KR20190041704A - A cctv divided management system and method it - Google Patents

Abstract

The present invention relates to a divided management system for a CCTV and an operation method thereof which can more efficiently use high-quality large information. To this end, the divided management system for a CCTV comprises: a local server unit (10) for storing a high-quality video (Full-HD), converting into a low-quality video, and transmitting the converted low-quality video to a central control server unit (20) in real time; and the central control server unit (20) for displaying the low-quality video transmitted from the local server unit (10) in real time, assigning an ID which is an identification means for each time period set by a user, and storing information.

Description

TECHNICAL FIELD The present invention relates to a CCTV division management system,

The present invention relates to a CCTV partitioned operating system and a method of operating the CCTV divisional operating system, and more effectively utilizes high-capacity, large-capacity information.

In general, CCTV is applied to various fields, and recently, a target tracking method using object recognition and analysis technique has been proposed according to the development of technology.

However, in the case of various systems using the CCTV, when only a local area, which is a specific area, is processed, high-quality images and information can be transmitted in real time and its utility value may be high. However, In the case of a wide area network monitoring system to be managed, a communication facility for transmitting / receiving a large amount of information and a method of converting a high-quality image into a low-quality image are applied because cost is incurred due to a problem of opening a computer network at a large capacity .

In this way, the burden of constructing the network is reduced.

However, since a large-capacity high-quality information is converted into a low-capacity low-capacity information, there is a problem in utilization for identifying or specifying information about the target object. Typically, There is a problem that the image quality is deteriorated and it is difficult to recognize.

Accordingly, various types of technologies have been proposed, and various data obtained in the field of the regulations have been stored for a period of one month, and are then deleted after the custodian.

However, according to these regulations, there are frequent cases in which data are lost during investigation or use of data after the storage period.

Korean Registered Patent No. 10-1244358 (Method of Controlling CCTV Surveillance Device with Enhanced Security of Physical Redundant Network, Registered on Mar. 11, 2013) Korean Registered Patent No. 10-1358671 (CCTV surveillance camera surveillance video display system, registered on January 28, 2014)

In order to overcome such a problem, it is possible to reduce the cost of constructing a separate network for transmitting a large amount of data, such as high-quality moving images, and to save data for a predetermined period or longer And a method for operating the CCTV split operating system.

It is another object of the present invention to provide a CCTV division operating system and a method of operating the CCTV division operating system that can reduce the facility cost for storing a large capacity storage space for storing data concentrated in a central control server.

It is still another object of the present invention to provide a CCTV division operating system and a method of operating the CCTV division which allow a manager or the like to access a local server unit installed in a region when data is used for event processing or the like, .

In a CCTV division operating system for performing the task of the present invention, a system for storing a full HD (Full HD) data, converting the data into a low quality video, and transmitting the converted low quality video to a real time central control server unit Which is a control center system for displaying the low-quality moving picture real time transmitted from the local server unit 10, which is a system, and the local server unit 10, And a unit (20).

Here, the local server unit 10 includes a memory, a central processing unit for analysis, a local server 11 including a communication device and a power supply unit, a central control server unit (not shown) A remote power controller 12 for controlling the power supply of the local server unit 10 at a predetermined time and controlling the power of the local server unit 10 to check the operation state through on / And voice recognition means 14. The central control server unit 20 for controlling the local server unit 10 and transmitting and receiving data includes a central processing unit 21, a memory 22 and a communication device 23 ).

In addition, the communication device of the local server 11 can be connected to the external network through a wired or wireless communication, and can perform communication with the central control server unit 20 or perform manager or case investigation It is possible to communicate with an external device such as a portable terminal in the case of a portable terminal, but can be connected through an external device that has been subjected to an authentication procedure such as connection permission in the central control server unit 20, The memory 22 stores data transmitted from the local server unit 10. The memory 22 stores the data transmitted from the central processing unit 21, The data is converted into a DB in accordance with the identification table information provided in the local server unit 10, The ID information of the data and whether or not an event has occurred are recorded. The image stored in the local server unit 11 is converted into a low capacity image, and after the transmission, the changed image and the occurrence / The CCTV divisional management system according to the present invention can also achieve the object of the present invention by providing a CCTV division operating system.

The method of dividing and operating a CCTV using the system of the present invention includes an initial data acquiring step (S10) of acquiring high quality (FULL-HD) moving picture and voice through a video and audio apparatus provided in a local server unit; A data processing step (S20) for converting the initial data acquired in the initial data acquisition step (S10) into a moving image with a discrimination indication and a low image quality; A low-quality image real-time transmission step (S30) in which the identification display is given in the data processing step (S20) and the moving image converted into a low-quality image is transmitted to the central control server unit (20); A data analysis step of checking an event in the local server 11 of the local server unit 10, giving an event identification mark at the time of occurrence of the event, and storing event identification mark information, which is information minimized in the event identification mark (S40); A low quality image storage step (S50) of storing a low quality image streamed and transmitted to the central control server unit (20) in real time in the memory (22) of the central control server unit (20); And the type of event occurrence, occurrence time, and event occurrence for each identification display of the video according to the period set by the user after the low-quality image storage step (S50) is indexed and generated in the local server unit 10, And an index creating and transmitting step (S60) for transmitting the index to the unit (20).

When an event occurs after the DATA analysis step, it is automatically notified to the central control server unit 20. The automatic notification is automatically notified to the central control server unit 20 together with an alarm notifying that it is an emergency, The event notifying step S45 may be further included and the event notifying step S45 may be performed such that the high priority file is firstly transferred from the local server unit 10 to the central control server unit 20, .

The identification mark is time information of the initial DATA of the video and audio obtained in the local server unit 10 and the local server unit 10, And the kind of event is a special matter such as an accident between a target object or an object set by a user through object recognition, thereby achieving the object of the present invention more easily by providing a CCTV division operation method.

By providing the CCTV division operating system and the operating method of the present invention, it is possible to reduce the facility cost for storing high capacity data, to store the data in the local server in a distributed manner, There is an effect that can be increased.

FIG. 1 is a diagram illustrating an application of the CCTV division operating system of the present invention.
2 is a configuration diagram of a CCTV division operating system according to the present invention.
3 is an exemplary diagram illustrating the operation of the CCTV partitioned operating system of the present invention.
4 is a flowchart illustrating an operation method of the CCTV split operating system according to the present invention.
5 is a schematic diagram of a method for classifying objects according to the present invention.
6 is a schematic diagram of a method for recognizing a license plate according to the present invention.
7 is a schematic diagram of a method for classifying vehicles and vehicle colors according to the present invention.
8 is a schematic diagram of an object tracking algorithm according to the present invention.

Hereinafter, the CCTV division operating system of the present invention will be described in detail with reference to the drawings so that those skilled in the art can easily carry out the present invention.

FIG. 1 is a diagram illustrating a CCTV split operating system of the present invention. FIG. 2 is a block diagram of a CCTV split operating system of the present invention. FIG. 3 is a diagram illustrating an operation of a CCTV split operating system of the present invention.

1 to 3, the CCTV segmentation and management system of the present invention stores high-definition video (FULL HD) data, converts the low-definition video into a low-quality video, 20 for real-time display of low-quality moving images transmitted from the local server unit 10 and the local server unit 10, which is a field system for transmitting the image data to the control center 20, And a central control server unit 20 which is a system.

The local server unit 10 includes a local server 11, a remote power controller 12, an image recognition unit 13 and a voice recognition unit 14.

The local server 11 includes a memory, a central processing unit for analysis, and a communication device and a power supply unit.

The communication device can be connected to an external network through a wired or wireless communication. The communication device can perform communication with the central control server unit 20 or can be connected to an external device such as a manager or a portable terminal And the like.

At this time, the central control server unit 20 makes it possible to connect via an external device that has undergone an authentication procedure such as connection permission, so that security matters can be maintained.

In addition, only the information of the section allowed in the authentication procedure among the stored VOD when connecting through the external device can be checked.

Here, the power supply unit of the local server 11 is provided with a constant power supply and an emergency power supply for emergency.

The emergency auxiliary power source device may be a battery or a photovoltaic power generation device.

The remote power controller 12 controls the power of the local server unit 10 in the central control server unit 20 located at a remote location and confirms the operation state at all times by turning on / .

The image recognizing means 13 and the voice recognizing means 14 may be provided respectively or may be integrally provided as a single device.

For example, the means for recognizing an image may be a device such as a camera, the means for recognizing a voice may be a device such as a microphone, and a camera equipped with a microphone It is a typical device.

The central control server unit 20 which controls the local server unit 10 and transmits and receives data is constituted by a central processing unit 21, a memory 22 and a communication unit 23.

The central processing unit 21 classifies data transmitted from the local server unit 10 and controls the system.

Here, the control of the system sets whether or not to operate and the power supply and IP for communication with the local server unit 10. [

The memory 22 stores data transmitted from the local server unit 10 so that the data can be converted into a DB and stored according to the identification table information provided by the central processing unit 21. [

At this time, the information transmitted from the local server unit 10 includes location information according to the area, ID information of the data, whether or not an event has occurred, and the like.

Here, the information stored in the memory 22 is stored for each ID. The image stored in the local server unit 10 is transformed into a low-capacity image, and the transformed image is transmitted. Information such as the occurrence and occurrence time of the event is also stored at the same time.

This is to allow a user or an administrator to easily search for image data when the user searches for image data, and can reduce the time required for searching by allowing the user to recognize the time and the occurrence of an event as an index word.

In addition, this method overcomes the problem of providing a large-capacity storage space for receiving and storing real-time high-quality data, minimizes storage space by transmitting and storing low-capacity data, So that the cost incurred in opening a separate dedicated line for communication can be reduced.

Specifically, when an image of a specific object set by a user or an administrator is recognized, the event is considered to be an un-normal image data. It refers to unusual events such as extortion through.

For example, when the recognized object is a homogeneous object, there may be contact and collision, collision between different species, and contact between specific regions when the object is a person.

The communication device 23 communicates with the local server unit 10 via an external network.

The communication device 23 may be any wired or wireless communication device.

Hereinafter, the CCTV split operation method according to the present invention will be described in detail.

The CCTV segmentation and management method according to the present invention includes an initial data acquisition step S10, a DATA processing step S20, a low quality image real time transmission step S30, a DATA analysis step S40, a low image quality image storage step S50 And an index creation and transmission step S60.

In addition, an event notification step S45 may be further included after the DATA analysis step.

1. In the initial data acquisition step (S10) in the local server unit,

The step of acquiring the initial DATA in the local server unit is to acquire high quality (FULL-HD) moving image and voice through the video and audio apparatus provided in the local server unit.

2. DATA processing step (S20)

Is intended to process the initial DATA acquired in the previous step (S10), and is converted into a moving image with a low image quality.

Herein, the identification mark refers to the location information of the local server unit 10 and the time information of the initial DATA of the video and audio obtained in the local server unit 10.

For example, location information such as a detailed area such as " ○○ city, ○○ city, ○○ address, ○○○○○○○○○○○ "where the local server unit 10 is installed, Month, o'clock, o'clock, o'clock, o'clock - o'clock o'clock "

3. The low-quality image real-time transmission step (S30)

The low-quality image real-time transmission step (S30) is a process in which the identification display is given in the previous step (S20) and the moving image converted into the low-quality image is transmitted to the central control server unit (20).

4. Data analysis step (S40)

In the data analysis step S40, the local server 11 of the local server unit 10 checks an event, gives an event identification mark at the time of event occurrence, and stores event identification mark information .

At this time, the event identification mark information refers to whether or not the event is generated and the kind of event may be a special matter such as an accident between a target object or an object set by the user through object recognition.

The occurrence of such an event refers to an event such as a user-specified object detection or a specific matter such as kidnapping, assault, and a vehicle collision. As a method of distinguishing the events, a proximity speed or a separation speed based on the movement speed between objects is rapidly Or when a physical contact at a specific site is recognized.

For example, the contact of a specific body part such as a face and a hand, a chest and a hand, a hip and a hand is judged, and an occurrence of an event such as an assault or abduction is detected. For example, If the close-up speed is fast, it is judged to be assault. If the close-up speed is low, it is judged to be an abortion.

Also, in the case of a vehicle, it is judged that each object is in contact with each other or that a speed of approach between objects is rapidly proceeding, and it is judged as a special event.

Here, a change in the thickness of the outline line of the object is detected based on the collision or contact between the respective objects, and the determination of the thickness is made.

For example, when a vehicle-to-vehicle contact accident occurs, the thickness of the boundary line of the vehicle is changed. When the line thickness at the interface between the object and the vehicle is compared with the line thickness at the time of contact with the vehicle, And if the vehicle is damaged by an impact such as a collision, the outline is not constant and the damage is judged through the collision.

The object recognition method for classifying such events includes classification of objects, color, minutiae, speed of movement of objects, and direction of movement of objects through classification among objects.

Here, the classification of the object refers to the division of the person and the vehicle, the color refers to the color of the costume worn by the person or the external color of the vehicle, and the characteristic point is the person, , It can be specified through identification of the vehicle number.

It also refers to the moving speed of the object, which grasps the moving speed of a person or vehicle, and the traveling direction of the object.

Here, the classification method of the object through the classification among the objects is performed by calculating the gradients in the image and generating the feature description factors by the distribution of the regional gradients based on the direction of the gradient, and the pedestrian or the vehicle wears Color information according to a garment or color, or a variety of information due to motion.

A feature descriptor is generated by combining the feature values of the specific region of the useful specific feature channel selected through the boosting algorithm with the local feature values of the various feature channels as candidates (refer to FIG. 5).

Also, the method of recognizing the license plate of the vehicle is to extract the license plate area and recognize the license plate using the hippocampal neural network learning (refer to FIG. 6).

In addition, as a method for classifying vehicle types and vehicle colors, a classification method for a specific vehicle type is applied through artificial X-ray neural network based on multiple feature maps (see FIG. 7).

More specifically, in order to classify a vehicle type and color, a characteristic map of the corresponding image is extracted, and the vehicle type and color are classified through comparison with the characteristic map of the type and color of the vehicle inputted by the user.

For example, when the object is a passenger car, the user extracts the feature map from the image of the passenger car the same as the corresponding object, compares the stored information with the feature map of the corresponding object, and identifies the type of the vehicle.

The color of the vehicle is also specified by comparing the feature maps.

In addition, the recognition of the velocity and the direction of the object is performed using the optical flow feature calculation method and the Camshift tracking algorithm method (see FIG. 8).

In more detail, a process of setting an area of the detected object as an ROI (Region Of Interest) as an initial search window (S410), a process of calculating a color histogram of an ROI (S420) (S430) of obtaining the optical flow using the Lucas-Kanade algorithm after extracting only the feature points in the ROI (S430), designating the motion of the feature points as divided into 8 directions (S440) A step S460 of updating the back-projection image by adding more weights and less weight in the other direction (S450), measuring a speed based on the moving distance of the minutiae between the frames and the required time (S460), and updating (S470) in which a moving object is tracked using a CamShift algorithm with a back-projection image obtained in step S470 and a step It preferred to use the algorithm.

5. Low-quality image storage step (S50)

In the low-quality image storage step S50, a low-quality image streamed and transmitted to the central control server unit 20 in real time is stored in the memory 22 of the central control server unit 20. [

6. Index creation and transmission step (S60)

The index creation and transmission step S60 indexes the event occurrence, occurrence time, and event occurrence according to the identification display of the moving picture set by the user in the period, and generates the index in the local server unit 10, (20).

In addition, the event notification step S45 may further include an event notification step S45 after the DATA analysis step. When the event is generated, the event notification step S45 automatically informs the centralized control server unit 20, 10) to the central control server unit 20 in the first place.

Here, the automatic notification is automatically displayed by displaying the alarm image on the central control server unit 20 together with the alarm notifying that the emergency situation is occurring.

10: Local server unit 11: Local server
12: remote power controller 13: image recognition means
14: voice recognition means 20: central control server unit
21: central processing unit 22: memory
23: Communication means

Claims (9)

In a CCTV partitioned operating system,
A local server unit 10, which is a field system for storing high-definition video (FULL HD) data, converting the low-definition video into a low-quality video, and transmitting the converted low-quality video to the real-time central control server unit 20;
And a central control server unit 20 which displays the low-quality moving picture real-time transmitted from the local server unit 10, gives an ID which is an identification means for each time section set by the user, and stores the information, CCTV split operating system.
The method according to claim 1,
The local server unit 10 includes a local server 11 including a memory, a central processing unit for analysis and including a communication device and a power supply unit, a central control server unit 20 located at a remote location, A remote power controller 12 for controlling the power supply of the local server unit 10 to allow the power supply to be turned ON / OFF and checking whether power is supplied or not, a video recognition unit 13, And a recognition means (14)
A central control server unit 20 for controlling the local server unit 10 and transmitting and receiving data is constituted by a central processing unit 21, a memory 22 and a communication unit 23. [ system.
3. The method of claim 2,
The communication device of the local server 11 can be connected to an external network through a wired or wireless network. The communication device can perform communication with the central control server unit 20, It is possible to enable communication with an external device such as a portable terminal, but can be connected through an external device that has undergone an authentication procedure such as connection permission in the central control server unit 20, so that security matters can be maintained, And to allow only the information of the permitted period of the VOD stored in the authentication procedure to be checked during the connection through the VOD.
3. The method of claim 2,
The memory 22 stores data transmitted from the local server unit 10 so that data can be converted into a DB and stored in accordance with the identification table information provided by the central processing unit 21. The local server unit 10, The ID information of the data, and whether the event is generated. The image stored in the local server unit 11 is converted into a low-capacity image, and the ID, And information such as the occurrence of an event and the occurrence time of an event are also stored at the same time.
In a CCTV split operation method,
An initial data acquiring step (S10) of acquiring high quality (FULL-HD) moving picture and voice through a video and audio apparatus provided in a local server unit;
A data processing step (S20) for converting the initial data acquired in the initial data acquisition step (S10) into a moving image with a discrimination indication and a low image quality;
A low-quality image real-time transmission step (S30) in which the identification display is given in the data processing step (S20) and the moving image converted into a low-quality image is transmitted to the central control server unit (20);
A data analysis step of checking an event in the local server 11 of the local server unit 10, giving an event identification mark at the time of occurrence of the event, and storing event identification mark information, which is information minimized in the event identification mark (S40);
A low quality image storage step (S50) of storing a low quality image streamed and transmitted to the central control server unit (20) in real time in the memory (22) of the central control server unit (20); And
After the low-quality image storage step (S50), the type of event occurrence, occurrence time, and event occurrence is index-processed for each identification display of the videos set by the user in the local server unit 10, And transmitting the generated index to the mobile station (20).
6. The method of claim 5,
And automatically notifies the central control server unit 20 when an event occurs after the DATA analysis step. The automatic notification notifies an alarm notifying that it is in an emergency state, automatically expands the corresponding screen, and displays an image on the central control server unit 20 Wherein the event notification step (S45) is further included in the event notification step (S45).
The method according to claim 6,
Wherein the event notification step (S45) first allocates the network so that the high-quality file can be transmitted from the local server unit (10) to the central control server unit (20) first.
6. The method of claim 5,
Wherein the identification information is location information of the local server unit (10) and time information of initial data of the video and audio acquired in the local server unit (10).
6. The method of claim 5,
Wherein the event identification mark information indicates whether an event has occurred and occurred, and the type of the event is a special matter such as an accident between a target object or an object set by a user through object recognition.

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