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Robust Infants Face Tracking with Active Appearance Model : a Mixed State Condensation Approach

Related publications (45)

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Vision Tape - a novel class of flexible vision sensor for robots and humans

Dario Floreano, Ramon Pericet Camara, Michal Karol Dobrzynski, Géraud L'Eplattenier

Vision Tape is a novel class of flexible compound-eye-like linear vision sensor dedicated to motion extraction and proximity estimation. This novel sensor possesses intrinsic mechanical flexibility that provides wide-range adaptive shape, allowing adjustab ...

2011

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

Andrea Fossati

The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...

EPFL2010

Learning Pose Invariant and Covariant Classifiers from Image Sequences

Mustafa Özuysal

Object tracking and detection over a wide range of viewpoints is a long-standing problem in Computer Vision. Despite significant advance in wide-baseline sparse interest point matching and development of robust dense feature models, it remains a largely op ...

EPFL2010

View-Based Appearance Model Online Learning for 3D Deformable Face Tracking

Jean-Marc Odobez, Stephanie Lefèvre

In this paper we address the issue of joint estimation of head pose and facial actions. We propose a method that can robustly track both subtle and extreme movements by combining two types of features: structural features observed at characteristic points ...

2010

Automatic face analysis in static and dynamic environments

Matteo Sorci

Faces play a vital role in people's daily lives, as they are able to convey many different information and above all their behaviour and emotions. Therefore, for decades the face has been investigated by researchers in several fields such as computer scien ...

EPFL2009

Observable Subspaces for 3D Human Motion Recovery

Pascal Fua, Mathieu Salzmann, Andrea Fossati

The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. The true range of motion can therefore be represented by latent variables that span a low-dimen ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Fast multi-view face tracking with pose estimation

Jean-Philippe Thiran, Javier Cruz Mota, Julien Meynet

In this paper, a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classiﬁers built using either Haar-like ﬁlters or Gauss ﬁlters. A ﬁrst classiﬁer extra ...

2008

Fast multi-view face tracking with pose estimation

Jean-Philippe Thiran, Javier Cruz Mota, Julien Meynet

In this paper, a fast and effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose, we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier ex ...

2008

Objektverfolgung mit Partikel-Filtern

Die Analyse des zeitlichen Ablaufs der Bewegung von Objekten im Abbildungsbereich einer Kamera (Objektverfolgung oder engl. object tracking) erlaubt die Ableitung von verkehrlich relevanten Parametern, aber auch Rückschlüsse für eine automatische Beschreib ...

2008

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