Title :
Fast electronic digital image stabilization
Author :
Morimoto, Carlos ; Chellappa, Rama
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546956