Target image tracking using a nonlinear filter based on Pontryagin minimum principle
- 1 December 1986
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 31 (12) , 1170-1173
- https://doi.org/10.1109/tac.1986.1104199
Abstract
The major contribution of this technical note is the introduction of a new nonlinear filter, based on Pontryagin minimum principle and the method of invariant imbedding, as applied to spatial filtering of FLIR image sequences. This filler is used to improve the signal-to-noise ratio (SNR) of each frame. The target center is then estimated using different approaches. It is shown, through Monte Carlo simulation, that the proposed methods improve the accuracy of the estimate of the target center by 100 pecent on the average, compared to the correlation algorithm.Keywords
This publication has 4 references indexed in Scilit:
- New Results in Sridhar Filtering TheoryJournal of the Franklin Institute, 1986
- A recursive Kalman window approach to image restorationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Advances in mathematical models for image processingProceedings of the IEEE, 1981
- An Adaptive Extended Kalman Filter for Target Image TrackingIEEE Transactions on Aerospace and Electronic Systems, 1981