OBJECT TRACKING METHOD AND OBJECT TRACKING APPARATUS FOR PERFORMING THE METHOD

• US 20170148174A1
• Filed: 06/20/2016
• Published: 05/25/2017
• Est. Priority Date: 11/20/2015
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: KIM, Yoo Kyung, LEE, Alex, HAHM, Gyeong June, CHO, Kee Seong, KIM, Kwang Yong, UM, Gi Mun
• Application Number:
  US15/186,634
• Publication Number:
  US 20170148174A1
• Time in Patent Office: Days
• CPC Class Codes: G01C 3/08 Use of electric radiation detectors
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 2207/30221 Sports video; Sports image
• CPC Class Codes: G06T 2207/30241 Trajectory
• CPC Class Codes: G06T 7/292 Multi-camera tracking
• CPC Class Codes: G06T 7/60 Analysis of geometric attributes
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
• CPC Class Codes: G06V 10/62 relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking
• CPC Class Codes: G06V 10/98 Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
• CPC Class Codes: G06V 40/173 face re-identification, e.g. recognising unknown faces across different face tracks
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: H04N 23/90 Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums

Abstract

Disclosed are an object tracking method and an object tracking apparatus performing the object tracking method. The object tracking method may include extracting locations of objects in an object search area using a global camera, identifying an interest object selected by a user from the objects, and determining an error in tracking the identified interest object and correcting the determined error.

Claims

1. An object tracking method comprising:

extracting a location of an interest object from a global image obtained by capturing an object search area including the interest object using a global camera;

capturing the interest object using a local camera adjacent to the location of the interest object;

identifying a location of the interest object from a local image obtained by the local camera; and

determining a tracking error associated with the interest object by analyzing the location of the interest object extracted from the global image and the location of the interest object identified from the local image.

2. The method of claim 1, wherein the extracting of the location of the interest object from the global image comprises:

extracting the location of the interest object from the global image based on a width of the object search area and a height from a ground of the object search area to a location at which the global camera is installed.

3. The method of claim 1, wherein the capturing of the interest object comprises:

capturing the interest object using a plurality of local cameras of which locations for capturing the object search area are controlled based on the location of the interest object extracted from the global image.

4. The method of claim 3, wherein the identifying of the location of the interest object from the local image comprises:

identifying the interest object included in the local image by analyzing the local image obtained by the plurality of local cameras from multiple angles at the controlled locations.

5. The method of claim 1, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object by analyzing a case in which the interest object is located adjacent to a fixed object in the object search area.

6. The method of claim 5, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object by analyzing whether a location of the interest object is included in an area of the fixed object in the object search area.

7. The method of claim 1, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object by analyzing a case in which the interest object is located adjacent to a moving object in the object search area.

8. The method of claim 7, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object based on a distance between a central location of the interest object and a central location of a moving object having a largest overlapping area with the interest object among other objects in the object search area.

9. The method of claim 7, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object based on a size of an area of the interest object occluded by the moving object and a size of an area of the interest object.

10. The method of claim 1, wherein the determining of the tracking error associated with the interest object comprises:

determining the tracking error associated with the interest object by analyzing a new object entering the object search area.

11. An object tracking apparatus comprising:

a location extractor configured to extract a location of an interest object from a global image obtained by capturing an object search area including the interest object using a global camera;

an interest object identifier configured to capture the interest object by a local camera adjacent to the location of the interest object, and identify a location of the interest object from a local image obtained by the local camera;

a tracking error determiner configured to determine a tracking error associated with the interest object by comparing the location of the interest object extracted from the global image and the location of the interest object identified from the local image; and

a tracking location corrector configured to correct a tracking location of the interest object based on a result of determining the tracking error.

12. The apparatus of claim 11, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object by analyzing a case in which the interest object is located adjacent to a fixed object in the object search area.

13. The apparatus of claim 12, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object by analyzing whether a location of the interest object is included in an area of the fixed object in the object search area.

14. The apparatus of claim 11, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object by analyzing a case in which the interest object is located adjacent to a moving object in the object search area.

15. The apparatus of claim 14, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object based on a distance between a central location of the interest object and a central location of a moving object having a largest overlapping area with the interest object among other objects in the object search area.

16. The apparatus of claim 14, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object based on a size of an area of the interest object occluded by the moving object and a size of an area of the interest object.

17. The apparatus of claim 11, wherein the tracking error determiner is configured to determine the tracking error associated with the interest object by analyzing a new object entering the object search area.