Title :
Electronic image stabilization using multiple visual cues
Author :
Yao, Y.S. ; Burlina, Philippe ; Chellappa, Rama ; Wu, T.H.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
Image stabilization is a key preprocessing step in dynamic image analysis and deals with the removal of unwanted image motion in a video sequence. This paper presents an integrated algorithm for the problem of image stabilization. The algorithm combines various visual cues such as points and horizon lines, and relies on an extended Kalman filter for the estimation of parameters of interest. We study both calibrated and uncalibrated stabilization cases, and consider the problem of the selection of model dynamics for the estimation of warping parameters. Experimental results from video sequences generated from off-road vehicle platforms show good performance of stabilization algorithm
Keywords :
Kalman filters; calibration; filtering theory; image sequences; motion estimation; parameter estimation; stability; video signal processing; calibrated stabilization; dynamic image analysis; electronic image stabilization; experimental results; extended Kalman filter; horizon lines; image motion removal; integrated algorithm; model dynamics selection; multiple visual cues; offroad vehicle platforms; parameter estimation; performance; points; stabilization algorithm; uncalibrated stabilization; video sequences; warping parameters; Automation; Cameras; Educational institutions; Image motion analysis; Motion analysis; Observability; Parameter estimation; Vehicle dynamics; Vehicles; Video sequences;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529578
