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.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record - Asilomar Conference on Signals, Systems and Computers |
| Publisher | IEEE Computer Society |
| Pages | 1563-1565 |
| Number of pages | 3 |
| Volume | 2016-February |
| ISBN (Print) | 9781467385763 |
| DOIs | |
| State | Published - Feb 26 2016 |
| Event | 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015 |
Other
| Other | 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 |
|---|---|
| Country | United States |
| City | Pacific Grove |
| Period | 11/8/15 → 11/11/15 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
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Cite this
Spell, G., & Cochran, D. (2016). Algorithms for tracking with a foveal sensor. In Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2016-February, pp. 1563-1565). [7421409] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421409