Carmi, AY and Mihaylova, L and Septier, F and Pang, SK and Gurfil, P and Godsill, SJ (2011) MCMC-based tracking and identification of leaders in groups. Proceedings of the IEEE International Conference on Computer Vision. pp. 112-119.Full text not available from this repository.
We present a novel framework for identifying and tracking dominant agents in groups. Our proposed approach relies on a causality detection scheme that is capable of ranking agents with respect to their contribution in shaping the system's collective behaviour based exclusively on the agents' observed trajectories. Further, the reasoning paradigm is made robust to multiple emissions and clutter by employing a class of recently introduced Markov chain Monte Carlo-based group tracking methods. Examples are provided that demonstrate the strong potential of the proposed scheme in identifying actual leaders in swarms of interacting agents and moving crowds. © 2011 IEEE.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron Job|
|Date Deposited:||07 Mar 2014 11:48|
|Last Modified:||26 Jan 2015 03:00|