DocumentCode
3755951
Title
Algorithms for tracking with a foveal sensor
Author
Gregory Spell;Douglas Cochran
Author_Institution
Pratt School of Engineering, Duke University, Durham, NC 27708 USA
fYear
2015
Firstpage
1563
Lastpage
1565
Abstract
A foveal sensor employs a small region of high acuity surrounded by a periphery of lesser acuity. This paper describes an approach for managing such a sensor for tracking a single target. This approach seeks to adaptively position the high-acuity region of the sensor to keep it centered on the target. This scheme is incorporated into a Kalman filter, suitably modified to account for the nonlinearity and spatial agility of the sensor. It is evaluated using simulations in a two-dimensional target tracking scenario.
Keywords
"Robot sensing systems","Target tracking","Kalman filters","Position measurement","Spatial resolution","Measurement uncertainty","Noise measurement"
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2015.7421409
Filename
7421409
Link To Document