KR101385798B1 - System for lost article chase - Google Patents

Abstract

The present invention relates to a system for tracing a lost article and includes: a plurality of cameras which are distributively installed in each monitoring region for photographing the each monitoring region; and an integrated control center which is connected through the cameras and a communication network for collecting photographed images photographed by the each camera. The integrated control center comprises: an image database for storing photographed images transmitted from the each camera through the communication; and a vehicle detection module for detecting a corresponding public transport vehicle from the photographed images stored in the image database based on received lost article report information when receiving the lost article report information for a lost article which is left in the public transport vehicle. Therefore, the finding the lost article left in a public transport vehicle such as a taxi or a bus is possible using an image photographed by CCTV or et cetera. [Reference numerals] (200) Integrated control center; (AA,BB) Communication network

Description

Lost and Found Tracking System {SYSTEM FOR LOST ARTICLE CHASE}

The present invention relates to a lost and found tracking system, and more particularly, to a lost and lost tracking system that can find lost and found in a public transport vehicle such as a taxi or a bus, by using a captured image taken from a camera such as a CCTV. .

In recent years, local government offices and related organizations have provided various services that suit local characteristics by using CCTV in various fields such as security, disaster monitoring, and transportation. In addition to real-time monitoring, the use of video data obtained through CCTV is used as a means of securing evidence of various accidents.

By the way, CCTV images operated and managed by local governments for the purpose of providing services for the public interest are managed separately by related agencies or departments, so that overlapping information collection occurs in specific areas or some areas are excluded from public service benefits. Sometimes. Therefore, in order to secure a cooperative system through the efficiency of management and sharing of collected information, certain local governments may manage traffic, crime prevention, disaster, disaster and facility management in one system.

On the other hand, due to the rapid increase in passenger cars, the use of public transportation is strongly recommended in order to prevent urban congestion and environmental pollution. As part of these efforts, more and more organizations are carrying out the day system, 10 sub-systems, etc.In order to promote the use of public transportation, increasing the number of vehicles and reorganizing the routes gradually with various subsidies such as subsidies for operation of public transportation. It is increasing.

However, as a problem of public transportation, if you leave your belongings in public transportation while using public transportation, it is difficult to find such lost items again. For example, in the case of a taxi, passengers do not know enough information about the vehicle, even if lost, even if the lost information about the taxi company or license number is very likely to recover the lost. low. In the case of buses, the bus route numbers are often more familiar with, and there are not many companies operating the lines, so it is more likely to find lost items, but it is not easy to recover lost items as expected due to lack of information about the vehicle. to be.

In Korea Patent Publication No. 10-2011-0133930 proposed to solve such a problem, lost goods reported and acquired using a mobile phone (published on December 14, 2011), the Lost and Found lost in public transportation is provided by the Integrated Lost and Found Center. It is confirmed that the acquired materials are registered by using a mobile phone, and the technology for reporting and reacquiring lost items is disclosed, but the prior art document receives information on the public transportation and lost items in which the lost items occurred and matches the lost items sent to the integrated lost and found center. If you do not resent, if not sent to the Integrated Lost and Found, there is a problem that active reacquisition of the lost is difficult, so the situation is required to more easily re-acquire the lost.

The present invention has been made to solve the above problems, integrated management of various images collected by using CCTV to prevent and manage the overlapping investment between the relevant institutions to realize a reduction in facility costs and at the same time based on CCTV video footage Therefore, the possibility of reacquisition of lost items caused by the use of public transportation should be increased.

In addition, an object of the present invention is to provide a lost and found tracking system that can easily detect a mass transit vehicle in which lost items occur even if the user lacks information on the lost or lost public transport vehicle.

According to the present invention, there is provided a plurality of cameras distributed in each of the surveillance zones to photograph the surveillance zones; An integrated control center connected to the plurality of cameras through a communication network to collect the captured images photographed by the respective cameras; The integrated control center may include an image database in which photographed images transmitted from each camera are stored through the communication network, and a lost object left in a public transportation vehicle, including a boarding point, a boarding time, a dropping point, and a dropping time of a public transportation vehicle. And when the lost goods report information is received, detecting a corresponding public transportation vehicle from the captured images stored in the image database based on the received lost items report information. The vehicle detection module identifies whether a taxi tower is present in a vehicle of the captured image stored in the image database, and detects the presence of a taxi tower as a public transportation vehicle; The public transport vehicle included in both sides of the image photographed by the camera of the position corresponding to the boarding point, with reference to the captured image having time information corresponding to the boarding time, and the captured image having time information corresponding to the boarding point. It can be achieved by the lost and lost tracking system for detecting the as a query target vehicle.

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Here, the vehicle detection module includes a text identification module for identifying numbers or letters in the photographed image; The text identification module may detect the inquiry target vehicle based on the vehicle number identified from the photographed image by the text identification module.

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The vehicle detection module may further include a vehicle inquiry module that displays and displays a vehicle number of the inquiry target vehicle.

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In addition, the lost property report information further includes the color information of the public transportation vehicle where the lost and found; The vehicle detection module further includes a color identification module for identifying a color of the vehicle in the captured image; It is also possible to detect a public transport vehicle in which the color of the vehicle identified in the captured image of the inquiry target vehicle and the color information match.

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In addition, the integrated control center further includes a reception server connected to the communication network to be connected through the user terminal; The reception server receives the lost goods report information from the user terminal connected to the reception server and transmits the lost goods report information to the vehicle detection module; The vehicle detection module may detect a public transportation vehicle based on the lost and found notification information.

The vehicle detection module may further include an operation screen for outputting a tracking result of the detected vehicle; and the vehicle detection module may be operated by outputting a list of detection vehicles that match the lost property report information and owner information of the detection vehicle. have.
According to a second embodiment of the present invention, there is provided a plurality of cameras distributed in each of the surveillance zones to photograph the surveillance zones; An integrated control center connected to the plurality of cameras through a communication network to collect the captured images photographed by the respective cameras; The integrated control center may include an image database in which photographed images transmitted from each camera are stored through the communication network, and a lost object left in a public transportation vehicle, including a boarding point, a boarding time, a dropping point, and a dropping time of a public transportation vehicle. And when the lost goods report information is received, detecting a corresponding public transportation vehicle from the captured images stored in the image database based on the received lost items report information. The vehicle detection module identifies the presence or absence of a vehicle route number portion in the vehicle of the captured image stored in the image database, and if it is identified that the route number portion exists, detects it as a public transportation vehicle; The public transport vehicle included in both sides of the image photographed by the camera of the position corresponding to the boarding point, with reference to the captured image having time information corresponding to the boarding time, and the captured image having time information corresponding to the boarding point. It can also be achieved by a lost and found tracking system that detects the vehicle as an inquiry target vehicle.

According to the present invention according to the configuration as described above, by using the captured images collected in the integrated control center for the integrated management of CCTV images, the minimum cost that can be incurred in building the system to reacquire lost things occurred during the use of public transportation means Can be lowered.

In addition, since the lost and lost tracking system is built in the integrated control center that integrates and manages the captured images, it is possible to provide an optimized service for the lost and lost tracking system that requires quick access to the captured images.

Even if there is insufficient information on the vehicle where the lost item occurred, the relevant vehicle can be detected through the approximate time of the vehicle's boarding point, the unloading place, and the occurrence of the lost item. Can be.

In addition, lost goods reporter through the reception server can be reported using the communication network lost and found lost, convenience and speed can be secured.

In addition, it is possible to carry out the lost and missing report and the vehicle detection process for the tracking of lost and found through automation to ensure fast and reliable, it is possible to provide a lost and lost tracking service with a minimum number of people.

1 is a block diagram of a lost and found tracking system according to an embodiment of the present invention.
2 is a diagram showing an example of the configuration of an integrated control center according to the present invention.
3 is an exemplary view of a taxi in which a taxi tower or the like is installed.
4 is an exemplary view of a bus provided with a vehicle route number book.
5 is a flowchart illustrating a vehicle detection process in a lost property tracking system.

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

Lost and found tracking system according to the present invention is to enable the detection of the vehicle that lost and found to be able to re-acquire the lost and lost occurred during the use of public transportation by using the images taken in a number of monitoring areas.

1 is a block diagram of a lost and found tracking system according to an embodiment of the present invention, and includes a plurality of cameras 100 and an integrated control center 200 as shown.

The camera 100 collects various image information and is installed at a position where surveillance monitoring and image capturing are easy according to a specific purpose. It is distributedly installed to monitor to prevent crackdowns, illegal crimes, and various disasters of illegally parked vehicles, and always records images and transmits the captured images to the integrated control center 200 through a communication network connected to the integrated control center 200. To be prepared. As will be described later, in the present invention, since identification of color or text is required in the photographed image for identification and detection of a transit vehicle in which a lost property is generated, the camera 100 may include the color of the vehicle, the number of the license plate, the text written on the vehicle, and the like. To be able to identify, the camera 100 is installed with a performance of a certain resolution or more.

The integrated control center 200 receives and monitors captured images from the cameras 100 distributed in respective places, and stores and manages the captured images as a database to provide various services for the public interest. In the present invention, in response to the reporter's receipt of lost and found items, the corresponding public transportation vehicle is detected and handled with information according to the lost and found situation so as to assist in the reacquisition of the missing items.

2 is a diagram illustrating an example of a configuration of an integrated control center according to the present invention. Referring to this, the integrated control center 200 will be described in detail. The integrated control center 200 includes an image database 240 and a vehicle detection module. 220. The integrated control center 200 receives an image from the camera 100 and stores the image in the image database 240. The image database 240 stores the captured images received from each of the cameras 100 that are distributed and installed, and is individually stored in consideration of the unique number of each camera 100 or the installed position, and the stored positions are integrated control. It is determined by the integrated control unit 210 provided in the center 200. The integrated control unit 210 may access and inquire the captured image managed by the integrated control center 200, or may operate the various devices included in the integrated control center 200 and storage location management of the received image. For example, control via an operating PC equipped with an integrated management program. In this case, when the captured image received from the camera 100 is received in the form of a photographic image, the integrated control unit 210 may store the captured images in the order of time in which the captured images are transmitted in order to facilitate later image checking.

When the vehicle detection module 220 receives the report information about the lost object generated during the use of the public transportation vehicle, the vehicle detection module 220 checks the lost object report information received by the integrated controller 210 and stores the captured image stored in the image database 240 based on the report. To detect the corresponding public transport vehicle. The vehicle detection module 220 searches the image database 240 to automatically detect an image matching the report information to maintain the speed and accuracy of the detection.

Here, the lost property report information basically required for vehicle detection is information on a boarding point, a boarding time, a boarding point, and a boarding time. Although it is impossible to detect the vehicle at all, it is considered that the detection possibility of the reported vehicle is very low when there is no additional filtering condition due to the large amount of captured image data in the urban area with heavy traffic.

In order to inquire the target vehicle by using the boarding and disembarkation location of the lost property report information and the time, the image database 240 stores the installed location information and the photographed time information of each camera 100. Then, the vehicle detection module 220 refers to the photographed image of the boarding time and the photographed image of the disembarkation time received from the photographed images sequentially stored in the image database 240 as lost object report information. In the image database 240, a region in which a photographed image of a camera installed at a place adjacent to a boarding point is stored, and a region in which a photographed image of a camera installed at a place adjacent to a getting off point are stored, are referred to as a reference object.

 Since the image database 240 stores the captured image individually according to the installed position of each camera 100 or the position information based on the unique number assigned to each camera, the boarding and getting off location information and time information on the lost goods report information. If is given, it is possible to set the range of the image database 240 to be referred to.

When the region of the image database 240 to be referred to is determined, the vehicle detection module 220 generates a vehicle list by identifying the vehicle number from the photographed image of the camera 100 corresponding to each of the boarding point and the getting off point, The vehicle list corresponding to the location is compared with the vehicle list corresponding to the getting off point, and the vehicle photographed at both positions is detected and processed.

As an example of setting the detection section based on the actual lost and found information, if a passenger traveled by taxi from Jongno Intersection to Guro Station, and received the lost / loss report information about 10 o'clock and arrival time about 11 o'clock, In the image database area where the captured image of the camera 100 installed near the crossroad is stored, a vehicle list is generated by referring to the image of the public transportation vehicle photographed around 10 o'clock, and the captured image of the camera 100 'installed near the Guro station is stored. The vehicle list is generated by referring to the image of the public transportation vehicle photographed around 11 o'clock in the image database area. Thereafter, the vehicles included in both lists are detected as the inquiry target vehicle.

As such, when the location information and time information are included in the image database 240, only the public transportation vehicles having the same location and time included in the lost property report information are searched for, thereby greatly reducing the number of vehicles to be searched.

By the way, in the above-described vehicle detection example, it is not a problem because the camera 100 is installed at the boarding point and the unloading point, but when the camera 100 is not installed at the positions of the boarding point and the unloading point, the boarding point and the unloading point, respectively. Since the image taken from the camera 100 installed at a position adjacent to the reference should be referred to, the captured images of several cameras adjacent to the received boarding and discharging destinations are referred to as targets. In detecting a vehicle, when a reference is made to a plurality of adjacent cameras, the probability of missing the vehicle of the lost object report information from the detection object becomes low.

The integrated control center 200 includes a text identification module 222 for identifying a number or a character in a captured image and a vehicle inquiry for inquiring vehicle registration information by the vehicle number in order to identify the vehicle number and inquire the detected vehicle. Module 223 is further included.

The text identification module 222 is used as a means for identifying a vehicle number in the photographed image to generate a list of vehicles at the boarding point and the unloading point. It can be used for inquiry or provided to the loser notifier.

In addition to the vehicle number, the text identification module 222 can identify the vehicle route number, the characters described in the vehicle, etc., in the captured image, so that the lost object report information includes a part of the vehicle number, a company of a public transportation vehicle, a vehicle. When a route number or the like is further input, the text identification module 222 identifies a number or a letter in the photographed image, thereby adding an additional filtering element to the vehicle to be queried, thereby further reducing the object to be queried.

The vehicle inquiry module 223 is in charge of inquiring about a vehicle by accessing a vehicle database (not shown) for a public transportation vehicle owner prepared in advance based on the vehicle number identified from the text identification module 222. The vehicle database may be provided in the integrated control center 200, or a method of accessing and querying a database of a related agency in charge of vehicle registration may be applied.

As such, by including the text identification module 222 and the vehicle inquiry module 223, it can be used for the automatic detection of the vehicle in which the lost article occurred based on the detailed lost article report information, and the registered vehicle information and owner contact information of the detected vehicle. It can be secured and can be used more easily to reacquire lost items.

Lost and found information may further include information on the waypoint via the public transport vehicle that lost the lost, in addition to the boarding, getting off, riding time, getting off time. Accordingly, the vehicle detection module 220 filters the public transportation vehicle photographed by the camera installed near the waypoint in the reporter's boarding time range of the query target vehicle detected in correspondence with the boarding point, the boarding time, the boarding point, and the boarding time. This further reduces the number of vehicles to be queried.

For example, in the example of the lost property report information boarding at Jongno Intersection and getting off at Guro Station, the vehicle detection module 220 may receive information on the waypoint of Mapo Bridge. Among the candidate candidate vehicles included in both the list of vehicles and the list of public transportation vehicles photographed at Guro Station at around 11 o'clock, a public transportation vehicle photographed at Mapo Bridge is detected between 10 o'clock and 11 o'clock.

In this case, the reference section of the image photographed near the waypoint may be set in consideration of the normal time. For example, if it normally takes 30 minutes to travel by car from Jongno Intersection to Mapo Bridge, it is more desirable to detect public transportation vehicles in the reference section between 10:20 and 10:40 considering the error time before and after. something to do.

Also, since the waypoint is a condition for filtering, the detection accuracy may be higher as a plurality of waypoints are input.

 Therefore, the lost goods report information is provided in a form of receiving a missing item report information by providing a certain form so that there is no missing information in the lost items report information by entering a plurality of selected items or singularities.

On the other hand, the lost property report information may further include the color information of the public transportation vehicle where the lost and found, the vehicle detection module 220 further includes a color identification module 221 to utilize the color information of the lost and found information. Can be.

The color identification module 221 identifies the color of the vehicle in the captured image of the image database 240 and identifies the color by extracting the degree of inclusion of the three primary colors at some specific positions of the vehicle. The identified color is used as a filtering element for detecting a vehicle in which lost or found items are detected. The color of the candidate candidates is identified and compared with the color received as lost item report information to detect a matching public transport vehicle as the search target vehicle.

Here, the specific location where the color is identified may be a location such as a vehicle wrapping or a ceiling of a vehicle with few flyers, and a method of identifying a color by a criterion having the most color elements by comparing a plurality of points, etc. It may be implemented in various forms.

In addition, the color identification module 221 may be easily used for identification of public transportation vehicles, and the color of the bus or taxi may be designated for each region, and thus may be used for identification of public transportation vehicles through color identification.

Since the present invention is for reacquisition of a lost object generated during the use of public transportation, only the image of the public transportation vehicle is required in the captured image. Since it is inefficient to detect the entire photographed vehicle, the vehicle detection module 220 first identifies the public transportation vehicle in the photographed image and responds to the lost / loss report information while limiting the detection target to the public transportation vehicle. It is carried out in such a way that only the vehicle is detected.

Identification as a public transport vehicle may determine whether a particular member is included in a particular location of the vehicle. An exemplary view of a taxi in which a taxi tower of FIG. 3 is installed, and an exemplary view of a bus in which the vehicle route number unit 160 of FIG. 4 is installed will be described.

In the case of a taxi, the taxi tower light 150 is included, and in the case of a bus, the vehicle front line part 160 is included in one side of the front of the vehicle, and thus the presence or absence of the taxi tower light 150 and the vehicle route number book 160 is identified. Determine whether it is a public transport vehicle or not.

However, the identification of the public transport vehicle through the shape of the vehicle in the photographed image may be adjusted even when the camera 100 is fixed, and the partial rotation or angle may be adjusted, and the photographed distance may be different since the moving vehicle is shaped. The process of identifying the public transport vehicle through the above may be somewhat complicated and possibly misidentified. Therefore, it is preferable to use the color identification module 221 and the text identification module 222 together.

Specifically, the difference between the color of the edge of the ceiling of the vehicle and the center side of the ceiling where the taxi tower light 150 is located, and if the colors of the center side and the border side are the same, it is considered that there is no taxi tower 150. If it is determined by the car, and the color of the center side and the rim side is different, it is considered that there is a taxi tower 150 and can be applied to the method of judging as a public transport vehicle.

In addition, since the color of the public transportation vehicle may be designated for each region, the color of the vehicle may be detected, or the license plate background color of the commercial vehicle may be yellow, and the private vehicle may have a white or green background color. It is also possible to detect.

As an example of identifying the public transportation vehicle using the text identification module 222, an owner such as a transportation company described in the vehicle, and a number described in the vehicle route number book 160 may be identified to identify the public transportation vehicle. Since the text described in such a vehicle is often written on the front or rear side of the vehicle, it is more advantageous to install the text in consideration of an angle or a position where text is easily photographed.

In the case of the identification of public transportation vehicles, if a plurality of conditions to identify the shape, color, and text are specified, the error rate that occurs when identifying the public transportation vehicle can be reduced. As this is easier, it turns out that the priority of identification conditions can be determined.

Meanwhile, the integrated control center 200 further includes a reception server 260 connected to a communication network so as to be connected through the user terminal 300. The reception server 260 receives the lost property report information from the connected user terminal and transmits it to the vehicle detection module 220. The vehicle detection module 220 detects a public transportation vehicle based on the lost and found notification information.

Here, the user terminal 300 may be a smartphone or a PC, and the like, through the user terminal 300 can be connected through a communication network to input and receive lost goods report information according to the procedure, the integrated control center 200 In the absence of a person in charge, you can quickly report lost items. In order to proceed with the lost article report information without the administrator through the user terminal 300, it is also possible to provide a homepage or access application that can be connected to the reception server 260 to receive the lost article report information.

 The integrated control center 200 further includes an operation screen 230 to display the reception status of the lost and found notification information or to output a tracking result for the detected vehicle based on the lost and found notification information. According to this, the list of detection vehicles that match the lost property report information detected by the vehicle detection module 220 and the owner information of the detected detection vehicle are processed through the integrated control unit 210 and output to the operation screen 230. .

Here, the owner information is information obtained through the vehicle inquiry module 223 using the vehicle number, and includes contact information of the vehicle owner.

Therefore, the manager of the integrated control center 200 performs a process from the lost goods notification information to the information display of the detected vehicle by automation and outputs the detection result, so that the lost goods tracking system can be operated by a small number of management personnel. In addition, the information output to the notifier can be easily provided, which helps to reacquire lost items.

Hereinafter, a vehicle detection process for tracking lost items will be described based on FIG. 6 showing a vehicle detection process in the lost and found tracking system according to the present invention.

Access to the reception server 260 through the user terminal 300 to register the details of the loss report, or call the call center of the integrated control center 200 via the telephone to receive the details of lost and received report information ( S100).

For example, a taxi was used to receive the virtual lost / loss report information such as Zone A, Stop Zone Z, Vehicle Color White, End of Vehicle Number 8, Lost Date at 9:00, and Stop at 10:00. In this case, the vehicle detection module 220 performs a detection section setting step S110 for referring to the 9 o'clock image of the zone A and the 10 o'clock image of the zone Z of the image database 240.

Next, the vehicle detection module 220 has a public transportation identification step (S120) of classifying the image of the public transportation vehicle as a target only from the image photographed in the set detection section. As described above, the identification of the public transportation vehicle is performed by extracting a specific form of the captured image from the vehicle detection module 220 or identifying the public transportation vehicle and the private vehicle using the color identification module 221 and the text identification module 222. In this case, only the images of public transportation vehicles can be referred to.

Next, the detecting vehicle number identification step S130 is performed, and the public transportation vehicle included in the 9 o'clock photographed image of the zone A and the public transport vehicle number included in the 10 o'clock photographed image of the zone Z are identified, and the vehicle in each zone is identified. The process of generating a number identification result as a list.

Thereafter, the list of identification results are compared and processed in such a manner as to detect the public transportation vehicles included in both sides as the inquiry candidate vehicle (S140).

In this case, the inquiry candidate vehicles may be detected in plural numbers, and thus it is necessary to further reduce the inquiry target, and determining whether there is additional lost and found information so as to further check whether or not the detected inquiry candidate vehicles are public transportation vehicles in which lost items have occurred. S141 is performed.

If there is no additional information at step S141 of determining whether there is additional lost or missing information, the vehicle number inquiry step (S150) proceeds, but in the example of the lost and found information above, the white vehicle color and the end of the vehicle number added 8 lost Since the information has been received, filtering of the inquiry candidate vehicle is performed.

In general, when using public transportation, it is most common to know the movement route, and it is easy to remember the color of the detailed information about the vehicle, so it is used as a waypoint and main color filtering information.

In the filtering process, the step S142 of determining whether the waypoint information is included in the lost property report information is first performed, and when there is the waypoint information, the list of public transportation vehicles detected in the inquiry candidate vehicle detection step S140 is performed. A first inquiry candidate vehicle filtering step S143 is performed to filter the inquiry candidate vehicle by the public transportation vehicle having the image captured by the camera near the stopover between 9 o'clock and 10 o'clock of the reporter's boarding time range, that is, sequentially Although the step S144 of determining whether additional filtering is possible may be performed, since the waypoint information is not input in the above example of lost and found information, the process proceeds to step S145 of determining whether or not the color information is included in the lost and found information.

The second inquiry candidate vehicle filtering step of filtering only the white vehicle from the inquiry candidate vehicle list detected in the inquiry candidate vehicle detection step (S140) as the inquiry candidate vehicle because the color of the vehicle has been received in the example of the lost / loss report information ( In step S145, the query candidate vehicle list is reduced.

The second inquiry candidate vehicle filtering step S145 is to determine the color of the vehicle, which is performed through the color identification module 221 described above, and the identification method is described above, and thus will be omitted.

If there is waypoint information in the lost property report information, it is natural that the second inquiry candidate vehicle filtering step S146 is filtered from the list detected through the first inquiry candidate vehicle filtering step S143.

After the second inquiry candidate vehicle filtering step (S143), a step (S147) of re-determining whether there is lost property report information capable of additional filtering may be performed. If there is no additional information, the vehicle number inquiry step (S150) may be performed. Since the additional information, such as the vehicle number end 8, is received from the lost property report information, the third inquiry candidate vehicle filtering step S148 is performed.

The third inquiry candidate vehicle filtering step S148 may be filtered through various lost and found notification information.

First, the information of the vehicle number end 8 may be identified through the text identification module 222. Specifically, numbers or letters are identified in the vehicle license plate image of the captured image, divided into predetermined partitions in the image of the license plate, and the numbers of the partitions corresponding to the one-digit area are identified to match the numbers of the loss report information. Filter by whether or not. The object to be filtered here is the vehicle list detected in the second inquiry candidate vehicle filtering step S146.

As additional lost goods report information, when the transportation company listed on the vehicle is received, various texts such as the vehicle route number and the name of the transportation company may be used as filtering information, such as filtering by text matching module through the text identification module 222. do.

The vehicle list that is finally detected by using all the lost property report information, that is, the identified vehicle number has a vehicle number inquiry step (S150) for identifying the owner and contact information by inquiring the vehicle number using the vehicle inquiry module 223. .

Through the vehicle number inquiry step (S150), the tracking result display and processing step (S160) of displaying the result of inquiring information such as the vehicle owner and contact information on the image screen 230 is performed to provide the vehicle detection result to the reporter. Use it to track lost items.

The process of filtering through the presence or absence of additional lost and found information described as an example, that is, filtering through a waypoint or filtering through color and other lost and found information may be performed in any order. However, it should be taken into consideration that it is advantageous to reduce the identification time required to proceed with a large number of filtering elements first.

Although several embodiments of the present invention have been shown and described, those skilled in the art will appreciate that various modifications may be made without departing from the principles and spirit of the invention . The scope of the invention will be determined by the appended claims and their equivalents.

100: camera 150: taxi tower light
160: vehicle route directory 200: integrated control center
210: integrated control unit 220: vehicle detection module
221: color identification module 222: text identification module
223: vehicle inquiry module 230: operation screen
240: video database 260: reception server
300: user terminal

Claims (10)

A plurality of cameras distributed in each surveillance area to photograph the surveillance area;
An integrated control center connected to the plurality of cameras through a communication network to collect the captured images photographed by the respective cameras;
The integrated control center,
Lost and found information for lost and found in the public transport vehicle, including the image database that stores the photographed image transmitted from the respective cameras through the communication network, the boarding point, the ride time, the drop off location, the disembarkation time of the public transport vehicle A vehicle detection for detecting a corresponding public transportation vehicle from a captured image stored in the image database when received, based on the received lost and found notification information;
The vehicle detection module
Identifying the presence or absence of a taxi tower in a vehicle of the photographed image stored in the image database, and detecting the taxi tower by a public transportation vehicle if the taxi tower is identified;
The public transport vehicle included in both sides of the image photographed by the camera of the position corresponding to the boarding point, with reference to the captured image having time information corresponding to the boarding time, and the captured image having time information corresponding to the boarding point. Lost and Found tracking system characterized in that for detecting the vehicle to query. A plurality of cameras distributed in each surveillance area to photograph the surveillance area;
An integrated control center connected to the plurality of cameras through a communication network to collect the captured images photographed by the respective cameras;
The integrated control center,
Lost and found information for lost and found in the public transport vehicle, including the image database that stores the photographed image transmitted from the respective cameras through the communication network, the boarding point, the ride time, the drop off location, the disembarkation time of the public transport vehicle A vehicle detection for detecting a corresponding public transportation vehicle from a captured image stored in the image database when received, based on the received lost and found notification information;
The vehicle detection module
Identifying the presence or absence of a vehicle route number portion in the vehicle of the captured image stored in the image database, and if it is identified that the route number portion exists, detecting by a public transport vehicle;
The public transport vehicle included in both sides of the image photographed by the camera of the position corresponding to the boarding point, with reference to the captured image having time information corresponding to the boarding time, and the captured image having time information corresponding to the boarding point. Lost and Found tracking system characterized in that for detecting the vehicle to query. 3. The method according to claim 1 or 2,
The vehicle detection module includes a text identification module for identifying a number or a character in the captured image;
And the text identification module detects the vehicle to be queried based on the vehicle number identified from the photographed image by the text identification module.
The method of claim 3,
The vehicle detection module
Lost and found tracking system further comprises a vehicle inquiry module for displaying and displaying the vehicle registration information by the vehicle number of the inquiry target vehicle.
3. The method according to claim 1 or 2,
The lost property report information further includes waypoint information via the public transportation vehicle where the lost property occurred;
The vehicle detection module,
Confirm a photographed image of a public transportation vehicle having location information corresponding to the waypoint information,
Lost and found tracking system, characterized in that for detecting the public transport vehicle photographed by the camera installed near the waypoint between the boarding time and the disengagement time of the inquiry target vehicle.
3. The method according to claim 1 or 2,
The lost property report information further includes color information of the public transportation vehicle in which the lost property occurred;
The vehicle detection module further includes a color identification module for identifying a color of the vehicle in the captured image;
Lost and found tracking system characterized in that for detecting the public transport vehicle that the color and the color information of the vehicle identified in the captured image of the query target vehicle.
delete delete 3. The method according to claim 1 or 2,
The integrated control center,
A reception server connected to a communication network to be connected through a user terminal;
The reception server receives the lost goods report information from the user terminal connected to the reception server and transmits the lost goods report information to the vehicle detection module;
The vehicle detection module is a lost and lost tracking system, characterized in that for detecting the public transport vehicle based on the lost and received report information.
10. The method of claim 9,
The integrated control center,
An operation screen for outputting a tracking result for the detected vehicle;
And the vehicle detection module outputs a list of detection vehicles that match the lost property report information and owner information of the detection vehicle.

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