Title :
Image correlation in nonlinear estimation
Author :
Sworder, D.D. ; Vojak, R. ; Singer, P.A.
Author_Institution :
California Univ., San Diego, La Jolla, CA, USA
Abstract :
Even the performance of image-enhanced trackers degrades when an agile target moves along an osculating path. It is possible to improve tracking accuracy by replacing the conventional acceleration model with one which more closely represents measured vehicle motions. This paper presents a study of the performance improvement attainable with algorithms derived on the basis of more exact acceleration models. It is shown that using the correlation between image and kinematic measurements, improvement in tracking performance is possible
Keywords :
Kalman filters; correlation theory; filtering and prediction theory; image processing; nonlinear systems; tracking; agile target; exact acceleration models; image correlation; image measurements; image-enhanced trackers; kinematic measurements; measured vehicle motions; nonlinear estimation; tracking accuracy; tracking performance; Acceleration; Accelerometers; Aircraft; Degradation; Image sensors; Kinematics; Sensor fusion; Target tracking; Testing; Vehicles;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342413
