MCMC-based tracking and identification of leaders in groups
MCMC-based tracking and identification of leaders in groups
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DOI：
10.1109/iccvw.2011.6130232
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Avishy Carmi;L. Mihaylova;F. Septier;S. K. Pang;P. Gurfil;S. Godsill
中科院分区：
文献类型：
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作者：
Avishy Carmi;L. Mihaylova;F. Septier;S. K. Pang;P. Gurfil;S. Godsill
我们提出了一个新的框架，用于识别和跟踪群体中的主导代理。我们提出的方法依赖于一个因果关系检测方案，该方案能够对代理人在塑造系统的集体行为方面的贡献进行排名，这些行为完全基于代理人观察到的轨迹。此外，推理范式是强大的多个排放和杂波采用一类最近推出的马尔可夫链蒙特卡洛为基础的组跟踪方法。提供的例子表明，在确定实际的领导人在成群的互动代理和移动人群的强大潜力的建议计划。
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.