Abstract
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.
| Original language | English (US) |
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| Pages | 191-194 |
| Number of pages | 4 |
| State | Published - Jan 1 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA Duration: Oct 23 1995 → Oct 26 1995 |
Other
| Other | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) |
|---|---|
| City | Washington, DC, USA |
| Period | 10/23/95 → 10/26/95 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering