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Silèye Oumar Ba

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Related publications (5)

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Recognizing Human Visual Focus of Attention from Head Pose in Meetings

Jean-Marc Odobez, Silèye Oumar Ba

We address the problem of recognizing the visual focus of attention (VFOA) of meeting participants based on their head pose. To this end, the head pose observations are modeled using a Gaussian Mixture Model (GMM) or a Hidden Markov Model (HMM) whose hidde ...

2009

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2006

Joint head tracking and pose estimation for visual focus of attention recognition

Silèye Oumar Ba

During the last two decades, computer science what are the ability to give to provide to machines in order to give them the ability to understand human behavior. One of them which is an important key to understand human behaviors, is the visual focus of at ...

EPFL2007

Tracking the visual focus of attention for a varying number of wandering people

Daniel Gatica-Perez, Jean-Marc Odobez, Kevin Smith, Silèye Oumar Ba

In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W) -- determining where a person is looking when their movement is unconstrained. VFOA-W estimation is a new and impo ...

2008

Multiperson Visual Focus of Attention from Head Pose and Meeting Contextual Cues

Jean-Marc Odobez, Silèye Oumar Ba

2011