KR101444233B1 - LCS system for roadway communication based on CCTV, and method for managing traffic accident using the same - Google Patents

Abstract

The present invention relates to an LCS system for roadway communications based on a CCTV, and a method for managing a traffic accident using the same. The LCS system for roadway communications based on a CCTV, and a method for managing a traffic accident using the same according to one embodiment of the present invention includes: a main controller (11), a monitoring module (12), and a traffic light driving module (13). According to one embodiment of the present invention, the main controller (11) includes: a data collection unit (11a); and a data analysis unit (11b) which controls a transmitting/receiving unit (11e); and a traffic light interlinking unit (11c). More particularly, in an aspect of the present invention, the LCS system for roadway communication based on a CCTV can include other embodiments.

Description

[0001] The present invention relates to a CCTV-based LCS system for road communication, and a road traffic accident handling method using the same.

The present invention relates to a CCTV-based LCS system for road communication, and a road traffic accident handling method using the CCTV-based road communication. More specifically, the present invention relates to a reliability of vehicle object analysis, Overcoming limitations caused by overlap between limits and objects in the image, establishing automation of vehicle accident handling, and implementing lane information analyzed by accident as an information indicator built with previous traffic lights in the road direction of the vehicle And a method of processing a road traffic accident using the LCS system for CCTV-based road communication.

In order to inform the driver of the tunnel inside the tunnel, the tunnel entrance type electric signboard and the internal electric signboard which are used in some tunnels, and to notify the traffic information of each lane, This system is constructed so that a worker manually manipulates a program installed in a terminal server dedicated to the tunnel management agreement or automatically receives a signal from a fire receiver in an emergency such as a fire in a tunnel.

However, traffic accidents occur frequently due to the increase in the number of vehicles as well as the above-mentioned tunnels, and the accidental vehicles are parked on the roads in order to preserve evidence.

In addition, the traffic congestion caused by such a traffic accident is confirmed through a separate broadcast or through a large electric signboard on the road. However, in order for the driver on the road to confirm it, the system operator must manually input the notification And it is difficult for workers to cope with all road traffic accidents, which is large and small. Therefore, there is a limitation in that workers are reluctant to actively respond to road information.

[Related Technical Literature]

1. Residual standby signal transmitter of traffic light controller and its reception indicator (Patent Application No. 10-1995-0010259)

2. Road information facility (Tunnel VMS and LCS) control system for protecting traffic accidents at tunnel exit using road weather information system to prevent traffic accidents at tunnel exit , by using Road weather information system) (Patent Application No. 10-2010-0030667)

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a method and apparatus for converting CCTV image data into three-dimensional image data, accurately recognizing a single vehicle object in the conversion process, The present invention is to provide a CCTV-based LCS system for road communication to analyze road traffic situation through movement amount, and a road traffic accident handling method using the LCS system.

Also, according to the present invention, the position of the vehicle object is automatically tracked by using the real-time change data stored at the time of tracking for each vehicle object, and the position tracking mark is retrospectively tracked from the CCTV image data, By using the CCTV image data for vehicle object information extraction, it is possible to overcome the limitation of the CCTV image data captured by the CCTV image and to overcome the limitation of the vehicle sign The present invention provides a CCTV-based LCS system for road communication, and a road traffic accident handling method using the same.

Further, according to the present invention, the vehicle object information is transmitted to the LCS central control system, and a database for charging the fine for negligence is constructed through the vehicle sign number, which is vehicle object information, by the LCS central control system, The present invention provides a CCTV-based LCS system for road communication, and a road traffic accident handling method using the same.

In addition, the present invention transmits lane information analyzed by an accident to an apparatus installed in a previous traffic light among the road progress directions of the vehicle, and realizes the lane information through an information display, so that drivers can instantaneously predict the traveling direction , A LCS system for CCTV-based road communication, and a road traffic accident handling method using the same.

However, the 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.

In order to achieve the above object, an LCS system for CCTV-based road communication according to an embodiment of the present invention includes a CCTV 20, a traffic light 30, an information indicator 30-1, (LCS) system 10 for a CCTV-based road communication including an object recognition-based LCS apparatus 10 and an LCS central control system 40, The main controller 11 includes a main controller 11, a monitoring module 12 and a signal lamp driving module 13. The main controller 11 controls the monitoring module 12 to transmit CCTV image data photographed by the CCTV 20 (11a) for receiving the data; And CCTV image data into three-dimensional image data. After recognizing the object for each vehicle object in the three-dimensional image data, a position tracking mark for tracking each vehicle object is generated, and the number of vehicle objects If there is a lane in which the traveling distance of the road by car is less than a preset threshold value, the lane is analyzed for an accident, and at least one vehicle object stopped at the lane analyzed by the accident is extracted from the location tracking mark and three- Data analyzing means (11b) for controlling the transceiver (11e) to transmit vehicle object information of the vehicle to the LCS central control system (40); A signal lamp interlocking means (11c) for controlling the transceiver (11e) so as to realize lane information analyzed by accident in at least one of the previous traffic lights (30) among the traffic lights and the road progress direction through the information display (30-1); .

At this time, the LCS central control system 40 constructs a database for charging the fine for negligence through the vehicle sign number, which is vehicle object information of the received vehicle object, or generates a vehicle sign number and a signal lamp (not shown) to a public office and a police server It is preferable to transmit the emergency dispatch command by transmitting the location information of the mobile terminal 30.

The data analyzing means 11b decodes the streaming-type CCTV image data for analyzing the vehicle object from the CCTV image data received by the data collecting means 11a to generate a plurality of decoded images , A polygon set which is a basic unit for expressing each decoded image in a three-dimensional solid shape is generated, and the time for the CCTV image data received by the data collection means 11a from the set of polygons generated from each decoded image It is desirable to analyze the distance change between the polygons according to the flow of the vehicle, and to recognize the vehicle-shaped object moving without a distance change as one single vehicle object.

The data analyzing unit 11b generates three-dimensional image data by attaching each decoded image to a set of polygons generated for each decoded image, stores the generated three-dimensional image data in the storage unit 11d, stores the three- The first to the n-th stages (n is 2 or more) which are successive magnitude transformations according to the control signals (the scale-up control signal Sig-SU and the scale-down control signal Sig-SD) (A natural number), or performing a change of the aspect ratio in accordance with a control signal (the horizontal-aspect ratio increase control signal Sig-Wd and the vertical-aspect ratio increase control signal Sig-Lg) desirable.

The data analyzing means 11b includes a signal lamp 30a for an intersection or a signal lamp 30b for a crosswalk in the signal lamp 30 under the control of the object recognition based LCS apparatus 10 having the data analyzing means 11b ) Is analyzed by using the serial number stored in the storage unit 11d and then the road lane travel amount is calculated according to the number of vehicle objects for each lane line when the signal lamp 30 is the traffic light 30b for the crosswalk If there is a lane less than a preset threshold value among the calculated lane departure amounts, the lane is analyzed by accident, at least one vehicle object stopped at the lane analyzed by the accident through the object recognition is extracted, It is desirable to reverse track the position tracking mark to the extracted vehicle object to extract the vehicle object information (vehicle sign number) from the three-dimensional image data.

Also, when extracting at least one vehicle object stopped in the lane analyzed by the accident through the object recognition, various kinds of vehicle object pattern information received from the LCS central control system 40 stored in the storage unit 11d, It is preferable to compare the pattern of the object included in the data to determine the vehicle object in the three-dimensional image data.

In addition, the data analyzing means 11b determines whether or not the specification of the graphic pixels included in the three-dimensional image data, that is, the contrast and darkness of the graphic pixel, the color of the graphic pixel, A characteristic extracting means (11b-1) for extracting a characteristic of the graphic pixel from the changing shape; In order to judge a graphic pixel having characteristics similar to the characteristics of the graphic pixel as a similar range, the graphic pixel from which the characteristic is extracted is determined as a reference graphic pixel, and similarity with the reference graphic pixel is determined A similarity determination means (11b-2) for determining that the object is the same object object when it is determined to be similar; , And the similarity preferably includes a contrast difference between the graphic pixels or a difference in distance between the graphic pixels.

Whether or not the signal light 30a for an intersection or the signal light 30b for a crosswalk in the signal lamp 30 under the control of the object recognition based LCS device 10 including the data analysis means 11b is stored in the storage unit 11d ), And when the signal lamp 30 is the traffic signal lamp 30a for the intersection, the number of vehicle objects for each car is summed, and each car passing through the intersection according to the sum of the summed vehicle objects It is preferable that the sorting movement amount range is extracted from the storage unit 11d and, in the case of the traffic light signal for the crossing press 30b, the road separation amount according to the number of vehicle objects for each car is calculated.

The CCTV 20 also has a first object recognition mode for recognizing the number of the vehicle and the vehicle sign number of the vehicle and has a second object recognition mode for image capturing of each intersection and the crosswalk section .

In order to achieve the above object, a method of processing a road traffic accident using an LCS system for CCTV-based road communication according to an embodiment of the present invention is characterized in that the data collection means 11a is connected to the CCTV 20 through the monitoring module 12, A first step of receiving, in real time, CCTV image data photographed by the camera; After the data analyzing means 11b converts the CCTV image data into three-dimensional image data, recognizes the object for each vehicle object in the three-dimensional image data, generates a position tracking mark for tracking each vehicle object, If there is a lane in which the moving distance by the road lane is less than a predetermined threshold value according to the number of objects of the screening vehicle, the lane is analyzed for an accident and the vehicle object stopped in the lane analyzed by the accident is detected by the position tracking mark and the three- A second step of controlling the transceiver unit 11e to transmit vehicle object information of the extracted and extracted vehicle to the LCS central control system 40; And the signal lamp interlocking means 11c transmits the lane information analyzed by the accident to at least one of the preceding traffic lights 30 in the road traveling direction and controls the transceiver 11e to be implemented through the information display lamp 30-1 A third step; .

In this case, when the number of vehicle objects is calculated in real time for each lane in the second step, the data analyzing means 11b decodes the CCTV image data for analyzing the vehicle object to generate a plurality of decoded images Step 2-1; A second step (2-2) of generating a polygon set as a basic unit for the data analyzing means (11b) to represent each decoded image in a three-dimensional solid shape; The data analyzing means 11b analyzes the change in the distance between each polygon according to the passage of time from the set of polygons generated from each decoded image, and recognizes the vehicle-shaped object moving without a distance change as one single vehicle object Steps 2-3; (2-4) in which the data analyzing means (11b) generates three-dimensional image data by attaching each decoded image onto a set of polygons generated for each decoded image, and stores the generated three-dimensional image data in the storing unit (11d); (2-5) in which the data analyzing means (11b) generates a position tracking mark for tracking each vehicle object in the three-dimensional image data; And (2-6) the data analyzing means 11b calculates the number of vehicle objects for which the position tracking mark is set in real time for each lane; .

The LCS system for CCTV-based road communication and the road traffic accident processing method using the same according to the embodiment of the present invention convert CCTV image data into 3D image data and convert a single vehicle object into a precise And the reliability of the analysis can be secured by analyzing the road traffic situation through the amount of movement of each vehicle by using the recognized vehicle object.

In addition, according to another embodiment of the present invention, the LCS system for road communication based on CCTV and the road traffic accident processing method using the same can be realized by using real-time change data stored at the time of tracking for each vehicle object, The CCTV image data is traced back from the CCTV image data and the CCTV image data according to the time is used for vehicle object information extraction, so that the CCTV image data captured by the CCTV is a low-quality image And it is possible to overcome the limitation that the vehicle sign number is blocked by other vehicle objects.

In addition, according to another embodiment of the present invention, an LCS system for road communication based on CCTV, and a road traffic accident processing method using the same, transmits vehicle object information to an LCS central control system, A database for granting a fine for negligence through a vehicle sign number that is information, and a convenience in that an emergency dispatch command can be performed by transmitting the vehicle sign number to a government office and a police server and location information of a traffic light.

In addition, according to another embodiment of the present invention, an LCS system for road communication based on CCTV and a road traffic accident processing method using the same, The driver can instantly predict the direction of travel through the implementation of the accident information by the car line to provide a possibility of prediction that can change lanes or bypass or turn on the lane.

1 is a diagram illustrating an LCS system for CCTV-based road communication according to an embodiment of the present invention.
2 is a block diagram showing a configuration of the main controller 11 in Fig.
3 is a conceptual diagram for explaining the operation between the intersection signal lamp 30a and the crosswalk signal lamp 30b and the components of the object recognition based LCS device 10 among the LCS system for CCTV- to be.
4 is a flowchart illustrating a vehicle object recognition process in a road traffic accident handling method using an LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method of processing a road traffic accident using an LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention. Referring to FIG. 5, And FIG.
FIG. 6 is a flowchart illustrating a method of processing a road traffic accident using a LCS system for CCTV-based road communication according to an embodiment of the present invention. And a signal lamp 30b for the crosswalk.
FIG. 7 is a diagram illustrating a traffic light accident processing method using a LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention. And a signal lamp 30a for an intersection.
FIG. 8 is a conceptual diagram illustrating the implementation of the lane information analyzed accidentally in the traffic lights 30 in the road direction of the vehicle in the road traffic accident processing method using the LCS system for CCTV-based road communication according to the embodiment of the present invention Fig.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In the present specification, when any one element 'transmits' data or signals to another element, the element can transmit the data or signal directly to the other element, and through at least one other element Data or signal can be transmitted to another component.

1 is a diagram illustrating an LCS system for CCTV-based road communication according to an embodiment of the present invention. 1, an LCS (Lane Control System) system for CCTV-based road communication includes an object recognition-based LCS device 10, a CCTV 20, a traffic light 30, an information indicator 30-1, And a central control system (40). The object recognition based LCS device 10 includes a main controller 11, a monitoring module 12, and a traffic light driving module 13.

The CCTV 20 has a first object recognition mode for recognizing the number of the vehicle and the vehicle sign number of the vehicle, and has a second object recognition mode for image capturing of each intersection and a crosswalk section.

The monitoring module 12 sends the CCTV image data photographed by the CCTV 20 to the main controller 11 so as to recognize the object including the main controller 11 using the storage unit 11d of the main controller 11 Based LCS device 10 to operate as a DVR system.

The signal lamp driving module 13 includes a signal driving unit (SCU: Signal Control Unit) dedicated to signal lamp driving and a fail-safe function, an MMI means for connecting an operator, It is preferable to include a terminal facility unit.

2 is a block diagram showing a configuration of the main controller 11 in Fig. 2, the main controller 11 includes a data collecting unit 11a, a data analyzing unit 11b, a signal lamp interlocking unit 11c, a storage unit 11d, and a transceiver unit 11e.

3 is a conceptual diagram for explaining the operation between the intersection signal lamp 30a and the crosswalk signal lamp 30b and the components of the object recognition based LCS device 10 among the LCS system for CCTV- to be.

Hereinafter, the LCS system for CCTV-based road communication will be described in detail with reference to the components of the main controller 11 of FIG.

The data collection means 11a receives the CCTV image data photographed by the CCTV 20 via the monitoring module 12 in real time.

The data analyzing means 11b decodes the streaming-type CCTV image data for analyzing the vehicle object from the CCTV image data received by the data collecting means 11a to generate a plurality of decoded images.

The data analyzing unit 11b generates a set of polygons as a basic unit for expressing each decoded image in a three-dimensional solid shape.

The data analyzing means 11b analyzes the variation of the distance between the polygons according to the passage of time with respect to the CCTV image data received by the data collecting means 11a from the set of polygons generated from each decoded image, And recognizes the vehicle-shaped object as a single vehicle object.

The data analyzing unit 11b generates three-dimensional image data by attaching each decoded image to a set of polygons generated for each decoded image, and stores the generated three-dimensional image data in the storage unit 11d. On the other hand, the data analyzing means 11b analyzes the three-dimensional image data in succession according to the control signals (the scale-up control signal Sig-SU and the scale-down control signal Sig-SD) Step size up or scale down of the first to n-th steps (n is a natural number of 2 or more), which is a size conversion, or a control signal (a horizontal aspect ratio increase control signal Sig-Wd, Sig-Lg)) to improve image quality deterioration, blockage, and staircase phenomenon by using a scale method, and improve deterioration of image quality, blocking, and staircase by using filtering in enlargement and ratio control It provides an effect that can be done.

The data analyzing means 11b generates position tracking marks for tracking for each vehicle object in the three-dimensional image data.

Here, the position tracking marking for tracking of each vehicle object is automatically performed when the position of each vehicle object is changed or the stereoscopic view is changed when the object is implemented in each frame on the three-dimensional image data, The real-time change data according to the change is generated by the data analysis unit 11b and stored in the storage unit 11d. Then, the real-time change data stored at the time of tracking for each vehicle object is utilized so that the position of the vehicle object is automatically tracked .

The data analyzing means 11b calculates the number of vehicle objects for which the position tracking mark is set in real time for each lane.

The data analyzing means 11b determines whether the signal lamp 30a for an intersection or the signal lamp 30b for a crosswalk in the signal lamp 30 under the control of the object recognition based LCS device 10 having the data analyzing means 11b Is analyzed using the serial number stored in the storage unit 11d.

As shown in FIG. 3A, the signal lamp 30a for an intersection includes a signal system for turning left and turning on, for example, a signal lamp classified into red (stop), yellow (standby), left turn and green It is a comprehensive concept that includes installation in one place.

In addition, the traffic light signal line 30b for a crosswalk means a signal light installed in a place where only a straight line signal and a stop signal signal are needed, as opposed to the above-described traffic light signal for an intersection 30a.

In the following description, the signal lamp 30 is an intersection signal lamp 30a or a crosswalk signal lamp 30b.

≪ First Embodiment: In the case of a signal lamp 30b for crosswalk >

The data analyzing means 11b analyzes the traffic light 30b under the control of the object recognition based LCS device 10 to determine whether the road traffic light 30b is a road traffic light And calculates the movement amount. Here, the road lane travel amount can be calculated on the basis of the passage number of vehicle objects in each lane for a predetermined time, or on the basis of the number of polygons for each vehicle object among the generated polygon sets for a preset time have. In the latter case, there is an advantage in that an effective road car travel amount according to the actual area of the road can be calculated.

The data analyzing means 11b analyzes the corresponding lane by accident if there is a lane which is less than or equal to a predetermined threshold value among the calculated lane-by-lane moving amounts.

The data analyzing means 11b extracts at least one vehicle object stopped in the lane analyzed by the accident through object recognition.

Dimensional image data stored in the storage unit 11d during the object recognition of the object of the vehicle by the data analysis unit 11b. The storage unit 11d stores various vehicle object patterns received from the LCS central control system 40. The data analysis unit 11b analyzes the various vehicle object pattern information or the inclination of various vehicle object patterns, Dimensional image data and a pattern of an object included in the 3D image data are compared with each other to discriminate the vehicle object in the 3D image data.

On the other hand, the data analysis means 11b may include the characteristic extraction means 11b-1 and the similarity determination means 11b-2. The characteristic extracting means 11b-1 extracts the characteristic of the graphic pixel included in the three-dimensional image data, that is, the contrast and darkness of the graphic pixel, the color of the graphic pixel, the line formed by the graphic pixel, And extracts the characteristics of the graphic pixel from the shape or the like.

The similarity judgment means 11b-2 judges the graphic pixel including the characteristic similar to the characteristic of the graphic pixel as a similar range. That is, the similarity determination means 11b-2 determines the similarity between the reference graphic pixel and the neighboring graphic pixels by judging the graphic pixel from which the characteristic is extracted as the reference graphic pixel, . Here, the similarity is a concept including a difference in contrast between graphics pixels or a difference in distance between graphic pixels.

The data analyzing means 11b traces the above-described position tracking mark to the vehicle object extracted as being stopped, and extracts the vehicle object information (vehicle signboard number) from the three-dimensional image data. In this way, the CCTV image data captured by the CCTV 20 can be overcome the limitation of the low-resolution image by using the CCTV image data according to the time- There is an advantage that it can overcome the limitation that the vehicle sign number is covered by other vehicle objects.

The data analysis unit 11b controls the transceiver unit 11e to transmit vehicle object information to the LCS central control system 40. [ Accordingly, the LCS central control system 40 constructs a database for charging the fine for negligence through the vehicle sign number, which is vehicle object information of the received vehicle object, or generates a vehicle sign number and a traffic light (not shown) to a public office and a police server 30 in response to the transmission of the location information of the emergency dispatch command.

On the other hand, the traffic light interlocking means 11c controls the transceiver unit 11e so that it is transmitted through the information display lamp 30-1 by transmitting the lane information analyzed by the accident to the traffic light 30 in the road progress direction. Accordingly, the driver can instantaneously predict the traveling direction by implementing the accident information on the information display lamp 30-1 attached to the landing along with the previous traffic light 30 in the road traveling direction, It is possible to predict.

≪ Second Embodiment: In case of an intersection traffic light 30a >

The data analyzing means 11b analyzes the signal light 30a that is under the control of the object recognition based LCS device 10 as the result of the analysis The number of vehicle objects for each car line is calculated by a preliminary process without calculating the amount of car traveling by road according to the number of vehicle objects for each car line.

The data analyzing means 11b extracts the respective moving range of each car line passing through the intersection according to the sum of the summed vehicle objects from the storage unit 11d.

After such a preliminary process, as in the case of the traffic light 30b for the crosswalk, the data analyzing means 11b calculates the amount of road by car according to the number of vehicle objects for each car.

Thereafter, the data analyzing means 11b analyzes the corresponding lane, which is equal to or smaller than the range of the moving distance for each lane, extracted from the storage unit 11d among the lane-by-lane moving amounts. The reason for analyzing the range of the moving amount for each lane extracted from the storage unit 11d as an accident for the lane on the basis of the lane change is that the lane change in front of the intersection traffic light 30a of the vehicle object in the case of the traffic light 30a for the intersection The traffic lights 30b and the traffic lights 30b for the crosswalk can be generated more actively than the traffic lights 30b for the crosswalk, To minimize the occurrence of judgment errors.

The subsequent process is the same as that for the traffic light signal for crosswalk 30b with respect to the traffic light for the intersection 30a. That is, the data collecting means 11a extracts at least one vehicle object stopped in the accidentally analyzed lane, and then traces the position tracking mark back to the extracted vehicle object in step S16, (Vehicle sign number), and controls the transmitting / receiving unit 11e to transmit the vehicle object information to the LCS central control system 40 In addition, the signal lamp interlocking means 11c controls the transceiver unit 11e so that it is transmitted through the information display lamp 30-1 by transmitting the lane information analyzed by the accident to the previous signal lamp 30 in the road progress direction.

4 is a flowchart illustrating a vehicle object recognition process in a road traffic accident handling method using an LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention. Referring to FIG. 4, the data collection unit 11a receives the CCTV image data photographed by the CCTV 20 in real time via the monitoring module 12 (S11).

After step S11, the data analysis unit 11b decodes the CCTV image data for analyzing the vehicle object to generate a plurality of decoded images (S12).

After step S12, the data analyzing unit 11b generates a polygon set as a basic unit for expressing each decoded image in a three-dimensional solid shape (S13).

After step S13, the data analyzing means 11b analyzes the change in the distance between the polygons according to the passage of time from the set of polygons generated from each decoded image, so that the vehicle- It is recognized as a vehicle object (S14).

After step S14, the data analysis unit 11b creates three-dimensional image data by attaching each decoded image onto a set of polygons generated for each decoded image, and stores the generated three-dimensional image data in the storage unit 11d (S15) .

After the step S15, the data analysis means 11b generates a position tracking mark for tracking each vehicle object in the three-dimensional image data (S16).

After the step S16, the data analyzing means 11b calculates the number of vehicle objects for which the position tracking mark is set in real time for each lane (S17).

FIG. 5 is a flowchart illustrating a method of processing a road traffic accident using an LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention. Referring to FIG. 5, And FIG. 4, the data analysis means 11b includes an intersection of the traffic lights 30 under the control of the object recognition based LCS apparatus 10 having the data analysis means 11b, The signal lamp 30a for a crosswalk or the signal lamp 30b for a crosswalk is analyzed using the serial number stored in the storage unit 11d (S21).

After step S21, the data analysis unit 11b determines whether the analysis result of step S21 is for an intersection (S22). If it is for an intersection, the data analysis unit 11b proceeds to step S31 of FIG. 6, The process proceeds to step S41 of FIG.

As shown in FIG. 3A, the signal lamp 30a for an intersection includes a signal system for turning left and turning on, for example, a signal lamp classified into red (stop), yellow (standby), left turn and green It is a comprehensive concept that includes installation in one place.

In addition, the traffic light signal line 30b for a crosswalk means a signal light installed in a place where only a straight line signal and a stop signal signal are needed, as opposed to the above-described traffic light signal for an intersection 30a.

FIG. 6 is a flowchart illustrating a method of processing a road traffic accident using a LCS system for CCTV-based road communication according to an embodiment of the present invention. And a signal lamp 30b for the crosswalk. Referring to FIG. 6, the data analyzing means 11b calculates the road-by-road lane change amount in accordance with the number of vehicle objects for each car line calculated in step S17 (S31).

After the step S31, if there is a lane less than a predetermined threshold value among the lane-by-lane moving amounts calculated in the step S31, the data analyzing means 11b analyzes the corresponding lane by accident (S32).

After the step S32, the data analyzing means 11b extracts at least one vehicle object that is stopped in the lane analyzed by the accident through the object recognition (S33).

After the step S34, the data analyzing means 11b traces the position tracking mark back to the vehicle object extracted at the step S33 at the step S16 to obtain vehicle object information (vehicle signboard number) from the three-dimensional image data (S34).

After step S34, the data analysis unit 11b controls the transceiver unit 11e to transmit vehicle object information to the LCS central control system 40 (S35).

After step S35, the signal lamp interlocking means 11c transmits the lane information analyzed as an accident to the previous traffic light 30 in the road progress direction, and transmits the lane information analyzed through the information display lamp 30-1 to the transceiver unit 11e (S36).

FIG. 7 is a diagram illustrating a traffic light accident processing method using a LCS system for CCTV-based road communication according to an exemplary embodiment of the present invention. And a signal lamp 30a for an intersection. Referring to Fig. 7, the data analyzing means 11b adds the number of vehicle objects for each car line calculated in accordance with step S17 (S41).

After the step S41, the data analyzing means 11b extracts the respective moving range of each car passing through the intersection according to the sum of the summed vehicle objects from the storage unit 11d (S42).

After the step S42, the data analyzing means 11b calculates the amount of travel by road according to the number of vehicle objects for each car line (S43).

After the step S43, the data analyzing means 11b analyzes the corresponding lane, which is equal to or smaller than the range of the moving distance for each lane, extracted in the step S42 among the lane-by-lane moving amounts.

After the step S45, the data collecting means 11a extracts at least one vehicle object stopped in the accidentally analyzed lane (S45).

After step S45, the data analyzing means 11b traces the position tracking mark back to the vehicle object extracted in the step S45 to obtain the vehicle object information (vehicle signboard number) from the three-dimensional image data (S46).

After step S46, the data analysis unit 11b controls the transceiver unit 11e to transmit vehicle object information to the LCS central control system 40 (S47).

After step S47, the signal lamp interlocking means 11c transmits the lane information analyzed as an accident to the previous traffic light 30 in the road progress direction, and transmits the lane information analyzed through the information display lamp 30-1 to the transceiver unit 11e (S48). Meanwhile, FIG. 8 is a diagram showing a concept in which lane information analyzed by accident in the previous traffic lights 30 in the road progress direction of the vehicle is implemented. That is, lane information analyzed by accident in the previous traffic lights 30 among at least one road progress direction is transmitted, so that lane information analyzed by accident can be implemented through the information display lamp 30-1.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: LCS device based on object recognition
11: Main controller
11a: Data collection means
11b: Data analysis means
11c: signal light interlocking means
11d:
11e:
12: Monitoring module
13: Traffic light driving module
20: CCTV
30: Traffic lights
30-1: Information Indicator
40: LCS Central Control System

Claims (11)

A plurality of the CCTV 20, the traffic lights 30 and the information display 30-1 as one unit, and further includes the object recognition-based LCS device 10 and the LCS central control system 40 In the LCS (Lane Control System) system for CCTV-based road communication, the object recognition based LCS device 10 includes a main controller 11, a monitoring module 12, and a traffic light driving module 13, (11)
Data collection means 11a for receiving CCTV image data photographed by the CCTV 20 through the monitoring module 12 in real time; And
CCTV image data is converted into three-dimensional image data, and after recognizing an object for each vehicle object in the three-dimensional image data, a position tracking mark is generated for tracking for each vehicle object, and according to the number of vehicle objects If there is a lane with a road lane selection travel less than a preset threshold value, the lane is analyzed by accident, and at least one vehicle object stopped at the lane analyzed by the accident is extracted from the location tracking mark and three- Data analyzing means (11b) for controlling the transceiver (11e) to transmit vehicle object information of the vehicle to the LCS central control system (40); And
A signal lamp interlocking means (11c) for controlling the transceiver (11e) so as to realize lane information analyzed by accident to at least one of the preceding traffic lights (30) in the road traveling direction through the information display (30-1); And an LCS system for road communication based on CCTV.
The system of claim 1, wherein the LCS central control system (40)
A database for granting a fine for negligence is constructed through the vehicle sign number, which is vehicle object information of the object of the received vehicle, or a vehicle identification number to the public office and a police server (not shown) And transmits a dispatch command to the LCS system for CCTV-based road communication.
The data analysis device according to claim 1, wherein the data analysis means (11b)
A plurality of decoded images are generated by decoding the streaming type CCTV image data for analyzing the vehicle object from the CCTV image data received by the data collecting means 11a, and each decoded image is converted into a three-dimensional solid shape And the distance variation between the polygons according to the flow of time for the CCTV image data received by the data collection means 11a from the set of polygons generated from each decoded image And recognizes the vehicle-shaped object moving without a change in distance as one single vehicle object.
The data analysis apparatus according to claim 3, wherein the data analysis means (11b)
Dimensional image data by attaching each decoded image onto a set of polygons generated for each decoded image, and stores the generated three-dimensional image data in the storage unit 11d,
The first to the n-th image data, which are successive magnitude transformations according to the control signals (the scale-up control signal Sig-SU and the scale-down control signal Sig-SD) (N is a natural number of 2 or more) or performing a scale-up or scaling-down of a step ratio of a screen ratio (n is a natural number of 2 or more) And the LCS system for the CCTV-based road communication.
The data analysis device according to claim 1, wherein the data analysis means (11b)
Whether or not the signal light 30a for the intersection or the signal light 30b for the crosswalk in the signal lamp 30 under the control of the object recognition based LCS device 10 having the data analysis means 11b is stored in the storage unit 11d After the traffic light 30 is the traffic light 30b for the crosswalk, it calculates the amount of road by car according to the number of vehicle objects for each car line calculated, If there is a lane below the set threshold, the lane is analyzed by accident, at least one vehicle object stopped in the lane analyzed by the object recognition is extracted, and a position tracking mark is obtained for the vehicle object extracted as the stopped lane And the vehicle object information (vehicle sign number) is extracted from the three-dimensional image data by tracing backward the CCTV-based LCS system for road communication.
The data analysis apparatus according to claim 5, wherein the data analysis means (11b)
When extracting at least one vehicle object stopped in the lane that has been analyzed accidentally through the object recognition, various physical object pattern information received from the LCS central control system 40 stored in the storage unit 11d, And comparing the patterns of the included objects to determine vehicle objects in the three-dimensional image data.
The data analysis apparatus according to claim 6,
The characteristic of the graphic pixel is extracted from the shape of the graphic pixel included in the three-dimensional image data, that is, the contrast and darkness of the graphic pixel, the color of the graphic pixel, the line formed by the graphic pixel, (11b-1); And
In order to judge a graphic pixel having characteristics similar to those of a graphic pixel as a similar range, a graphic pixel from which the characteristic is extracted is determined as a reference graphic pixel, and similarity with the reference graphic pixel is determined (11b-2) judging that the object is the same object object when it is determined that the object is the object object; / RTI >
Wherein the similarity includes a contrast difference between graphic pixels or a distance difference between graphic pixels.
The data analysis device according to claim 1, wherein the data analysis means (11b)
Whether or not the signal light 30a for the intersection or the signal light 30b for the crosswalk in the signal lamp 30 under the control of the object recognition based LCS device 10 having the data analysis means 11b is stored in the storage unit 11d After the traffic light 30 is the traffic light 30a for the intersection, the number of vehicle objects for each car is summed up, and the amount of movement for each car passing through the intersection according to the sum of the summed vehicle objects And the LCS system for road communication based on CCTV is characterized by calculating the amount of travel by road according to the number of vehicle objects for each car in the case of the traffic light signal for crossing press 30b .
The CCTV system according to claim 1, wherein the CCTV (20)
A first object recognition mode capable of recognizing the number of the vehicle and the vehicle sign number of the vehicle, and a second object recognition mode for capturing an image of each intersection and a crosswalk section, LCS system for communication.
A first step of the data collection means 11a receiving CCTV image data photographed by the CCTV 20 in real time via the monitoring module 12;
After the data analyzing means 11b converts the CCTV image data into three-dimensional image data, recognizes the object for each vehicle object in the three-dimensional image data, generates a position tracking mark for tracking each vehicle object, If there is a lane in which the moving distance by the road lane is less than a predetermined threshold value according to the number of objects of the screening vehicle, the lane is analyzed for an accident and the vehicle object stopped in the lane analyzed by the accident is detected by the position tracking mark and the three- A second step of controlling the transceiver unit 11e to transmit vehicle object information of the extracted and extracted vehicle to the LCS central control system 40; And
The traffic light interlocking means 11c controls the transmission / reception section 11e so as to be transmitted through the information display light 30-1 by transmitting the lane information analyzed by the accident to at least one of the preceding traffic lights 30 in the road traveling direction Step 3; The method comprising the steps of: (a) receiving traffic information of a road;
The method according to claim 10, wherein when the number of vehicle objects is calculated in real time for each lane in the second step,
A second step of the data analyzing means 11b performing decoding on the CCTV image data for analyzing the vehicle object to generate a plurality of decoded images;
A second step (2-2) of generating a polygon set as a basic unit for the data analyzing means (11b) to represent each decoded image in a three-dimensional solid shape;
The data analyzing means 11b analyzes the change in the distance between each polygon according to the passage of time from the set of polygons generated from each decoded image, and recognizes the vehicle-shaped object moving without a distance change as one single vehicle object Steps 2-3;
(2-4) in which the data analyzing means (11b) generates three-dimensional image data by attaching each decoded image onto a set of polygons generated for each decoded image, and stores the generated three-dimensional image data in the storing unit (11d);
(2-5) in which the data analyzing means (11b) generates a position tracking mark for tracking each vehicle object in the three-dimensional image data; And
(2-6) in which the data analyzing means (11b) calculates in real time the number of vehicle objects for which the position tracking mark is set for each lane; The method comprising the steps of: (a) receiving traffic information of a road;

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