METHODS FOR DETECTING AND RECOGNIZING A MOVING OBJECT IN VIDEO AND DEVICES THEREOF

• US 20130044914A1
• Filed: 08/09/2012
• Published: 02/21/2013
• Est. Priority Date: 08/18/2011
• Status: Active Grant

• Current Assignee: Infosys Limited
• Original Assignee: Infosys Limited
• Inventors: Rai, Harikrishna G. N., Hota, Rudra Narayana, Jonna, Kishore, Krishna, P. Radha
• Granted Patent: US 9,288,450 B2
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06V 10/245 by locating a pattern; Special marks for positioning
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

A method, non-transitory computer readable medium, and apparatus that extracts at least one key image from one or more images of an object. Outer boundary makers for an identifier of the object in the at least one key image are detected. An identification sequence from the identifier of the object between the outer boundary markers in the at least one key image is recognized. The recognized identification sequence of the object in the at least one key image is provided.

Claims

1. A method for detecting and recognizing a moving object in video, the method comprising:

extracting with a tracking management computing device at least one key image from one or more images of an object;

detecting with the tracking management computing device outer boundary makers for an identifier of the object in the at least one key image;

recognizing with the tracking management computing device an identification sequence from the identifier of the object between the outer boundary markers in the at least one key image; and

providing with the tracking management computing device the recognized identification sequence of the object in the at least one key image.

2. The method as set forth in claim 1 wherein the detecting the outer boundary markers further comprises using with the tracking management computing device color segmentation to detect one or more potential boundary markers in the at least one key image.

3. The method as set forth in claim 2 wherein the detecting the outer boundary markers further comprises filtering out with the tracking management computing device one or more of the potential boundary markers in the at least one key image based on size and distance between the potential boundary markers.

4. The method as set forth in claim 3 wherein the detecting further comprises adjusting with the tracking management computing device an orientation of the one or more potential boundary makers in the at least one key image with respect to a fixed axis.

5. The method as set forth in claim 4 wherein the adjusting further comprises:

generating with the tracking management computing device a bounding box around the one or more potential boundary markers; and

computing with the tracking management computing device an orientation of the generated bounding box with respect to the fixed axis; and

rotating with the tracking management computing device the at least one key image based on the computed orientation.

6. The method as set forth in claim 1 wherein the identifying further comprises cropping with the tracking management computing device the outer boundary markers from a region in the at least one key image before the identifying.

7. The method as set forth in claim 6 wherein the identifying further comprises thresholding with the tracking management computing device the cropped region to identify one or more white areas and one or more black areas.

8. The method as set forth in claim 7 wherein the identifying further comprises using with the tracking management computing device a sliding window to assign one value to the one or more identified white areas and another value to the one or more identified black areas.

9. The method as set forth in claim 8 wherein the identifying further comprises determining whether the identified identification sequence from the identifier of the object between the outer boundary markers in the at least one key image is correct, wherein the cropped region is rotated 180 degrees with the tracking management computing device and the identifying is repeated when the determined identification sequence is incorrect.

10. The method as set forth in claim 9 wherein the identifying further comprises converting with the tracking management computing device the identification sequence into a decimal number for the providing the identified identification sequence.

11. A non-transitory computer readable medium having stored thereon instructions for detecting and recognizing a moving object in video comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising:

extracting at least one key image from one or more images of an object;

detecting outer boundary makers for an identifier of the object in the at least one key image;

recognizing an identification sequence from the identifier of the object between the outer boundary markers in the at least one key image; and

providing the recognized identification sequence of the object in the at least one key image.

12. The medium as set forth in claim 11 wherein the detecting the outer boundary markers further comprises using color segmentation to detect one or more potential boundary markers in the at least one key image.

13. The medium as set forth in claim 12 wherein the detecting the outer boundary markers further comprises filtering out one or more of the potential boundary markers in the at least one key image based on size and distance between the potential boundary markers.

14. The medium as set forth in claim 13 wherein the detecting further comprises adjusting an orientation of the one or more potential boundary makers in the at least one key image with respect to a fixed axis.

15. The medium as set forth in claim 14 wherein the adjusting further comprises:

generating a bounding box around the one or more potential boundary markers; and

computing ice an orientation of the generated bounding box with respect to the fixed axis; and

rotating the at least one key image based on the computed orientation.

16. The medium as set forth in claim 11 wherein the identifying further comprises cropping the outer boundary markers from a region in the at least one key image before the identifying.

17. The medium as set forth in claim 16 wherein the identifying further comprises thresholding the cropped region to identify one or more white areas and one or more black areas.

18. The medium as set forth in claim 17 wherein the identifying further comprises using a sliding window to assign one value to the one or more identified white areas and another value to the one or more identified black areas.

19. The medium as set forth in claim 18 wherein the identifying further comprises determining whether the identified identification sequence from the identifier of the object between the outer boundary markers in the at least one key image is correct, wherein the cropped region is rotated 180 degrees with the tracking management computing device and the identifying is repeated when the determined identification sequence is incorrect.

20. The medium as set forth in claim 19 wherein the identifying further comprises converting the identification sequence into a decimal number for the providing the identified identification sequence.

21. A tracking management computing device comprising:

one or more processors;

a memory coupled to the one or more processors which are configured to execute programmed instructions stored in the memory comprising;

extracting at least one key image from one or more images of an object;

detecting outer boundary makers for an identifier of the object in the at least one key image;

recognizing an identification sequence from the identifier of the object between the outer boundary markers in the at least one key image; and

providing the recognized identification sequence of the object in the at least one key image.

22. The device as set forth in claim 21 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the detecting the outer boundary markers further comprising using color segmentation to detect one or more potential boundary markers in the at least one key image.

23. The device as set forth in claim 22 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the detecting the outer boundary markers further comprising filtering out one or more of the potential boundary markers in the at least one key image based on size and distance between the potential boundary markers.

24. The device as set forth in claim 23 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the detecting further comprising adjusting an orientation of the one or more potential boundary makers in the at least one key image with respect to a fixed axis.

25. The device as set forth in claim 24 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the adjusting further comprising:

generating a bounding box around the one or more potential boundary markers; and

computing ice an orientation of the generated bounding box with respect to the fixed axis; and

rotating the at least one key image based on the computed orientation.

26. The device as set forth in claim 21 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the identifying further comprises cropping the outer boundary markers from a region in the at least one key image before the identifying.

27. The device as set forth in claim 26 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the identifying further comprising thresholding the cropped region to identify one or more white areas and one or more black areas.

28. The device as set forth in claim 27 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the identifying further comprising using a sliding window to assign one value to the one or more identified white areas and another value to the one or more identified black areas.

29. The device as set forth in claim 28 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the identifying further comprising determining whether the identified identification sequence from the identifier of the object between the outer boundary markers in the at least one key image is correct, wherein the cropped region is rotated 180 degrees with the tracking management computing device and the identifying is repeated when the determined identification sequence is incorrect.

30. The device as set forth in claim 29 wherein the one or more processors is further configured to execute programmed instructions stored in the memory for the identifying further comprising converting the identification sequence into a decimal number for the providing the identified identification sequence.