HMM relative entropy rate concepts for vision-based aircraft manoeuvre detection
TL Molloy, JJ Ford
2013 3rd Australian Control Conference, AUCC 2013 | Published : 2013
Machine vision is emerging as a viable sensing approach for mid-air collision avoidance (particularly for small to medium aircraft such as unmanned aerial vehicles). In this paper, using relative entropy rate concepts, we propose and investigate a new change detection approach that uses hidden Markov model filters to sequentially detect aircraft manoeuvres from morphologically processed image sequences. Experiments using simulated and airborne image sequences illustrate the performance of our proposed algorithm in comparison to other sequential change detection approaches applied to this application. © 2013 Engineers Australia.