KR20130062489A - Device for tracking object and method for operating the same - Google Patents

Abstract

The present invention relates to an object tracking system and a method of operating the same, and to provide an object tracking system and a method of operating the same, which calculates and transmits a PTZ coordinate value to a tracking camera so as to accurately track an object. .
The present invention for achieving the technical problem, the general-purpose camera 10 is installed at a specific point in order to photograph the accident occurrence situation to always photograph the target point; An original image extracting unit 20 for extracting an original image photographed by the general-purpose camera in a stream form; The image processing unit 30 classifies the image of the image extracted by the original image extraction unit 20 into a target object and surrounding objects, recognizes the target object and surrounding objects, and processes the information into a processable data form. ); Recognize the target object by the data transmitted through the image processing unit 30, identify the target object, calculate the distance of the object and the speed of the object to calculate the PTZ coordinate value for tracking the object, A microcomputer 40 for controlling each component; The image processing unit 30 stores data for distinguishing and recognizing the target object and the surrounding object in advance, and provides the pre-stored data through the microcomputer 40 when the target object and the surrounding object are distinguished and recognized. Data server 50; And a dedicated camera 60 which receives a Pizjet (PTZ) coordinate value generated by the microcomputer 40 and continuously tracks and captures a target object of interest. And a control unit.
On the other hand, the operating method of the object tracking system is (a) transmitting the extracted image in the form of a stream through the original image extraction unit 20 by the general-purpose camera; (b) the data of the data tables 51 and 52 of the data server 50 through the microcomputer 40 in the image processing unit 30 that receives the image of the captured image through the original image extracting unit 20. Calling, distinguishing the target object and the surrounding object by the called data, recognizing the target object, converting the image of the target object and the surrounding object into processable data, and transmitting the same to the microcomputer 40; (c) After extracting the data of the target object from the microcomputer 40 that has received the data of the image processing unit 30, the dedicated camera 60 may focus on the target object and continuously track and photograph the target object. Generating and outputting data so as to make the data available; And (d) receiving the data output from the microcomputer 40 from the camera driver 61 so that the dedicated camera 60 continuously focuses on the target object while the peripheral object data other than the target object is removed. The process of performing the shooting while tracking; And a control unit.

Description

Object tracking system and its operation method {DEVICE FOR TRACKING OBJECT AND METHOD FOR OPERATING THE SAME}

The present invention relates to an object tracking system and a method of operating the same, and more particularly, PTZ coordinate values using a distance from an object and an object's speed to accurately track an object using image data received from a general-purpose camera. The present invention relates to an object tracking system and an operation method for precisely calculating an object and tracking the object accurately.

Recently, CCTV cameras for capturing specific images are installed at banks, ATMs, roads, stores, houses, etc. that require security. In addition, it is used to identify and track a person or a vehicle that caused an accident (hereinafter referred to as an accident) such as theft or disaster.

For such object tracking cameras, a number of patents have been published and registered, such as Korean Patent Application No. 10-2009-0131656 (Object tracking method and apparatus using the object tracking mode of the invention) (hereinafter referred to as "prior art"). .

The prior art includes setting an object tracking mode, determining whether an object is suitable for the object tracking mode when an object is detected, and automatically tracking an object suitable for the object tracking mode, wherein the object The tracking mode is characterized by selecting at least one color of an object to be tracked and a type of the object.

CCTV cameras are basically installed to interlock with the object tracking system is as well known. Here, the object tracking system basically has a basic configuration consisting of a recording unit for recording the image taken by the CCTV camera, and a playback unit for reproducing the recorded image.

In general, the object tracking system is a fixed four channel CCTV camera and a dome type speed camera with 360 degree pan and tilt functions to be applied as a security system for identifying and tracking an object in case of an accident. And the electrical and electronic connection with a device for recording and playing back images taken by these cameras.

The object tracking system detects the movement of an object by transmitting the original image in a stream form from a fixed CCTV camera. In this case, the movement of the object is performed using a sensor or the like interoperating with the object tracking system. Thereafter, the dome-shaped tracking camera that receives the image transmitted from the fixed camera is tilted and tracks an object from the received image information.

However, in the conventional object tracking system, when the movement of the object is generated, the object is often not recognized correctly when the image is mixed with a building, a roadside tree, and a vehicle around the object.

In particular, the conventional object tracking system misrepresents visible light reflected shadows or shadows when an object such as a person or a vehicle moves as an object, and outputs a wrong tracking result. And the tracking results were obtained, which exposed the problem of a very low reliability of the system.

In the conventional object tracking system, even when tracking an object, accurate tracking of an object is difficult because it does not accurately calculate and track the coordinate value of the object.

Disclosure of Invention The present invention has been made in view of the above problems, and an object thereof is to provide an object tracking system and a method of operating the same, which calculates and transmits PTZ coordinate values to a tracking camera so that an object can be accurately tracked. .

The present invention for achieving the technical problem, the general-purpose camera 10 is installed at a specific point in order to photograph the accident occurrence situation to always photograph the target point; An original image extracting unit 20 for extracting an original image photographed by the general-purpose camera in a stream form; The image processing unit 30 classifies the image of the image extracted by the original image extraction unit 20 into a target object and surrounding objects, recognizes the target object and surrounding objects, and processes the information into a processable data form. ); Recognize the target object by the data transmitted through the image processing unit 30, identify the target object, calculate the distance of the object and the speed of the object to calculate the PTZ coordinate value for tracking the object, A microcomputer 40 for controlling each component; The image processing unit 30 stores data for distinguishing and recognizing the target object and the surrounding object in advance, and provides the pre-stored data through the microcomputer 40 when the target object and the surrounding object are distinguished and recognized. Data server 50; And a dedicated camera 60 which receives a Pizjet (PTZ) coordinate value generated by the microcomputer 40 and continuously tracks and captures a target object of interest. Characterized in that it comprises a.

Also preferably, the microcomputer 40 uses the installed height h of the general-purpose camera, the internal angle q of the line perpendicular to the general-purpose camera and the ground, and the distance r between the general-purpose camera and the object through [Equation 1]. ) Is calculated.

[Equation 1]

Where r is the distance between the universal camera and the object, h is the installed height of the universal camera, and q is the angle of the line perpendicular to the universal camera and the ground.

Also preferably, the microcomputer 40 calculates the speed of the object using the time interval between the first recognized object and the next recognized object and the first recognized distance and the next recognized distance of the object. .

Also preferably, the microcomputer 40 divides the image data received from the general-purpose camera into a plurality of parts and calculates PTZ coordinate values by using a preset zoom coordinate value for each part. It is characterized by.

Preferably, the data server 50 stores setting data for motion detection, shape detection, biometric, color recognition, and coordinate recognition of the target object so that the image processing unit 30 can distinguish the target object. An object recognition data table 51; Peripheral object data table 52 for storing the setting data for the geographic information, motion detection, shape detection, color recognition, coordinate recognition of the peripheral objects in order to be able to distinguish the peripheral objects in the image processing unit 30; Characterized in that.

On the other hand, the operating method of the object tracking system is (a) transmitting the extracted image in the form of a stream through the original image extraction unit 20 by the general-purpose camera; (b) the data of the data tables 51 and 52 of the data server 50 through the microcomputer 40 in the image processing unit 30 that receives the image of the captured image through the original image extracting unit 20. Calling, distinguishing the target object and the surrounding object by the called data, recognizing the target object, converting the image of the target object and the surrounding object into processable data, and transmitting the same to the microcomputer 40; (c) After extracting the data of the target object from the microcomputer 40 that has received the data of the image processing unit 30, the dedicated camera 60 may focus on the target object and continuously track and photograph the target object. Generating and outputting data so as to make the data available; And (d) receiving the data output from the microcomputer 40 from the camera driver 61 so that the dedicated camera 60 continuously focuses on the target object while the peripheral object data other than the target object is removed. The process of performing the shooting while tracking; Characterized in that it comprises a.

Also preferably, the process (b) may include (b-1) calling the target object data tables 51 and 52 and the peripheral object data table 52 from the data server 50 through the microcomputer 40. step; (b-2) Motion detection, shape detection, biometric recognition, color recognition, coordinate recognition data, geographic information of surrounding objects, motion detection, shape detection of a target object which is preset and stored in the respective data tables 51 and 52 Distinguishing a target object from surrounding objects by applying color recognition and coordinate recognition data to an image of an accident situation transmitted through the original image extraction unit 20; And (b-3) when the target object and the surrounding object are classified, the microcomputer 40 processes the image information obtained by dividing the target object and the surrounding object into data for controlling each component in the microcomputer 40 ( 40); characterized in that it comprises a.

And, preferably, the step (c), (c-1) using the installed height (h) of the general-purpose camera, the general angle camera and the object (q) of the line perpendicular to the ground (Equation 1) through the general camera and the object Calculating a distance r of;

[Equation 1]

Where r is the distance between the universal camera and the object, h is the installed height of the universal camera, and q is the angle of the line perpendicular to the universal camera and the ground.

(c-2) calculating the speed of the object using the distance of the object and the moving time interval of the object calculated in the step (c-1); (C-3) dividing the image data received from the general-purpose camera into a plurality of parts and calculating a PTZ coordinate value by using a preset zoom coordinate value for each part; Characterized in that it comprises a.

According to the present invention as described above, the object is clearly recognized after removing the factor causing the recognition error in the image data, it is effective to accurately track the object by calculating the PTZ coordinate value.

1 is a block diagram of an object tracking system according to an embodiment of the present invention.
2 is a state diagram used in the object tracking system according to an embodiment of the present invention.
3 is an explanatory diagram of distance measurement for object tracking according to an embodiment of the present invention.
4 is an exemplary view for calculating an object tracking coordinate value according to an embodiment of the present invention.
5 is a block diagram of a data server of an object tracking system according to an embodiment of the present invention.
6 is a flow chart of an object tracking system according to an embodiment of the present invention.
7 is a flowchart illustrating an image processing process of an object tracking system according to an exemplary embodiment of the present invention.

Specific features and advantages of the present invention will become more apparent from the following detailed description based on the accompanying drawings. It is to be noted that the detailed description of known functions and constructions related to the present invention is omitted when it is determined that the gist of the present invention may be unnecessarily blurred.

Hereinafter, with reference to the accompanying drawings will be described in detail the present invention.

1 is a block diagram of an object tracking system according to an embodiment of the present invention. As shown, the object tracking system according to the present invention includes a general-purpose camera 10, an original image extraction unit 20, It includes an image processing unit 30, a microcomputer 40, a data server 50, a tracking camera 60.

The object 1 may be an object that may cause harm to a security system such as a person, a car, and the like, which are mainly interested in the security system.

The general-purpose camera 10 is installed at a specific point in order to photograph the accident situation is applied as a multi-channel CCTV camera to always photograph the target point. In this case, the general-purpose camera 10 may utilize a CCTV camera pre-installed in each district or may install a separate CCTV camera.

In addition, the original image extraction unit 20 is an image processing circuit configuration for extracting and transmitting in the form of a plurality of images by streaming the original image photographed on the general-purpose camera 10 when an accident occurs.

Here, the universal camera 10 and the original image extraction unit 20 is installed in the field, such a general camera 10 and the original image extraction unit 20 is generally installed on a single case.

The image processing unit 30 is a configuration for processing the image transmitted from the original image extraction unit 20. The image processing unit 30 divides the image of the image extracted by the original image extracting unit 20 into a target object and surrounding objects, and recognizes the target object and surrounding objects to process these information, respectively. It is processed into.

That is, the image processing unit 30 is installed in a control station for managing CCTV cameras installed in the field is configured to interlock with the microcomputer 40.

The microcomputer 40 is a configuration such as a controller for controlling the overall configuration of the object tracking system. Such a microcomputer 40 recognizes the target object by the data transmitted through the image processing unit 30 and generates a PTZ coordinate value, which is data for identifying and tracking the target object, to be transmitted to the tracking camera 60. do.

The microcomputer 40 calculates PTZ coordinate values using the distance between the general-purpose camera 10 and the object 1 and the speed of the object 1. As shown in FIG. 2, the microcomputer 40 uses the installed height h of the general-purpose camera 10, the general-purpose camera 10, and an internal angle q of a line perpendicular to the ground. The distance r between the camera 10 and the object 1 is calculated.

[Equation 1]

Here, r is the distance between the general-purpose camera 10 and the object 1, h is the installed height of the general-purpose camera 10, q is the angle of the line perpendicular to the general-purpose camera 10 and the ground.

Here, the distance r between the general-purpose camera 10 and the object 1 divides the screen of the general-purpose camera 10 into a predetermined size as shown in FIG. 4 and sets the distance for each part to measure the distance.

In addition, referring to FIG. 3, the microcomputer 40 may calculate the speed of the object 1 by using a time interval of the next recognized object 1 ′ at regular intervals from the first recognized object 1. have.

[Equation 2]

Where v is the speed of the object 1, r1 is the distance of the first recognized object 1, r2 is the distance of the next recognized object 1 ', t is the first recognized object 1 and the next recognized object It is a time interval of (1 ').

In order to calculate PTZ coordinate values, the rotation angle per horizontal pixel and the rotation angle per vertical pixel must be set in advance. In this case, since the resolution varies depending on the type of the general-purpose camera 10, the rotation angle per horizontal pixel can be obtained using [Equation 3] using the resolution of the general-purpose camera 10 to be used, and the rotation angle per vertical pixel. Can be obtained using Equation 4.

[Equation 3]

[Equation 4]

Here, Q _x is a rotation angle per horizontal pixel, Q _y is a rotation angle per vertical pixel, P _x is a horizontal pixel number of the general-purpose camera 10, and P _y is a vertical pixel number of the general-purpose camera 10.

The PTZ coordinate value should be calculated with three coordinate values for Pan, Tilt and Zoom, and the pan coordinate value is calculated using [Equation 5], and the tilt coordinate value Is calculated using [Equation 6].

[Equation 5]

[Equation 6]

Where D _x is the pan coordinate value, S _x is the initial set pan coordinate value, Q _x is the rotation angle per horizontal pixel, E _x is the pan coordinate value of the recognized object (1), v _x is the horizontal velocity, D _y is the tilt coordinate value, S _y is the initially set tilt coordinate value, Q _y is the rotation angle per vertical pixel, E _y is the tilt coordinate value of the recognized object (1), v _y is the vertical velocity, a and b are Is a constant.

The zoom coordinate value is divided into equal parts as shown in FIG. 4, and the zoom magnification is set for each part in advance so that the zoom of the camera is maximized when the object 1 is captured in the part farthest from the camera shooting direction. When the object 1 is captured close to the camera, the zoom of the camera is reduced. In this case, a preset zoom ratio may be changed according to a location and a situation where the tracking camera 60 is installed.

The microcomputer 40 transmits the PTZ coordinate values calculated by the above-described method to the tracking camera using wired or wireless communication.

FIG. 5 is a block diagram of a data server of an object tracking system according to the present invention. The data server 50, as illustrated, sets data for distinguishing and recognizing target objects and surrounding objects in the image processing unit 30. As shown in FIG. Is stored in advance and configured. In particular, the data server 50 may provide pre-stored data through the microcomputer 40 when the target object and the surrounding object are distinguished and recognized.

The data server 50 is divided into two types of data. That is, the data of the data server 50 is divided into an object recognition data table 51 and a peripheral object data table 52 for recognizing a target object of interest.

The object recognition data table 51 is configured to store the setting data for motion detection, shape detection, biometric, color recognition, coordinate recognition of the target object so that the image processing unit 30 can distinguish the target object. do.

At this time, the motion detection of the target object is the setting data for the object for which the motion per frame of the image is detected, the formation detection of the shape of the object, that is, the vehicle or motorcycle, etc. , The setting data for recognizing the license plate of the vehicle. In addition, biometric recognition is setting data for recognizing the eyes, nose, mouth, etc. based on the characteristic points of the human body, in particular, the face of the human body, and color recognition is optional and setting data for recognizing the color by the wavelength of visible light. .

The peripheral object data table 52 is configured to store the setting data for the geographic information, motion detection, shape detection, color recognition, coordinate recognition of the peripheral objects so that the image processing unit 30 can distinguish the peripheral objects. do.

At this time, the geographic information of the surrounding objects is the setting data for the terrain, the feature, etc. of the preset area, and the motion detection, shape detection, color recognition, etc. correspond to the above-mentioned setting data of the target object.

In particular, the coordinate recognition that should be commonly recognized is a virtual spatial coordinate in the image photographed by each camera (10, 60), or in particular the position of the moving object and the surrounding object by the coordinates of the region in conjunction with the geographic information, etc. I can figure it out.

The tracking camera 60 is for continuously tracking and photographing the object 1, and can be rotated, and has a zoom function. In this case, the tracking camera 60 may have a difference in the angles of the front and rear, left and right rotations and the degree of the zooming function according to the type. However, in general, the tracking camera 60 uses PTZ coordinate values, and the PTZ coordinate values are pan, tilt and zoom. Pan coordinate value is a coordinate for rotating left and right on the horizontal axis, and generally has a coordinate value of 0 to 360 degrees, and a tilt coordinate value is a coordinate for rotating back and forth on the vertical axis. With a coordinate value of 0 degrees to 360 degrees, the zoom value is for optically enlarging and photographing the object 1, and can be generally enlarged up to 30 times according to the performance of the tracking camera 60.

Such a tracking camera 60 may also utilize a CCTV camera pre-installed in each jurisdiction as in the above-described universal camera 10, or may install a separate CCTV camera.

In particular, the general-purpose camera 10 and the tracking camera 60 may be installed in a single and merged, only in this embodiment separated to distinguish the functions of the general-purpose camera 10 and the tracking camera 60. Note that the examples are in form. In this case, it is preferable that the unitary camera is applied in the form of a driving camera having a function of the above-described pan and tilt.

In addition to the above configuration, the object tracking system is further configured with the configuration of the compression unit 70, the communication module 80, the monitor by converting the data output through the above-described microcomputer 40 to an image again (Administrator of the control station) may be further provided with a control server 90, and the output device 100, such as LCD, LED panel, printer to confirm the confirmation and tracking of the target object.

The compression unit 70 compresses the data output from the microcomputer 40 to a standardized standard so as to transmit the data output from the microcomputer 40 to the output device 100 for allowing the monitor to check the target object and confirm the tracking image. It is for the configuration.

The communication module 80 is a configuration for transmitting the data compressed through the microcomputer 40 or the compression unit 70 to the output device 100 for allowing the monitor to check the target object and the tracking image. .

Hereinafter, an operation process and effects according to an embodiment of the object tracking system will be described.

FIG. 6 is a flowchart of an object tracking system according to an embodiment of the present invention. Referring to the drawings, the process of operating the object tracking system may be performed such as theft, accident or fire of cash or various valuables in the area where the system is installed. When an event such as a disaster occurs (S10), the captured image of the incident scene is transmitted through the original image extractor 20 by the general-purpose camera 10 near the incident occurrence scene. S20)

Thereafter, the image processing unit 30 receives the image of the captured image through the original image extraction unit 20, and the data of each of the data tables 51 and 52 of the data server 50 through the microcomputer 40. It is called (S30).

When the called data is loaded as described above, the image processing unit 30 classifies the target object and the surrounding object by the called data, recognizes the target object, and then processes the image of the target object and the surrounding object as data that can be processed. The converted information is transmitted to the microcomputer 40. (S40)

7 is a flowchart of an image processing process of an object tracking system according to an exemplary embodiment of the present invention. Referring to the drawings, in order to process the image by the image processing unit 30, the target object data table 51 and the peripheral object data table 52 are called by the data server 50 through the microcomputer 40. (S41)

Thereafter, the image processing unit 30 sets motion detection, shape detection, biometric, color recognition, coordinate recognition data, and geographic information of surrounding objects and motions of the target object which is preset and stored in each data table 51 and 52. Sense, shape detection, color recognition, coordinate recognition data is applied to the image of the accident situation transmitted through the original image extraction unit 20 to distinguish between the object and the surrounding object (S42).

In this case, motion detection, shape detection, biometric, color recognition, coordinate recognition, etc. of the target object such as the criminal or the vehicle that caused the incident are as described above. Therefore, the target object can be recognized more clearly.

When the target object and the surrounding object are separated, the image information obtained by dividing the target object and the surrounding object is processed into data for controlling each component in the microcomputer 40 (S43) to the microcomputer 40. It is to be transmitted (S44).

Here, the processed data is processed into an optimum signal for controlling each object tracking configuration by the microcomputer 40 in the form of binary code, pulse, and the like.

When the data of the image processing unit 30 is received by the microcomputer 40 as described above, the microcomputer 40 extracts the data of the target object (S50) and then the tracking camera 60 focuses on the target object. It generates and outputs data for continuously tracking and photographing the target object.

The microcomputer 40 receives image data from the general-purpose camera 10 to determine whether the object 1 is a tracking object 1 such as a person or a car, recognizes the object 1, and installs a preset height of the general-purpose camera, The distance of the object 1 is calculated using the general camera 10 and the angle of the line perpendicular to the ground, and the object 1 is obtained by using the calculated distance of the object 1 and the moving time interval of the object 1. Calculate the velocity of and calculate the PZJT coordinate value of the object 1 using the calculated velocity of the object 1.

Specifically, if the number of horizontal pixels of the general-purpose camera 10 is 720 pixels, and the number of vertical pixels of the general-purpose camera 10 is 480 pixels, the rotation angle per horizontal pixel is 12.5 degrees and the vertical pixel by [Equation 3] and [Equation 4]. The angle of rotation per turn is set to 9.38 degrees.

The distance to the object 1 is calculated using Equation 1, and the distance to the first recognized object 1 is 102 m (meters), the PTZ center point of the object 1 is (360, 100), 0.5 If the distance from the next recognized object 1 'is 100m (meters) and the PTZ center point of the object 1' is (360, 300) with a time interval of seconds, the speed of the object 1 is [Equation 2] Calculated using, it is calculated as 14.4 km / h.

Next, to calculate the PTZ coordinate value, using [Equation 5] and [Equation 6], the pan coordinate value is 45 degrees, and the tilt coordinate value is 35.34 degrees. The zoom coordinate value is calculated as 2x zoom using the set zoom factor. In addition, the microcomputer 40 transmits the PTZ coordinate value including information on the pan, tilt, and zoom coordinate values to the tracking camera 60. Accordingly, the tracking camera 60 can accurately track the object 1 by receiving the PTZ coordinate values continuously from the microcomputer 40.

Thereafter, the data output from the microcomputer 40 is received by the camera driver 61 so that the tracking camera 60 continuously tracks the target object while focusing on the target object in a state where the peripheral object data other than the target object is removed. And the shooting can be performed. (S70)

At this time, the removal of the surrounding object data is to remove the possibility of mistaken and confusing the target object by overlapping with the target object in the moving path of the target object, thereby identifying and confirming the target object more clearly. And track.

In addition, the data generated by the microcomputer 40 is transmitted through the compression unit 70 to transmit to the output device 100 for the detector to check the target object and the tracking image to the monitor The data is compressed to a standardized standard. (S80)

Thereafter, the data compressed through the microcomputer 40 or the compression unit 70 may be wired or wirelessly used as an output device 100 for allowing a monitor to check a target object and track image through the communication module 80. By sending it, the supervisor can check the tracking process at the control station. (S90)

In addition, a case in which the target object deviates from the shooting limit may occur in the general purpose or tracking camera 60 installed in a plurality of areas set during the operation of the object tracking system.

To this end, the microcomputer 40 checks the movement path of the target object tracked by the general purpose or tracking camera 60, and checks the movement path of the target object by another general purpose or tracking camera 60 installed on the path to which the target object has moved. Confirmation and tracking can be performed continuously.

The present invention can be embodied as computer readable codes on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, hard disk, optical data storage, and the like, which are implemented in the form of a carrier wave such as transmission over the Internet. It also includes. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

While the present invention has been particularly shown and described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It will be appreciated by those skilled in the art that numerous changes and modifications may be made without departing from the invention. Accordingly, all such appropriate modifications and changes, and equivalents thereof, should be regarded as within the scope of the present invention.

1: Object 10: General purpose camera
20: Original image extraction unit 30: Image processing unit
40: microcomputer 50: data server
60: tracking camera 70: compression unit
80: communication module 90: control server
100: output device

Claims (8)

A general-purpose camera 10 installed at a specific point to photograph an accident situation at all times to photograph the target point at all times;
An original image extracting unit 20 for extracting an original image photographed by the general-purpose camera in a stream form;
The image processing unit 30 classifies the image of the image extracted by the original image extraction unit 20 into a target object and surrounding objects, recognizes the target object and surrounding objects, and processes the information into a processable data form. );
Recognize the target object by the data transmitted through the image processing unit 30, identify the target object, calculate the distance of the object and the speed of the object to calculate the PTZ coordinate value for tracking the object, A microcomputer 40 for controlling each component;
The image processing unit 30 stores data for distinguishing and recognizing the target object and the surrounding object in advance, and provides the pre-stored data through the microcomputer 40 when the target object and the surrounding object are distinguished and recognized. Data server 50; And
A dedicated camera 60 which receives the PTZ coordinate value generated by the microcomputer 40 and continuously tracks and captures a target object of interest; Object tracking system comprising a.
The method of claim 1,
The microcomputer 40,
An object tracking system comprising calculating the distance (r) of a general-purpose camera and an object by using [Equation 1] using the installed height (h) of the general-purpose camera and the internal angle (q) of a line perpendicular to the general-purpose camera and the ground.
[Equation 1]

Where r is the distance between the universal camera and the object, h is the installed height of the universal camera, and q is the angle of the line perpendicular to the universal camera and the ground.
The method of claim 1,
The microcomputer 40,
An object tracking system, comprising calculating a speed of an object using a time interval between a first recognized object and a next recognized object, and using the first recognized distance and the next recognized distance of the object.

The method of claim 1,
The microcomputer 40,
And dividing the image data received from the general-purpose camera into a plurality of parts to calculate PTZ coordinate values by using a preset zoom coordinate value for each part.
The method of claim 1, wherein the data server 50 is set to the motion detection, shape detection, biometrics, color recognition, coordinate recognition of the target object in order to be able to distinguish the target object in the image processing unit 30 An object recognition data table 51 respectively stored;
Peripheral object data table 52 for storing the setting data for the geographic information, motion detection, shape detection, color recognition, coordinate recognition of the peripheral objects in order to be able to distinguish the peripheral objects in the image processing unit 30; Object tracking system, characterized in that.
(a) transmitting the extracted image in the form of a stream through the original image extracting unit 20 by the general-purpose camera;
(b) the data of the data tables 51 and 52 of the data server 50 through the microcomputer 40 in the image processing unit 30 that receives the image of the captured image through the original image extracting unit 20. Calling, distinguishing the target object and the surrounding object by the called data, recognizing the target object, converting the image of the target object and the surrounding object into processable data, and transmitting the same to the microcomputer 40;
(c) After extracting the data of the target object from the microcomputer 40 that has received the data of the image processing unit 30, the dedicated camera 60 may focus on the target object and continuously track and photograph the target object. Generating and outputting data so as to make the data available; And
(d) The data output from the microcomputer 40 is received by the camera driver 61 so that the dedicated camera 60 continuously focuses on the target object while the peripheral object data other than the target object is removed. Performing the shooting while tracking; Operating method of the object tracking system comprising a.
The method according to claim 6,
The step (b)
(b-1) calling the target object data tables 51 and 52 and the peripheral object data table 52 from the data server 50 through the microcomputer 40;
(b-2) Motion detection, shape detection, biometric recognition, color recognition, coordinate recognition data, geographic information of surrounding objects, motion detection, shape detection of a target object which is preset and stored in the respective data tables 51 and 52 Distinguishing a target object from surrounding objects by applying color recognition and coordinate recognition data to an image of an accident situation transmitted through the original image extraction unit 20; And
(b-3) When the target object and the surrounding object are distinguished, the microcomputer 40 is processed by processing the image information obtained by dividing the target object and the surrounding object into data for controlling each component in the microcomputer 40. And transmitting to).
The method according to claim 6,
The step (c)
(c-1) calculating a distance r between the universal camera and the object by using Equation 1 using the installed height h of the general-purpose camera and the angle q of the line perpendicular to the general-purpose camera and the ground;
[Equation 1]

Where r is the distance between the universal camera and the object, h is the installed height of the universal camera, and q is the angle of the line perpendicular to the universal camera and the ground.
(c-2) calculating the speed of the object using the distance of the object and the moving time interval of the object calculated in the step (c-1); And
(c-3) dividing the image data received from the general-purpose camera into a plurality of parts and calculating a PTZ coordinate value by using a preset zoom coordinate value for each part. Operating method of object tracking system.

Images