IP Library Granted Patent US 11,100,660
Granted Patent B2
US 11,100,660 · App. 16/290,652 · Granted Aug 24, 2021

Image processing apparatus, image processing method, and storage medium

Inventor: Yoichi Takahashi (Machida, JP)
Assignee: CANON KABUSHIKI KAISHA
G06T7/38G06T7/248G06T7/337G06T2207/10024G06T2207/10032G06T2207/20221G06T2207/30241
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,100,660
App. No.
16/290,652
Granted
Aug 24, 2021
Kind
B2
Abstract

An apparatus includes at least one processor configured to function as following units including a first difference extraction unit configured to extract a first difference between a plurality of images, an alignment unit configured to correct a position of an image with reference to a predetermined subject within the plurality of images, a second difference extraction unit configured to extract a second difference between the plurality of images after the position of the image is corrected by the alignment unit, and a detection unit configured to detect a moving object area based on the extracted first difference and the extracted second difference.

Claims (33)

1. An apparatus comprising:

at least one processor configured to function as following units:

a first difference extraction unit configured to extract a first difference between a plurality of images;

an alignment unit configured to correct a position of an image with reference to a predetermined subject within the plurality of images;

a second difference extraction unit configured to extract a second difference between the plurality of images after the position of the image is corrected by the alignment unit; and

a detection unit configured to detect a moving object area based on the extracted first difference and the extracted second difference.

2. The apparatus according to claim 1 , wherein the detection unit detects a portion that is common to the first difference and the second difference as the moving object area.

3. The apparatus according to claim 1 , wherein the plurality of images are two images temporally adjacent to each other in terms of image capturing time.

4. The apparatus according to claim 3 , wherein the alignment unit uses either of the two images as a reference to align a temporally adjacent image.

5. The apparatus according to claim 1 , wherein the alignment unit calculates a motion vector of the predetermined subject to perform alignment.

6. The apparatus according to claim 1 , wherein the first difference extraction unit and the second difference extraction unit evaluate at least one of color and brightness.

7. The apparatus according to claim 1 , wherein the predetermined subject is a star.

8. The apparatus according to claim 1 , further comprising a combining unit configured to combine the plurality of images using the detected moving object area to generate a combined image.

9. A method comprising:

extracting a first difference between a plurality of images;

aligning by correcting a position of an image with reference to a predetermined subject within the plurality of images;

extracting a second difference between the plurality of images after the position of the image is corrected in the aligning; and

detecting a moving object area based on the extracted first difference and the extracted second difference.

10. The method according to claim 9 , wherein the detecting detects a portion that is common to the first difference and the second difference as the moving object area.

11. The method according to claim 9 , wherein the plurality of images are two images temporally adjacent to each other in terms of image capturing time.

12. The method according to claim 9 , wherein the aligning includes calculating a motion vector of the predetermined subject to perform alignment.

13. The method according to claim 9 , wherein the first difference and the second difference evaluate at least one of color and brightness.

14. The method according to claim 9 , further comprising combining the plurality of images using the detected moving object area to generate a combined image.

15. A non-transitory computer-readable storage medium storing a program for causing a computer to execute following steps comprising:

extracting a first difference between a plurality of images;

aligning by correcting a position of an image with reference to a predetermined subject within the plurality of images;

extracting a second difference between the plurality of images after the position of the image is corrected in the aligning; and

detecting a moving object area based on the extracted first difference and the extracted second difference.

16. The non-transitory computer-readable storage medium according to claim 15 , wherein the detecting detects a portion that is common to the first difference and the second difference as the moving object area.

17. The non-transitory computer-readable storage medium according to claim 15 , wherein the plurality of images are two images temporally adjacent to each other in terms of image capturing time.

18. The non-transitory computer-readable storage medium according to claim 15 , wherein the aligning includes calculating a motion vector of the predetermined subject to perform alignment.

19. The non-transitory computer-readable storage medium according to claim 15 , wherein the first difference and the second difference evaluate at least one of color and brightness.

20. The non-transitory computer-readable storage medium according to claim 15 , further comprising combining the plurality of images using the detected moving object area to generate a combined image.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2019
From: TAKAHASHI, YOICHI
To: CANON KABUSHIKI KAISHA
Reel/Frame 049386/0895 →
Priority Claims (1)
JP JP2018-039539 · Mar 6, 2018 · national
Continuity (1)
Related Publication 20190279378A1 · Sep 12, 2019