We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
This paper presents an algorithm for tracking the articulate hand motion in monocular video sequences. The task is challenging due to the high degrees of freedom involved in the h...
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...