APPARATUS AND METHOD FOR PROVIDING TRAFFIC CONTROL SERVICE

• US 20150241560A1
• Filed: 02/25/2015
• Published: 08/27/2015
• Est. Priority Date: 02/27/2014
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: LEE, Byung-Gil, KIM, Byung-Doo, KIM, Do-Hyeung, CHOI, Joong-Yong, KIM, Ju-Young, SEO, Dae-Hee, OH, Seung-Hee, CHO, Kwan-Tae, LEE, Sang-Woo, NA, Jung-Chan, CHO, Hyun-Sook
• Application Number:
  US14/630,683
• Publication Number:
  US 20150241560A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/203 Specially adapted for sailing ships
• CPC Class Codes: G01S 13/66 Radar-tracking systems; Analogous systems
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• CPC Class Codes: G01S 13/867 Combination of radar systems with cameras
• CPC Class Codes: G01S 13/917 for marine craft or other waterborne vessels

Abstract

An apparatus and method for providing traffic control service are disclosed herein. The apparatus for providing traffic control service includes a multi-sensor fusion processing unit, an image object tracking and combination unit, and an information provision unit. The multi-sensor fusion processing unit generates the location information of a vessel by fusing radar information and automatic identification system (AIS) information together. The image object tracking and combination unit sets a detection area on a closed-circuit television (CCTV) image based on the information of the vessel, and detects the vessel by performing image processing within the set detection area. The information provision unit generates mapping display information based on the information of the vessel and the result of the detection achieved by performing the image processing, and displays the generated mapping display information within a CCTV screen, thereby providing traffic control service.

Claims

1. A method of providing traffic control service, comprising:

acquiring location information of a vessel by fusing radar information and automatic identification system (AIS) information together;

checking whether coordinates corresponding to the location information of the vessel are present within a closed-circuit television (CCTV) screen coordinate range, and checking whether the vessel is a vessel having been previously tracked or a new vessel;

if the vessel is a new vessel, generating mapping display information based on the location information of the vessel and port management information; and

displaying the mapping display information at a mapping location within the CCTV screen coordinate range, and tracking the vessel based on vessel image processing.

2. The method of claim 1, wherein tracking the vessel comprises, if the vessel is a vessel having been previously tracked, tracking the vessel based on vessel image processing.

3. The method of claim 1, wherein tracking the vessel based on vessel image processing is performed using at least one of an object detection technique using a histogram, an object detection technique using inter-frame difference image data, a detection technique based on object learning, a detection technique using a Kalman filter for the prediction of the moving direction of an object, and a method based on a combination thereof.

4. The method of claim 1, wherein checking whether the vessel is a vessel having been tracked or a new vessel comprises, if the coordinates corresponding to the location information of the vessel are present within the CCTV screen coordinate range, determining that the vessel is a vessel having been previously tracked, and, if the coordinates corresponding to the location information of the vessel are not present within the CCTV screen coordinate range, determining that the vessel is a new vessel.

5. The method of claim 1, further comprising, if the coordinates corresponding to the location information of the vessel are not present within the CCTV screen coordinate range, displaying the coordinates corresponding to the location information of the vessel within the CCTV screen.

6. An apparatus for providing traffic control service, comprising:

a multi-sensor fusion processing unit configured to generate location information of a vessel by fusing radar information and AIS information together;

an image object tracking and combination unit configured to set a detection area on a CCTV image based on the information of the vessel, and to detect the vessel by performing image processing within the set detection area; and

an information provision unit configured to generate mapping display information based on the information of the vessel and a result of the detection achieved by performing the image processing, and to display the generated mapping display information within a CCTV screen, thereby providing traffic control service.

7. The apparatus of claim 6, wherein the image object tracking and combination unit searches for detailed information of the corresponding vessel based on the information of the vessel in a port management information storage unit.

8. The apparatus of claim 7, wherein the port management information storage unit comprises a name of a vessel and specification information of the vessel with respect to each vessel, which are received from a port management information system (Port-MIS).

9. The apparatus of claim 6, wherein the image object tracking and combination unit, without continuously receiving the information of the vessel from the multi-sensor fusion processing unit, detects the vessel through image processing while moving across a detection area set by itself, and transmits location, speed and direction information of the detected vessel to the information provision unit.

10. The apparatus of claim 6, wherein the image object tracking and combination unit detects the vessel by performing the image processing using at least one of an object detection technique using a histogram, an object detection technique using inter-frame difference image data, a detection technique based on object learning, a detection technique using a Kalman filter for the prediction of the moving direction of an object, and a method based on a combination thereof.