7 June 1996 Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters
Author Affiliations +
Abstract
We introduce a three-dimensional target attitude estimation method based on the linear optimal filtering and the signal processing prediction algorithms. By estimating the three- dimensional attitude and the scale of the target, we are able to predict the temporal trajectory of the target and to perform a robust tracking. Most cases of parameter estimation with the help of correlation deal with the two- dimensional estimation of position, scale and object rotation. Treating a three-dimensional parameter estimation problem leads to an increase in the number of correlation filters. We propose a strategy to reduce the number of correlations and thus reduce the computational burden and the processing time. We demonstrate the efficiency of the strategy in the case of optimal trade-off filters.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sylvie G. Tonda, Sylvie G. Tonda, Philippe Refregier, Philippe Refregier, } "Three-dimensional attitude estimation and tracking by multicorrelation technique with normalized optimal trade-off filters", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242006; https://doi.org/10.1117/12.242006
PROCEEDINGS
12 PAGES


SHARE
Back to Top