@inproceedings{6cb8fa8be3844980af6b6d9bb8c622ab,
title = "MCMC-based tracking and identification of leaders in groups",
abstract = "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.",
author = "Carmi, \{Avishy Y.\} and Lyudmila Mihaylova and Fran{\c c}ois Septier and Pang, \{Sze Kim\} and Pini Gurfil and Godsill, \{Simon J.\}",
year = "2011",
month = jan,
day = "1",
doi = "10.1109/ICCVW.2011.6130232",
language = "English",
isbn = "9781467300629",
series = "Proceedings of the IEEE International Conference on Computer Vision",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "112--119",
booktitle = "2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011",
address = "United States",
note = "13th IEEE International Conference on Computer Vision Workshops, ICCVW 2011 ; Conference date: 06-11-2011 Through 13-11-2011",
}