KR101843889B1 - Intelligent auto tracking system using CCTV - Google Patents

Abstract

The present invention relates to a system for identifying a suspect or a dragon vehicle as soon as an occurrence of an event is detected in a real-time image photographed by a CCTV, and for assisting in tracking and arrest by continuously emitting a laser to a suspect or a dragon vehicle will be.
An intelligent automatic tracking system using CCTV according to the present invention includes a main server for receiving real-time images transmitted from a plurality of CCTVs and CCTVs shooting a designated area, A plurality of laser pointers, and a controller communicating with the main server in one direction and controlling the CCTV and the laser pointer.

Description

[0001] The present invention relates to an intelligent auto tracking system using CCTV,

The present invention relates to a system for tracking a suspect or a vehicle using a CCTV and a laser pointer. More particularly, the present invention relates to a system for detecting a suspect or a dragged vehicle immediately after occurrence of an incident is detected in a real- , A system for assisting tracking and arrest by continually firing lasers on a escaping suspect or a dragon vehicle.

In general, CCTV (Closed Circuit Television) is a device that transmits image information to specific subjects only for specific purposes. In recent years, the amount of installation in various places such as streets and buildings has been increasing.

These CCTVs can be used to obtain substantial crime prevention effects, and even when a crime occurs, video evidence can be collected. CCTV monitoring officers can immediately report the criminals' mobile movements and use them to arrest criminals. However, there is a problem in that a 24-hour control agent always monitors a screen shot by a CCTV in order to recognize an immediate occurrence and arrest a criminal.

As an invention relating to a tracking system and method using CCTV for solving such a problem, Korean Patent Publication No. 10-2012-0095579 entitled " Object Tracking System and Method Using Fixed Camera "and Korean Patent Registration No. 10-1404153 , "Intelligent CCTV Integrated Control System", Korean Patent Registration No. 10-1619953, "Automatic Multiple Tracking Image Processing Method for Surveillance Cameras" has been proposed and disclosed.

Korean Patent Laid-Open Publication No. 10-2012-0095579 entitled " Object Tracking System and Method Using Fixed Camera ", a high-resolution camera is installed in the entrance and exit, and an image that can be discriminated from the object is acquired. In the "intelligent CCTV integrated control system" of Korean Patent Registration No. 10-1404153, the direction and the direction of the problem vehicle are indicated in the captured image. The present invention proposes a system capable of promptly and accurately providing positional information and a current situation for a shooter by automatically predicting and displaying a shooting position, shooting date and time of a problem vehicle, and an image on a screen.

Also, in Korean Patent Registration No. 10-1619953 entitled " Automatic Multiple Tracking Image Processing Method for Surveillance Camera ", the position and movement path of a monitored object are automatically tracked in an image photographed with a camera, And a zooming function can be performed by enlarging each position to perform a pan and tilt function while moving for each divided position, thereby improving the monitoring efficiency.

However, the above-described conventional techniques are limited in that only the function of the vehicle is limited to the tracking of the numbered vehicle or the collection of the image evidence for solving an event, There is a disadvantage in that there is a possibility of causing confusion in the image.

Therefore, even if there is no controller or the controller can not recognize the occurrence of the incident, it can automatically identify the suspect or the driver's vehicle as a tracking target, and provides a visual tracking means to identify the tracking target immediately on site A system that can do this is required.

Korean Patent Publication No. 10-2012-0095579 (2012. 08. 29) Korean Registered Patent No. 10-1404153 (2014. 05. 29) Korean Registered Patent No. 10-1619953 (2016. 05. 03)

The intelligent automatic tracking system using CCTV according to the present invention is a technology proposed to solve the problems of the related art as described above,

If a simultaneous event occurs in several places, the controller who observes the real-time image taken on the CCTV may not immediately recognize the occurrence of the event;

When tracking a suspect or a dragon vehicle, it is difficult to grasp an object to be tracked immediately on the spot only by voice and text instructions. Therefore, the object of the present invention is to provide a solution to this problem.

In order to realize the above object, the intelligent automatic tracking system using CCTV according to the present invention,

A plurality of CCTVs photographing the designated area; A main server for receiving a real-time image transmitted from the CCTV and specifying an event occurrence detection and tracking object; A plurality of laser pointers provided respectively in the plurality of CCTVs; A control unit communicated in one direction with the main server and controlling the CCTV and the laser pointer; And an intelligent automatic tracking system using the CCTV.

The intelligent automatic tracking system using the CCTV according to the present invention,

Since the object and the behavior of the object captured by the CCTV are analyzed and the suspect or the vehicle of the vehicle is automatically identified as the object to be traced, the occurrence of the event is immediately detected even if the event occurs simultaneously in various places;

Since the laser is continuously fired on the suspect or the dragon car, the effect of being able to grasp the target to be tracked instantly occurred in the field.

1 is a system configuration diagram of an intelligent automatic tracking system using CCTV according to the present invention;
2 is a flowchart illustrating a general operation process of an intelligent automatic tracking system using CCTV according to the present invention.
FIG. 3 is a flowchart illustrating a process of detecting and detecting an occurrence of an event of an intelligent automatic tracking system using CCTV according to the present invention.

The present invention relates to a system for tracking a suspect or a dragon vehicle using CCTV and a laser pointer,

A plurality of CCTVs (100) photographing a designated area; A main server 200 for receiving a real time image transmitted from the CCTV 100 and detecting an occurrence occurrence and an object to be tracked; A plurality of laser pointers 300 provided in the plurality of CCTVs 100; A controller 400 communicated in one direction with the main server 200 and controlling the CCTV 100 and the laser pointer 300; And an intelligent automatic tracking system using the CCTV (100).

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

First, as shown in FIG. 1, an intelligent automatic tracking system using a CCTV according to the present invention includes a plurality of CCTVs 100 that photograph a designated area.

The plurality of CCTVs 100 are arranged to photograph each designated area only, and to be able to efficiently monitor or observe all the travel areas within the coverage area as a whole, and to detect a suspect or a dragged vehicle according to the occurrence of an event Enabling immediate response.

Accordingly, in order to perform efficient monitoring or observation within the jurisdiction as a whole, the plurality of CCTVs 100 are excluded from the CCTV set up by the individual for the purpose of crime prevention on their buildings, and CCTVs Limited is preferred.

In this case, each CCTV 100 need not always be composed of the same kind, but it is possible to accurately detect the occurrence of an incident, and to detect a face or a license plate of a dragon vehicle, Resolution and the like are guaranteed.

In addition, the intelligent automatic tracking system using CCTV according to the present invention receives a real-time image transmitted from the CCTV 100 (S100) and stores the received real-time image. The main server 200, which detects an occurrence occurrence S210 and a tracking object S220, (200).

The main server 200 is a component installed in a CCTV integrated control center which integrally controls the plurality of CCTVs 100. The main server 200 receives and realizes all real time images shot in real time from the plurality of CCTVs 100 S110), analyzes the received real-time image to detect the occurrence of an event (S210), and identifies the person or vehicle that generated the event as an object to be tracked (S220).

At this time, the main server 200 stores and simultaneously stores the real-time image transmitted from the CCTV 100 (S110), detects the occurrence of an event (S210) and identifies an object to be tracked (S220) It is desirable to prevent delay in the tracking operation.

Specifically, the main server 200 includes a database 210 in which real time images transmitted from the plurality of CCTVs 100 are stored (S110).

The database 210 stores all the real-time images transmitted from the plurality of CCTVs 100 (S110), thereby collecting image evidence data for proving the crime of the suspect who has generated the event.

Accordingly, it is preferable that the real-time image stored in the database 210 (S110) is configured separately from the real-time image used in the detection of occurrence (S210) and the target of tracking (S220) to prevent damage.

That is, the real time image transmitted from the CCTV 100 is immediately stored (S110) as soon as it is received by the main server 200, and a copy is generated (S111) S220).

The main server 200 includes an entity identification unit 220 for identifying an entity to which motion is captured from the real-time image (S120) and assigning an identification number (S140).

In order to detect the occurrence of an event (S210) and track an object to be tracked (S220) from the real-time image, all entities photographed in the real-time image should be classified into static entities and dynamic entities. And performs a prerequisite operation for detecting the occurrence of the event (S210) and specifying the trace object (S220).

Specifically, the real-time images captured in real time in each of the plurality of CCTVs 100 may be static entities such as houses and buildings, and dynamic entities such as people, animals, and vehicles. Assigns an identification number to all dynamic entities in which the motion is captured in the real-time image (S140) so that each entity can be distinguished from other entities.

Particularly, in the case of a vehicle, it is preferable that the identification number is continuously maintained even if the movement is captured and the identification number is given (S140) or the parking is carried out for a long time.

When an identification number is assigned to a dynamic entity (S140), it is preferable that the identification numbers assigned within the observation range installed and monitored and observed by the plurality of CCTVs 100 are maintained as they are, It is preferable that the assigned identification number is extinguished (S170) if it deviates from the capturing range of the CCTV 100 installed at the outermost one of the plurality of CCTVs 100. [

However, when the dynamic entity to which the identification number is assigned (S140) is temporarily out of the capturing range of the CCTV 100 within the jurisdiction range, the assigned identification number is preferably maintained as it is.

Here, the case where the dynamic entity to which the identification number is assigned (S140) temporarily deviates from the capturing range of the CCTV 100 within the jurisdiction means that the position of each of the plurality of CCTVs 100 is considered , And the dynamic object to which the identification number is assigned (S140) leaves the shooting range due to, for example, entering the inside of the building without leaving the jurisdiction.

In addition, when the dynamic entity to which the identification number is assigned (S140) in the capturing range of the CCTV 100 is deviated, the entity identifying unit 220 detects the presence or absence It is possible to determine whether the same entity is the same by comparing the appearance and behavior of the dynamic entity (S150) with the appearance and behavior of the dynamic entity after re-appearance (S160), and immediately reassign the identification number that was previously granted (S140).

Accordingly, the analyzing unit 230 described below may determine whether a dynamic object to which the identification number is assigned (S140) leaves the capturing range of the CCTV 100, a copy of the real-time image stored in the database 210 (S111), the appearance and behavior of the dynamic entity can be analyzed (S150).

Here, the dynamic entity after re-entry refers to a dynamic entity that is not assigned an identification number (S140) that suddenly appears within the jurisdiction of the CCTV 100 that is monitored or observed by the plurality of CCTVs 100, It may be regarded as having the same meaning as the dynamic entity before the identification number is given (S140) by the entity identification unit 220.

In addition, when the movement of the object captured from the real-time image is out of the normal range, the object identification unit 220 excludes the object from the identification number assignment object (S130).

In the CCTV 100, insects may be caught due to factors such as the quality of CCTV, the distance between a dynamic object and CCTV, and various factors such as leaves and garbage have.

The above elements are preferably provided with an identification number (S140) and are not necessarily managed in the main server 200, so that it is preferable to exclude the identification number from the identification number assignment object (S130).

Specifically, the entity identification unit 220 identifies entities whose motion is out of the normal range among all the dynamic entities captured in the real-time image, and excludes them from the identification number assignment step S140 (S130).

In this case, the motion of the dynamic object is out of the normal range refers to a case where an abnormal motion that is physically difficult to be realized by a person or a vehicle is captured, and a plurality of sudden turning without a decrease in the moving speed can be exemplified .

However, since the entities whose movement is within the normal range among the entities desirably excluded from the identification number assignment object 220 (S130) are not excluded from the identification number assignment object (S130), the entity identification unit 220 identifies the size of all the entities captured in the real-time image, and if the size of the entities is less than the normal range, the entity can be excluded from the identification number assignment object (S130).

That is, all the dynamic entities in which the motion is captured in the CCTV 100 may vary in size from the real-time image according to the respective current positions, and may identify the entity identified uniformly smaller than the normal range, Since it is not desirable to exclude the object image (S130), the object identifying unit 220 may divide the real-time image into a plurality of regions and apply the reference values of the normal ranges differently for each region.

Therefore, even if one object captured in one of the plurality of zones divided by the object identification unit 220 and the other objects captured in another zone have the same size, (S140), and the other entity is identified as having a size smaller than a normal range, and an identification number may not be assigned (S140).

In addition, the main server 200 may include an analyzer 230 analyzing the external appearance and behavior of the entity (S200) and specifying an object to be tracked (S220).

In general, the CCTV integrated control center displays all the images shot in real time on a plurality of CCTVs on each monitor, and the monitoring agent monitors the real time and operates the surveillance system in such a manner as to grasp the occurrence of various incidents such as crime.

However, since the controller does not immediately notify the police agency and the medical institution of the occurrence of all the events in spite of this method, the analyzer 230 analyzes the dynamic object in which the motion is captured from the real- By analyzing the outline and behavior and automatically specifying an object to be tracked (S220), at least one of the identification numbers is specified as a tracking object number.

In this case, it is reasonable that the entity to be analyzed by the analysis unit 230 consists only of the entity to which the identification number is assigned (S140) in the entity identification unit 220.

The analyzing unit 230 analyzes the dynamic images of a plurality of dynamic entities that are captured from the real-time image, and determines whether or not a collision or a contact occurs between the dynamic entities. If bleeding is detected in one entity, it is detected as an occurrence (S210), and an entity distant from the subject in which bleeding occurs can be identified as a tracking object (S220).

In addition, the analyzing unit 230 may determine whether or not a tracking object is to be searched (S220). The analyzing unit 230 may analyze the real-time image, Or when both or more assaults are detected, it is detected as an occurrence of an event (S210), and the individual who has committed the assault can be identified as a subject to be traced (S220).

In addition, the analyzing unit 230 may determine whether or not a tracking object is to be detected (S220). The analyzing unit 230 may determine whether a collision or a contact occurs between the plurality of objects, If an abrupt rate change in the same direction is detected in the plurality of entities, it is detected as an occurrence of an event (S210), and an entity moving away from the event site may be identified as a tracking object (S220).

In addition, as another embodiment in which the analyzing unit 230 specifies an object to be tracked (S220), the analyzing unit 230 determines whether a collision or a contact between a plurality of entities in which motion is captured from the real- If the other object is distant from the collapsed object after the collapse is detected in any one object, it may be detected as an occurrence (S210), and the object moving away from the incident scene may be identified as a tracking object (S220).

The main server 200 determines whether the tracking target is determined in step S220 by the analyzer 230. The analyzing unit 230 determines whether the tracking target is the target of S220, The control center terminal 500 can immediately generate an alarm sound and / or generate a pop-up window so that the controller can immediately recognize the occurrence of an event and an object to be tracked.

If the tracking object is specified in the analysis unit 230 and the identification number given to the tracking object is specified as the tracking object number, the main server 200 controls the controller 400, which will be described below, The identification number specified by the number is transmitted (S230) so that the laser pointer 300 described below can track the object to be tracked.

At this time, the control personnel immediately confirms the scene of the incident scene through the control center terminal 500 described below, so that if the unspecified information is not found, the laser pointer 300, described below, Should be able to be released.

In addition, the intelligent automatic tracking system using CCTV according to the present invention includes a plurality of laser pointers 300 provided in the plurality of CCTVs 100, respectively.

The laser pointer 300 communicates with the CCTV integrated control center that integrally manages the plurality of CCTVs 100 and the field personnel who are dispatched to the field to track the tracked object, As one of the components for solving the problem that it is difficult to grasp the object immediately, one each of the CCTVs is provided, and when necessary, the laser is continuously fired to the tracked object in the capturing range of the CCTV (100).

In order to realize the above effect, the intelligent automatic tracking system using the CCTV according to the present invention includes a controller 400 for communicating with the main server 200 in one direction and controlling the CCTV 100 and the laser pointer 300 ).

The controller 400 is a component for controlling the laser pointer 300 to fire a laser toward an object to be tracked with an identification number matched with a tracking target number transmitted from the main server 200 (S240) The CCTV 100 is simultaneously controlled in addition to the laser pointer 300 so that the laser pointer 300 can accurately fire the laser toward the target to be traced (S240).

The control unit 400 controls the laser pointer 300 so that the CCTV 100 can record the tracking target number in the real time image captured by any one CCTV 100 of the plurality of CCTVs 100, (S140), that is, when an object to be tracked is captured, the firing angle of the laser pointer 300 is adjusted in consideration of the position and the moving speed of the object to be tracked, Ensure that the trace target is reached exactly.

At this time, the color of the laser emitted from the laser pointer 300 is preferably red so as to be immediately recognized without being affected by the weather or the surrounding environment, but is not limited thereto.

The control unit 400 may receive a signal transmitted from the main server 200 to adjust the angle of view of the CCTV 100 and allow the CCTV 100 to enlarge and photograph a specific point have.

In addition, the laser pointer 300 fires a laser at an expected appearance point in accordance with an expected appearance time of the tracking target entering the CCTV 100 photographing range (S240).

As described above, each CCTV 100 captures only a designated area.

Accordingly, the process of escaping from the area where the CCTV 100 is occupied by one CCTV 100 and entering the area occupied by the other CCTV 100 can be continuously repeated. The laser pointer 300 for emitting laser to the tracking object (S240) is continuously changed according to the repetition of the departure and entry processes.

At this time, the intelligent automatic tracking system using the CCTV according to the present invention may be configured such that the control unit 400 receives, from the main server 200, (240) of the plurality of laser pointers (300) stops the laser firing (S240) to the tracking target, and immediately before stopping the other laser pointer So that the pointer 300 can start the laser firing (S240) on the tracking object.

therefore, The main server 200 analyzes a current location and a moving direction of a tracking object appearing in a real time image taken by one of the plurality of CCTVs 100, And an operation unit (240) for predicting a predicted appearance appearance point and a predicted appearance appearance time appearing in the real time image captured by one or more cameras.

In addition, the criminal tracking system may further include a control center terminal 500 capable of bidirectionally communicating with the main server 200 to identify a real-time image and specify an object to be tracked.

The control center terminal 500 is a component which is installed or provided in a CCTV integrated control center for controlling the plurality of CCTVs 100 and is managed and used by the control personnel. (S210) and the occurrence of an event is detected (S210) even though an event has occurred but the analysis unit 230 has not detected (S210) In case of failure, the control personnel shall be able to specify the target of the tracking.

In addition, the control agent can cancel the specification of the tracking object (S220) when it is determined that the tracking object is specified (S220) by the analyzer 230 but there is a problem with the tracking object (S220).

At this time, each of the plurality of CCTV terminals 500 may be allocated with the respective real-time images transmitted from the plurality of CCTVs 100 according to the number of the control personnel, thereby enhancing the surveillance efficiency of the control personnel.

In addition, the intelligent automatic tracking system using CCTV according to the present invention may further include a tracking dron provided in at least one of the plurality of CCTVs 100.

The drones for tracking are bi-directionally communicated with the main server 200 in a bidirectional manner and are traced after taking-off if the analyzing unit 230 identifies an object to be traced. A camera for a drone having the same function, and a laser pointer for a drone having the same function as the laser pointer 300. [

Accordingly, the tracking dron tracks the target to be tracked, and the laser is emitted in the same manner as the CCTV 100 and the laser pointer 300 are driven. However, The communication between the dragon drums and the main server 200 is based on the wireless communication system.

The embodiments described above are provided by way of example for the purpose of enabling a person skilled in the art to sufficiently transfer the technical idea of the present invention to a person skilled in the art, But may be embodied in other forms without limitation.

Further, like reference numerals designate like elements throughout the specification.

100: CCTV 200: main server
210: database 220: object identification unit
230: Analysis section 240: Operation section
300: laser pointer 400:
500: Control center terminal

Claims (7)

A plurality of CCTVs (100) photographing a designated area;
A main server 200 for receiving a real time image transmitted from the CCTV 100 and detecting an occurrence occurrence and an object to be tracked;
A plurality of laser pointers 300 provided in the plurality of CCTVs 100;
A controller 400 communicated in one direction with the main server 200 and controlling the CCTV 100 and the laser pointer 300; , ≪ / RTI >
Wherein the laser pointer (300) continuously fires a laser beam to a tracking object within the CCTV (100) capturing range.
The method according to claim 1,
The main server (200)
A database 210 for storing real time images transmitted from the plurality of CCTVs 100;
An object identification unit 220 for identifying an object to which motion is captured from the real time image and assigning an identification number;
An analysis unit 230 for analyzing the external appearance and behavior of the entity and specifying an object to be traced; Wherein the CCTV system comprises a plurality of cameras.
3. The method of claim 2,
The object identification unit 220 identifies,
Wherein when the movement of the object captured from the real-time image is out of the normal range, the object is excluded from the object of identification number assignment.
The method according to claim 1,
The main server (200)
And a controller for analyzing a current position and a moving direction of a tracking object appearing in a real-time video shot by one of the plurality of CCTVs (100) And an operation unit (240) for predicting a predicted appearance appearance point and a predicted appearance appearance time in the intelligent automatic tracking system using the CCTV.
delete The method according to claim 1,
The laser pointer (300)
And the laser is fired at an expected appearance point according to an expected appearance time of the tracking object entering the CCTV (100) shooting range.
The method according to claim 1,
The intelligent automatic tracking system comprises:
Further comprising a control center terminal (500) capable of bidirectionally communicating with the main server (200) and identifying a real time image and an object to be tracked.

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