In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification from disturbed videos.

In this work we present a novel multi-modal mixed-state dynamic. Bayesian network (DBN) for robust meeting event classification from disturbed videos. The model ...

In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification from disturbed videos.

A multi-modal graphical model for robust recognition of group actions in meetings from disturbed videos · Reduced Complexity and Scaling for Asynchronous HMMS in ...

We then show how the AHMM can be applied to the analysis of group action events in meetings from both clear and disturbed data. The AHMM outperforms an early ...

Rigoll, “A multi-modal graphical model for robust recognition of group actions in meetings from dis- turbed videos,” in Proc. ICIP, 2005. [11] S. Bengio ...

We present an unobtrusive vision based system for the recognition of situations in group meetings. The system uses a three-stage architecture, consisting of one ...

In this work we present a novel multi-modal mixed-state dynamic Bayesian network. (DBN) [1, 2] for robust meeting event classification from disturbed videos.

Al-Hames, M., Rigoll, G.: A multi-modal graphical model for robust recognition of group actions in meetings from disturbed videos. In: Proc. IEEE ICIP ...

In this work a new multi-modal mixed-state DBN for robust meeting event recognition from clear and disturbed data has been presented. Three audio and visual ...