DocumentCode
2425174
Title
Fast electronic digital image stabilization
Author
Morimoto, Carlos ; Chellappa, Rama
Author_Institution
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
284
Abstract
We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is based on a 2D feature-based multi-resolution motion estimation algorithm, that tracks a small set of features to estimate the motion of the camera. The combination of the estimates from a reference frame is used to warp the current frame in order to achieve stabilization. Experimental results using video sequences taken from a camera mounted on a moving vehicle demonstrate the robustness of the system when processing 15 frames per second
Keywords
image sequences; motion estimation; pipeline processing; video signal processing; 2D feature-based multi-resolution motion estimation algorithm; Datacube Max Video 200; SUN SPARCstation 20/612; fast electronic digital image stabilization; parallel pipeline image processing hardware; video sequences; Cameras; Digital images; Hardware; Image processing; Motion estimation; Pipelines; Sun; Tracking; Vehicles; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546956
Filename
546956
Link To Document