Abstract
Tracking of a target in a cluttered environment requires extensive computational architecture. However, even a small housefly is adept at pursuing its prey. Biomimetic algorithms suggest a novel way of looking at this problem. In the lobula plate of a fly's brain, a neural circuit is hypothesized based on a tangential cell called the figure detection (FD) cell. The proposed small target fixation algorithm based on electrophysiological recordings does not take into account the translation of the pursuer during pursuit. We have modified the biological algorithm to include this aspect of tracking. In this paper, we present the elaborated biological algorithm for small target tracking, and an analog VLSI implementation of this algorithm.
Original language | English (US) |
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Pages (from-to) | III5-III8 |
Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
Volume | 3 |
State | Published - 2004 |
Event | 2004 IEEE International Symposium on Circuits and Systems - Proceedings - Vancouver, BC, Canada Duration: May 23 2004 → May 26 2004 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering