Method and electronic device for processing object

Patent metadata

Field	Value
Publication number	US-9349191-B2
Application number	US-201414182910-A
Country	US
Kind code	B2
Filing date	Feb 18, 2014
Priority date	Feb 15, 2013
Publication date	May 24, 2016
Grant date	May 24, 2016

Abstract

A method of operating an electronic device is provided. The method includes tracking at least one object included in a plurality of digital images including at least a first image and a second image. The tracking of the object includes determining values of phase correlation between a part of the first image and a part of the second image, determining a position of a peak value among the values of the phase correlation, and determining a variance of the values of the phase correlation according to at least a part of the peak vale.

First claim

What is claimed is:

1. A method of operating an electronic device, the method comprising:
tracking at least one object included in a plurality of digital images including at least a first image and a second image,
wherein the tracking of the object comprises:
determining values of phase correlation between a part of the first image associated with the at least one object and a part of the second image associated with the at least one object,
determining a position of a peak value among the values of the phase correlation,
determining a variance of the values of the phase correlation according to at least a part of the peak value, and
determining a movement reliability value of the at least one object based on the determined variance of the values of the phase correlation.

2. The method as claimed in claim 1 , wherein the tracking of the at least one object is performed differently based on the determined variance of the values of the phase correlation.

3. The method as claimed in claim 2 ,
wherein the tracking of the at least one object is performed using a first processor if the variance is less than a selected value, and
wherein tracking the at least one object is performed using a second processor if the variance is greater than or equal to the selected value.

4. The method as claimed in claim 3 , further comprising:
determining, by the first processor, whether the at least one object located at a first position in the first image moves to a second position in the second image,
wherein the second position is determined based on the position of the peak value.

5. The method as claimed in claim 4 , further comprising:
determining a pixel correlation between an area of the at least one object at the first position in the first image and an area of the at least one object at the second position in the second image by using the first processor.

6. The method as claimed in claim 5 , wherein if the pixel correlation is greater than or equal to the selected value, the first processor determines that the at least one object moves from the first position to the second position.

7. The method as claimed in claim 4 , further comprising:
disregarding the position of the peak value if it is determined that the at least one object does not move from the first position to the second position.

8. The method as claimed in claim 7 , wherein the disregarding of the position of the peak value comprises:
performing the phase correlation for each object associated with the first and second images.

9. The method as claimed in claim 3 , wherein the second processor performs the tracking of the at least one object without regard to the position of the peak value.

10. The method as claimed in claim 9 , wherein the tracking of the at least one object without regard to the position of the peak value comprises: performing the phase correlation for each object associated with the first and second images.

11. The method as claimed in claim 8 , wherein the performing of the phase correlation for each object further comprises:
approximating the at least one object in a selected form.

12. An electronic device comprising:
a memory configured to store a plurality of digital images, wherein the plurality of digital images includes a first image and a second image; and
a processor configured to:
determine values of phase correlation between a part of the first image associated with the at least one object and a part of the second image associated with the at least one object,
determine a position of a peak value among the values of the phase correlation,
determine a variance of the values of the phase correlation according to at least a part of the peak value, and
determine a movement reliability value of the at least one object based on the determined variance of the values of the phase correlation.

13. The electronic device as claimed in claim 12 , wherein the processor is further configured to perform the tracking of the at least one object differently based on the determined variance of the values of the phase correlation.

14. The electronic device as claimed in claim 12 , wherein the processor comprises:
a first processor configured to track the at least one object if the variance is less than a selected value; and
a second processor configured to track the at least one object if the variance is greater than or equal to the selected value.

15. The electronic device as claimed in claim 14 ,
wherein the first processor determines whether the at least one object located at a first position in the first image moves to a second position in the second image, and
wherein the second position is determined based on the position of the peak value.

16. The electronic device as claimed in claim 15 , wherein the first processor determines a pixel correlation between an area of the at least one object at the first position in the first image and an area of the at least one object at the second position in the second image.

17. The electronic device as claimed in claim 16 , wherein if the pixel correlation is greater than or equal to the selected value, the first processor determines that the at least one object moves from the first position to the second position.

18. The electronic device as claimed in claim 15 , wherein the first processor disregards the position of the peak value if it is determined that the at least one object does not move from the first position to the second position.

19. The electronic device as claimed in claim 18 , wherein the first processor performs a phase correlation for each object associated with the first and second images.

20. The electronic device as claimed in claim 14 , wherein the second processor disregards the position of the peak value.

21. The electronic device as claimed in claim 20 , wherein the second processor performs a phase correlation for each object associated with the first and second images.

22. The electronic device as claimed in claim 19 , wherein at least one of the first processor and the second processor approximates the at least one object in a selected form.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Cho Kyusung
• Cho Ikhwan
• Zubach Fedir
• Kis Gennadiy

Classifications

• G06T7/206

  Physics · mapped topic

• G06T7/20 Primary

  Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) · CPC title

• G06T7/262 Primary

  using transform domain methods, e.g. Fourier domain methods · CPC title

• G06T2207/20076

  Probabilistic image processing · CPC title