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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Carmi, A.Y. Mihaylova, L. Septier, F. Sze Kim Pang Gurfil, P. Godsill, S.J. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computing and Communications, Lancaster University, United Kingdom (Mihaylova, L.) || Signal Processing and Information Theory Group, TELECOM Lille 1, France (Septier, F.) || Department of Aerospace Engineering, Technion - Israel Institute of Technology, Israel (Gurfil, P.) || Department of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore (Carmi, A.Y.) || Department of Engineering, University of Cambridge, United Kingdom (Godsill, S.J.) || DSO National Laboratories, Singapore (Sze Kim Pang) |
| 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. |
| Starting Page | 112 |
| Ending Page | 119 |
| File Size | 1083564 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467300629 |
| e-ISBN | 9781467300636 |
| DOI | 10.1109/ICCVW.2011.6130232 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lead |
| Content Type | Text |
| Resource Type | Article |
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