in a combination of a vehicle speed, a vehicle number, and a vehicle image.

Preferably, the step (C) includes the steps of: detecting vehicle speed data, vehicle number data and the vehicle image having one common number; and detecting the vehicle speed data, vehicle number data, A vehicle number data, and a vehicle image at a specific position of a transmission image form set in advance for each unique number based on the detected unique number, respectively, to generate a transmission image The method comprising the steps of:

Preferably, the step (B) includes the steps of: (B1) objectizing the area of the license plate and the front bumper area of the front face of the vehicle from the image input from the video camera 100 through the object recognizing part; (B2) Setting at least two virtual lines spaced apart from each other by a predetermined distance in a direction intersecting the moving direction of the vehicle on the input image; and (B3) determining, through the speed analyzer, Calculating a vehicle speed on the basis of a time difference in which two virtual lines are infiltrated by dividing a time when a first virtual line is invaded and a time when a second virtual line is invaded by a distance and a time unit; Comparing the calculated vehicle speed with a predetermined reference speed; and (B5) if the vehicle speed exceeds the reference speed as a result of the comparison, Extracting and extracting a license plate using an area of the vehicle license plate, recognizing the vehicle number through comparison with the learned training data, and (B6) analyzing the calculated vehicle speed and the recognized vehicle Number information data and the photographed vehicle image as one common number and outputting the same to the next stage.

"를 이용하여 차량속도를 산출하는 단계를 포함하여 이루어지는 것을 특징으로 한다.Preferably, the step (B3) includes the steps of: receiving a measured distance measured between the virtual lines 1 and 2 generated randomly on the image through the virtual line setting unit; Calculating a virtual line intrusion time difference (virtual line 1 intrusion time-virtual line 2 intrusion time) from touching virtual line 1 to touching second virtual line 2; Distance and virtual line invasion time difference of the calculated vehicle is expressed by the following equation "

Quot ;, and calculating the vehicle speed using the "vehicle speed ".

각도를 가진 지점에 설정하고, 가상라인2는 비디오카메라에서 상기

각도보다 큰

각도를 가진 지점에 설정하는 단계와, 비디오카메라의 설치 높이(h)와 각각 설정된 각도(

,

)를 통해서 가상라인1과 가상라인2의 거리(c)를 삼각비 활용 방정식을 이용하여 다음 수식

를 이용하여 계산하는 단계와, 차량의 앞 범퍼가 첫 번째 가상라인1에 닿는 것을 시작으로 두 번째 가상라인2에 닿는 것까지의 가상라인 침입 시간차(가상라인1 침입시간 - 가상라인2 침입시간)를 산출하는 단계와, 상기 확인된 가상라인1, 2간의 거리 및 산출된 차량의 가상라인 침입 시간차를 다음 수식 "

"를 이용하여 차량속도를 산출하는 단계를 포함하여 이루어지는 것을 특징으로 한다.Preferably, in the step (B3), the virtual line 1 is determined based on the installation height (h) of the video camera, which is previously measured and defined through the virtual line setting unit,

And the virtual line 2 is set at a point having an angle,

Greater than angle

(H) of the video camera and a set angle

,

), The distance (c) between the virtual line 1 and the virtual line 2 is calculated using the following equation

(Virtual line 1 penetration time-virtual line 2 penetration time) from the front bumper of the vehicle reaching the first virtual line 1 until reaching the second virtual line 2, Calculating a distance between the identified virtual lines 1 and 2 and a virtual line invasion time difference of the calculated vehicle according to the following equation:

Quot ;, and calculating the vehicle speed using the "vehicle speed ".

는 45°이고, 상기

는 60°인 것을 특징으로 한다.Preferably,

Is 45 degrees,

Is 60 DEG.

As described above, the overspeed vehicle monitoring apparatus and method using the CCTV image information according to the present invention have the following effects.

First, by using the already constructed CCTV camera, it is not necessary to additionally install additional sensor to measure the speed of the moving vehicle, so that it is possible to prevent cost and human loss, thereby reducing the budget .

Second, as the speeding up of the children 's safety zone using the CCTV camera has been done. It is possible to expect a reduction effect of a child traffic accident.

Third, it is possible to increase the function as city control tower of the control center through the interworking of the local government and the police office.

Fourth, it is possible to cooperate with the municipalities in the local speeding regime administration which was not carried out due to lack of budget of the NPA.

1 is a block diagram of an unattended monitoring apparatus using conventional CCTV image information
2 is a block diagram illustrating a configuration of an overspeed vehicle monitoring apparatus using CCTV image information according to an embodiment of the present invention.
FIG. 3 is a block diagram showing a detailed configuration of the intelligent image analysis unit in FIG.
4 is a block diagram illustrating an example of a transmission image generated by the matching processing unit 600
5 shows an example of the virtual line 521 set by the virtual line setting unit 520
6 is a flowchart for explaining an overspeed vehicle monitoring method using CCTV image information according to an embodiment of the present invention.
7 is a flow chart for explaining step S200 in detail.
Fig. 8A and Fig. 8B show a preferred embodiment for calculating the vehicle speed calculation method in Fig. 7

Other objects, features and advantages of the present invention will become apparent from the detailed description of the embodiments with reference to the accompanying drawings.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of an overspeed vehicle monitoring apparatus and method using CCTV image information according to the present invention will now be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. It is provided to let you know. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.

2 is a block diagram illustrating a configuration of an overspeed vehicle monitoring apparatus using CCTV image information according to an exemplary embodiment of the present invention.

2, the overspeed vehicle monitoring apparatus includes a video camera 100 that photographs an object to be monitored, a monitor 200 that displays an image photographed by the video camera 100, An image processor 300 for processing an image photographed by the video camera 300 and transmitting the processed image to the monitor 200, a power source 400 for supplying power to the devices 100, 200 and 300, At least two or more virtual lines 521 are set in an image photographed by the image pickup device 100 and the vehicle speed is calculated on the basis of the two virtual line travel times. When the calculated vehicle speed exceeds a preset reference speed, An intelligent image analyzing unit 500 for detecting a vehicle number in the intelligent image analyzing unit 500, a vehicle speed and a vehicle number analyzed in the intelligent image analyzing unit 500, And a communication processing unit 700 for converting the transmission image generated in the matching processing unit 600 to digital and delivering it to a related institution (municipality, police agency, etc.) via wired / wireless network.

4 illustrates an example of a transmission image generated by the matching processing unit 600. Referring to FIG.

3, the intelligent image analyzing unit 500 includes an object recognizing unit 510 for recognizing an area of a license plate and a front bumper area of a front surface of a vehicle from an image photographed by the video camera 100, And a virtual line setting 523 for setting at least two virtual lines 521 spaced apart from each other by a predetermined distance in a direction intersecting the moving direction of the vehicle on the image photographed by the video camera 100 as shown in FIG. And a front bumper on the front of the vehicle recognized by the object recognition unit 510 detects a time when a first virtual line among virtual lines set in the virtual line setting unit 520 is invaded, A speed analyzer 530 for calculating a vehicle speed on the basis of a time difference in which two virtual lines are divided by dividing one point by a distance and a time unit; And an overspeed event generating unit 540 for generating an event indicating an overspeed occurrence exceeding a predetermined reference speed when the overspeed event is generated in the event generating unit 540; A vehicle number recognizing unit 550 for recognizing the vehicle number through comparison with the learned training data by extracting and separating the license plate using the vehicle license plate area of the vehicle, And an analysis information output unit 560 for outputting the captured vehicle images by designating one common number.

5 is a view showing the virtual line 521 set by the virtual line setting unit 520. In FIG.

Meanwhile, the vehicle speed data, the car number data, and the vehicle image each include a common number and a different unique number, so that when the transmission image is generated in the matching processing unit 600, each unique number is used So as to generate a transmission image having a uniform information arrangement.

The operation of the overspeed vehicle monitoring apparatus using the CCTV image information according to the present invention will now be described in detail with reference to the accompanying drawings. 2 or 3 denote the same members performing the same function.

6 is a flowchart illustrating an overspeed vehicle monitoring method using CCTV image information according to an embodiment of the present invention.

Referring to FIG. 6, first, an image of a surveillance region photographed by the video camera 100 is input (S100).

Then, the intelligent image analysis unit 500 sets at least two or more virtual lines 521 in the input image, calculates the vehicle speed based on the two virtual line travel times, and outputs the calculated vehicle speed to a predetermined reference If the speed is exceeded, the vehicle number is detected from the photographed image (S200).

At this time, the detailed description of step S200 will be described in more detail below with reference to FIG.

Next, the detected vehicle speed and vehicle number are textized through the matching processing unit 600, and a transmission image is generated by matching the detected vehicle speed and the vehicle number with the captured image of the corresponding vehicle (S300).

At this time, the transmission image is generated as a combination of the vehicle speed, the vehicle number, and the vehicle image, as shown in FIG. The vehicle speed data, the vehicle number data, and the vehicle image are set to one common number and include different unique numbers. When the transmission image is generated in the matching processing unit 600, It is possible to generate a transmission image having a uniform information arrangement by using the unique number of the transmission information.

Accordingly, the matching processing unit 600 may include detecting vehicle speed data, vehicle number data, and the vehicle image having one common number, and detecting the vehicle speed data, the vehicle number data, A step of detecting a unique number, and a step of arranging each of the vehicle speed data, the car number data and the car image to be located at a specific position of the transfer image type previously set for each unique number based on the detected unique number Create an image.

The generated transmission image is converted into digital data through the communication processing unit 700 and transmitted to a related institution (municipality, police agency, etc.) via a wire / wireless network (S400). Then, the related organization performs the overspeed enforcement process such as issuing a speeding violation sticker through the transmitted image.

Meanwhile, the configuration and method according to the present invention may also function as overspeed intermittent control, but accumulate the vehicle number DB of the road traffic using the function of recognizing the vehicle number, so as to track the movement path of the problem vehicle, It is possible.

FIG. 7 is a flowchart for explaining step S200 in detail. Referring to FIG.

First, the area of the license plate and the front bumper area of the front of the vehicle are objectified in the image input from the video camera 100 through the object recognition unit 510 (S210).

Also, at least two virtual lines 521 spaced apart from each other by a predetermined distance are set on the input image through the virtual line setting unit 520 (S220).

Then, the front bumper of the front surface of the vehicle is divided into the time of the first virtual line and the time of the second virtual line, The vehicle speed is calculated on the basis of the time difference that the virtual line 521 has inflicted (S230).

At this time, the calculation of the vehicle speed using the two virtual lines 521 can be performed by applying the following two methods.

As a first method of calculating the vehicle speed, the distance between virtual lines 1 and 2 (A) and (B) arbitrarily spaced on the image through the virtual line setting unit 520, as shown in FIG. 8A, The measured distance measured by the spot is checked and input. At this time, the distance between the virtual lines 1 and 2 (A) and (B) is preferably about 20 to 30 m based on the current unmanned camera sensor distance.

Then, the virtual line invasion time difference (virtual line 1 penetration time-virtual line 2 penetration time) from the front bumper of the vehicle to the first virtual line 1 (A) to the second virtual line 2 (B) . At this time, the virtual line invasion time of the vehicle is based on the system time provided by the video camera 100.

Then, the vehicle speed is calculated using the following equation (1) as the distance between the virtual lines 1, 2 (A) and (B) and the virtual line invasion time difference of the calculated vehicle.

)를 가진 지점에 설정하고, 가상라인2는 비디오카메라(100)에서 60° 각도(

)를 가진 지점에 설정한다.As shown in FIG. 8B, the second method for calculating the vehicle speed is to calculate the vehicle speed based on the installation height h of the video camera 100 previously measured and defined through the virtual line setting unit 520, 1 is an angle of 45 degrees in the video camera 100

, And the virtual line 2 is set at a point having a 60 ° angle (

Is set to a point having a point.

,

)를 통해서 가상라인1(A)과 가상라인2(B)의 거리(c)를 다음 수학식 2와 같이 삼각비 활용 방정식을 이용하여 계산한다.The installation height h of the video camera 100 and the set angle h

,

The distance c between the virtual line 1 (A) and the virtual line 2 (B) is calculated by using the triangular ratio utilization equation as shown in the following equation (2).

Then, the virtual line invasion time difference (virtual line 1 penetration time-virtual line 2 penetration time) from the front bumper of the vehicle to the first virtual line 1 (A) to the second virtual line 2 (B) . At this time, the virtual line invasion time of the vehicle is based on the system time provided by the video camera 100.

The vehicle speed is calculated using the distance between virtual lines 1 and 2 (A) (B) and the virtual line invasion time difference of the vehicle calculated using the following equation (3).

When the calculated vehicle speed is compared with a predetermined reference speed and the vehicle speed exceeds the reference speed (S240), the license plate is extracted and separated using the area of the vehicle license plate through the vehicle number recognizing unit 550 The vehicle number is recognized through comparison with the learned training data (S250).

The analysis information output unit 560 designates the calculated vehicle speed and the information data of the recognized vehicle number and the photographed vehicle image as one common number and outputs it to the matching processing unit 600 at the next stage (S260). At this time, the vehicle speed data, the vehicle number data, and the vehicle image include common numbers and different unique numbers, respectively.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be apparent to those skilled in the art that various modifications may be made without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

Claims (10)

A video camera for photographing a surveillance target,
A power supply unit for supplying power,
At least two or more virtual lines are set in one image photographed by the video camera, the distance between the two virtual lines is calculated, the vehicle speed is calculated on the basis of the moving time of the two calculated virtual lines, An intelligent image analyzing unit for detecting a vehicle number from a photographed image when the vehicle speed exceeds a preset reference speed,
A matching processing unit for textizing the vehicle speed and the vehicle number analyzed by the intelligent image analyzing unit and matching the captured image with the image of the vehicle,
And a communication processing unit for converting the transmission image generated by the matching processing unit to digital and delivering the converted image to a related organization through a wire / wireless network,
The intelligent image analysis unit
An object recognition unit for recognizing an area of a license plate and a front bumper area of a front face of the vehicle in an image photographed by a video camera,
A virtual line setting unit for setting at least two virtual lines spaced apart from each other by a predetermined distance in a direction intersecting the moving direction of the vehicle on one image photographed by one video camera;
The installation height (h) of one video camera and the set angle

,

(C) between the virtual line 1 and the virtual line 2 through the use of a triangular ratio utilization equation, and the front bumper on the front surface of the vehicle recognized by the object recognition unit calculates the distance A speed analyzer for calculating a vehicle speed on the basis of a time difference in which two virtual lines are divided by dividing a time when a virtual line is invaded and a time when a second virtual line is invaded by distance and time,
An event generating unit for generating an event indicating an overspeed occurrence in which the vehicle speed calculated by the speed analyzing unit exceeds a preset reference speed,
And a vehicle number recognition unit for recognizing the vehicle number through comparison with the training data after extracting and separating the license plate using the vehicle license plate area of the vehicle recognized by the object recognition unit when the event occurrence unit generates the overspeed event, A recognition unit,
And an analysis information output unit for outputting the calculated vehicle speed and the information data of the recognized vehicle number and the photographed vehicle image as a common number,

The virtual line setting unit sets the virtual line 1 as a reference based on the installation height (h) of the video camera, which is measured and defined in advance,

And the virtual line 2 is set at a point having an angle,

Greater than angle

Set at a point having an angle,
The speed analyzer compares the installation height (h) of the video camera with the set angle

,

), The distance (c) between the virtual line 1 and the virtual line 2 is calculated using the following equation

The distance between the virtual line 1 and the virtual line 2 is calculated,
When the distance between the virtual line 1 and the virtual line 2 is calculated, the virtual line invasion time difference (virtual line 1 penetration time-virtual line 1) from the front bumper of the vehicle reaching the first virtual line 1 until reaching the second virtual line 2, Virtual line 2 intrusion time) is calculated,
The distance between the calculated virtual lines 1 and 2 and the virtual line invasion time difference of the calculated vehicle is expressed by the following equation:

"Is used to calculate the vehicle speed. delete The method according to claim 1,
Wherein the vehicle speed data, the vehicle number data, and the vehicle image each include a common number together with a different unique number. (A) inputting an image of a surveillance region photographed by one video camera;
(B) at least two or more virtual lines are set in the inputted one image through the intelligent image analyzing unit and the installation height (h) of one video camera and the set angle

,

(C) between the virtual line 1 and the virtual line 2 is calculated through the use of the trigonometric ratio utilization equation, the vehicle speed is calculated based on the two virtual line travel times using the calculated distance, and the calculated vehicle speed Detecting a vehicle number on the photographed image when the vehicle speed exceeds a predetermined reference speed,
(C) textualizing the detected vehicle speed and vehicle number through a matching processing unit, generating a transmission image by matching the detected vehicle speed with a vehicle image of the vehicle,
(D) converting the generated transmission image to digital through a communication processing unit and transmitting the digital image to a related organization through a wire / wireless network,
The step (B)
(B1) objecting the area of the license plate and the front bumper area of the front of the vehicle from the image input from the video camera through the object recognition unit,
(B2) setting at least two virtual lines spaced apart from each other by a predetermined distance in a direction intersecting the moving direction of the vehicle on the input one image through the virtual line setting unit;
(B3) Through the speed analyzer, the installation height (h) of one video camera and the set angle

,

(C) between the virtual line 1 and the virtual line 2 by using the trigonometric-based utilization equation, and the time when the front bumper of the objectized front of the vehicle invades the first virtual line of the set virtual line and the time Calculating a vehicle speed on the basis of a time difference in which two virtual lines are infiltrated by dividing a time when a virtual line is invaded into a distance and a time unit;
(B4) comparing the calculated vehicle speed with a predetermined reference speed,
(B5) If the vehicle speed exceeds the reference speed as a result of the comparison, the license plate is extracted and separated by using the area of the vehicle license plate through the vehicle number recognizing unit, and the vehicle number is recognized through comparison with the learned training data Step,
(B6) designating the calculated vehicle speed and the information data of the recognized vehicle number and the photographed vehicle image as one common number through an analysis information output unit and outputting the same to the next stage,
The step (B3)
Based on the installation height (h) of the video camera previously measured and defined through the virtual line setting unit,

And the virtual line 2 is set at a point having an angle,

Greater than angle

Setting a point at an angle,
The installation height (h) of the video camera and the angle

,

), The distance (c) between the virtual line 1 and the virtual line 2 is calculated using the following equation

Using the calculation result,
Calculating a virtual line invasion time difference (virtual line 1 invasion time-virtual line 2 invasion time) from when the front bumper of the vehicle touches the first virtual line 1 until reaching the second virtual line 2;
The distance between the virtual lines 1 and 2 and the virtual line invasion time difference of the calculated vehicle are expressed by the following equation:

≪ / RTI > wherein the step of calculating the vehicle speed comprises calculating the vehicle speed using the CCTV image information. 5. The method of claim 4,
Wherein the transmission image is generated by combining a vehicle speed, a vehicle number, and a vehicle image. 5. The method of claim 4, wherein step (C)
Detecting vehicle speed data, vehicle number data and the vehicle image having one common number;
Detecting the detected vehicle speed data, vehicle number data, and different unique numbers included in the vehicle image,
And generating a transmission image by disposing one of the vehicle speed data, the vehicle number data, and the vehicle image at a specific position in the transmission image form set in advance for each unique number based on the detected unique number, respectively Speed vehicle monitoring method using CCTV image information. delete delete delete 5. The method of claim 4,
remind

Is 45 degrees,

Is 60 DEG. ≪ RTI ID = 0.0 > 15. < / RTI >

Images