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Conference papers
MCMC-Based Tracking and Identification of Leaders in Groups
Abstract : We present a novel framework for identifying and track- ing 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 shap- ing 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 pro- posed scheme in identifying actual leaders in swarms of in- teracting agents and moving crowds.
Cited literature [21 references]
https://hal-imt.archives-ouvertes.fr/hal-00685921
Contributor : François Septier <>
Submitted on : Friday, April 6, 2012 - 1:03:44 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:23 PM
Long-term archiving on: : Saturday, July 7, 2012 - 2:35:09 AM
Contributor : François Septier <>
Submitted on : Friday, April 6, 2012 - 1:03:44 PM
Last modification on : Tuesday, November 24, 2020 - 2:18:23 PM
Long-term archiving on: : Saturday, July 7, 2012 - 2:35:09 AM
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