Concept

Stop motion

Related publications (91)

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Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

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 ...

2004

Motion likelihood and proposal modeling in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez

Particle filtering is now established as one of the most popular methods for visual tracking. Within this framework, there are two important considerations. The first one refers to the generic assumption that the observations are temporally independent giv ...

IDIAP2004

Spatio-Temporal Shadow Segmentation and Tracking

Touradj Ebrahimi, Elena Salvador

Shadow segmentation is a critical issue for systems aiming at extracting, tracking or recognizing objects in a given scene. Shadows can in fact modify the shape and colour of objects and therefore affect scene analysis and interpretation systems in many ap ...

SPIE2003

Embedding Motion in Model-Based Stochastic Tracking

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

Particle filtering is now established as one of the most popular method 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. In this paper ...

IDIAP2003

Construction of animation models out of captured data

Daniel Thalmann

This article describes a method of constructing parametric models out of captured motion and skeleton data. Casting the problem as scattered data interpolation, our work is based on a multi-step approximation for the interpolation function with motion data ...

IEEE2002

Behavioural animation of virtual humans: what kind of laws and rules ?

Daniel Thalmann, Jean-Sébastien Monzani

Interactive systems, games, VR and multimedia systems require more and more flexible Virtual Humans with individualities. Behavioral animation seems to be the best way to develop this kind of applications, but there is still a major problem to select the r ...

IEEE Comput. Soc2002

Key-posture extraction out of human motion data

Daniel Thalmann

Recent progress in 3-D capture technology has made it possible to obtain much of realistic motion data of human subjects. Being captured in high frame rates, compression or extraction of key postures out of the motion data is useful for storage, transfer a ...

IEEE2001

KAIST Interactive Bicycle Simulator

Junghyun Ahn

This paper presents key technologies and system integration issues of the KAIST interactive bicycle simulator. The rider on the bicycle feels the motion and has the visual experience as if he/she is riding in the campus of the Korea Advanced Institute of S ...

IEEE2001

Visualization of local movements for optimal marker positioning

Daniel Thalmann, Ronan Boulic, Marius-Calin Silaghi

Motion capture has been adopted for the production of highly realistic movements, as well as for the clinical analysis of pathological motion. In both cases, a skeleton model has to be identified to derive the joint motion. The optical technology has gaine ...

2000

Versatile tuning of humanoid agent activity

Daniel Thalmann, Ronan Boulic

Presents an integration framework for heterogeneous motion generators. The objective is to outline issues that are currently easily solved in the professional post-processing systems used in film and game production but which cannot be transposed “as ...

Blackwell Publishers for Eurographics Assoc2000