One-pass video stabilization
US-2015256755-A1 · Sep 10, 2015 · US
US9924097B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9924097-B2 |
| Application number | US-201615065113-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 9, 2016 |
| Priority date | Sep 16, 2015 |
| Publication date | Mar 20, 2018 |
| Grant date | Mar 20, 2018 |
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An apparatus, a method, and a recording medium for image stabilization are provided. The image stabilization method includes receiving an image that is captured by a camera, detecting a motion of the image, predicting a motion of the image, using a Kalman filter, comparing the detected motion with the predicted motion, and updating a parameter of the Kalman filter based on a result of the comparing.
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What is claimed is: 1. An image stabilization method that is performed by an image stabilization apparatus, the method comprising: receiving an image that is captured by a camera; detecting a motion of the image; predicting a motion of the image, using a Kalman filter; and increasing a measurement noise variance of the Kalman filter in response to the predicted motion having a fluctuation section, in which an amplitude of the predicted motion is greater than or equal to a first threshold value and the predicted motion fluctuates at a frequency that is greater than or equal to a second threshold. 2. The method of claim 1 , further comprising: determining an unintentional motion of the image by subtracting the predicted motion from the detected motion; and compensating for the unintentional motion. 3. The method of claim 1 , wherein the updating the parameter comprising, in response to a difference between the detected motion and the predicted motion being greater than or equal to a third threshold value, determining that over-smoothing occurs and decreasing the measurement noise variance of the Kalman filter to remove an effect of the over-smoothing. 4. The method of claim 1 , further comprising correcting the predicted motion based on the predicted motion and the detected motion. 5. The method of claim 4 , wherein the image is a current frame, and the method further comprises predicting a motion of a frame next to the current frame based on the corrected predicted motion of the current frame. 6. A non-transitory computer-readable recording medium storing a program to cause a computer to perform the method of claim 1 . 7. An image stabilization method that is performed by an image stabilization apparatus, the method comprising: receiving an image that is captured by a camera; detecting a motion of the image; predicting a motion of the image, using a Kalman filter; comparing the detected motion with the predicted motion; updating a parameter of the Kalman filter based on a result of the comparing; and correcting the predicted motion based on the predicted motion and the detected motion, wherein the motion is predicted based on an equation: { X ^ t - = A X ^ t - 1 P t - = AP t - 1 A T + S w , wherein {circumflex over (X)} t − is a motion that is predicted from a current frame, {circumflex over (X)} t−1 is a value of correcting a motion that is predicted from a previous frame, A is a state transition matrix, P t − is an error variance regarding the predicted motion {circumflex over (X)} t − , P t−1 , is an error variance regarding the value {circumflex over (X)} t−1 , and S w is a process noise variance. 8. An image stabilization method that is performed by an image stabilization apparatus, the method comprising: receiving an image that is captured by a camera; detecting a motion of the image; predicting a motion of the image, using a Kalman filter; comparing the detected motion with the predicted motion; updating a parameter of the Kalman filter based on a result of the comparing; and correcting the predicted motion based on the predicted motion and the detected motion, wherein the predicted motion is corrected based on an equation: { K t = P t - C T ( CP t - C T + S z ) - 1 X ^ t =
based on the image signal · CPC title
involving stochastic approaches, e.g. using Kalman filters · CPC title
performed by a processor, e.g. controlling the readout of an image memory · CPC title
Vibration or motion blur correction · CPC title
using two or more images, e.g. averaging or subtraction · CPC title
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