Title :
Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters
Author :
Lai, Jih-Sheng ; Ford, Jason J. ; O´Shea, Peter ; Mejias, Luis
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
The problem of estimating pseudobearing rate information of an airborne target based on measurements from a vision sensor is considered. Novel image speed and heading angle estimators are presented that exploit image morphology, hidden Markov model (HMM) filtering, and relative entropy rate (RER) concepts to allow pseudobearing rate information to be determined before (or whilst) the target track is being estimated from vision information.
Keywords :
entropy; filtering theory; hidden Markov models; target tracking; HMM filtering; RER concept; airborne target pseudobearing rate; heading angle estimator; hidden Markov model filters; image morphology; image speed estimator; pseudobearing rate information estimation; relative entropy rate concept; target tracking; vision sensor; vision-based estimation; Aerospace electronics; Aircraft; Cameras; Dynamics; Filter banks; Hidden Markov models;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2013.6621806
