Title :
Smooth control of continuous autofocus
Author :
Dong-Chen Tsai ; Chen, He Henry
Author_Institution :
Nat. Taiwan Univ., Taipei, Taiwan
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
For a video camera to continuously focus on a moving object in the autofocus process, accurate estimate of the in-focus lens position is required in order to avoid the so-called bouncing phenomenon that is resulted from back-and-forth lens movements around the in-focus lens position. In this paper, we present a novel continuous focus method that effectively improves the accuracy of in-focus lens position estimate for dynamic scenes by a Kalman filter and provides good user experience by a smooth control of the lens movements in the autofocus process. Experimental results are shown to demonstrate the performance of our method.
Keywords :
Kalman filters; image motion analysis; video cameras; video signal processing; Kalman filter; bouncing phenomenon; continuous autofocus process; in-focus lens position estimation; lens movement smooth control; video camera; Cameras; Estimation; Indexes; Kalman filters; Lenses; Noise measurement; Streaming media; Autofocus; Kalman filter; focus profile; still camera; video camera;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466873