Abstract
An autonomous visual tracking algorithm based on mean-shift and extended
kalman filter is proposed for micro aerial vehicle. This proposed algorithm is
incorporated in the autonomous visual tracking software. This proposed
algorithm identifies and tracks the ground moving target based on its 2D
color space histogram. The implemented proposed algorithm is included in
simulation to check whether the proposed algorithm identifies and tracks
the GMT accurately or not from micro aerial vehicle. The captured results
prove that the proposed autonomous visual tracking algorithm identifies and
tracks the GMT very accurately.
kalman filter is proposed for micro aerial vehicle. This proposed algorithm is
incorporated in the autonomous visual tracking software. This proposed
algorithm identifies and tracks the ground moving target based on its 2D
color space histogram. The implemented proposed algorithm is included in
simulation to check whether the proposed algorithm identifies and tracks
the GMT accurately or not from micro aerial vehicle. The captured results
prove that the proposed autonomous visual tracking algorithm identifies and
tracks the GMT very accurately.
| Original language | English |
|---|---|
| Pages (from-to) | 14-23 |
| Number of pages | 10 |
| Journal | International Journal of Innovative Computer Science & Engineering |
| Volume | 3 |
| Issue number | 2 |
| Publication status | Published - Apr 2016 |
| Externally published | Yes |