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Motion Modeling: Can We Get Rid of Motion Capture?

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3D Human Body Tracking using Deterministic Temporal Motion Models

Pascal Fua, Raquel Urtasun

By contrast, in this paper, we use temporal motion models based on Principal Component Analysis to formulate the tracking problem as one of minimizing differentiable objective functions. The differential structure of these functions is rich enough to yield ...

2004

3D Tracking for Gait Characterization and Recognition

Pascal Fua, Raquel Urtasun

We propose an approach to gait analysis that relies on fitting 3--D temporal motion models to synchronized video sequences. These models allow us not only to track but also to recover motion parameters that can be used to recognize people and characterize ...

2004

Capturing human motion using body-fixed sensors: Outdoor measurement and clinical applications

Kamiar Aminian, Bijan Najafi

Motion capture is mainly based on standard systems using optic, magnetic or sonic technologies. In this paper, the possibility to detect useful human motion based on new techniques using different types of body-fixed sensors is shown. In particular, a comb ...

2004

Style-based Motion Synthesis

Daniel Thalmann, Pascal Fua, Ronan Boulic, Raquel Urtasun, Pascal Glardon

Representing motions as linear sums of principal components has become a widely accepted animation technique. While powerful, the simplest version of this approach is not particularly well suited to modeling the specific style of an individual whose motion ...

Wiley-Blackwell2004

Motion Level-of-Detail: A Simplification Method on Crowd Scene

Junghyun Ahn

Recent technological improvement in character animation has increased the number of characters that can appear in a virtual scene. Besides, skeletal and mesh structures are expected to be more complex in the future. Therefore, simulating massive characters ...

2004

Mahalanobis Motion Generation

Daniel Thalmann, Pascal Fua, Raquel Urtasun, Pascal Glardon

2004

Using biomechanical constraints to improve video-based motion capture

Lorna Herda

In motion capture applications whose aim is to recover human body postures from various input, the high dimensionality of the problem makes it desirable to reduce the size of the search-space by eliminating a priori impossible configurations. This can be c ...

EPFL2004

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

Unified approach to reconstruction and modification of motion and image data

Daniel Thalmann

This article describes an approach based on hierarchical radial basis functions for the reconstruction and modification of motion/image data, which are formulated as problems of scattered data interpolation. Assuming little about the data and choosing high ...

IEEE2002