An approach for tracking the motion of a rigid object using parameterized flow models and a compact-structure constraint is proposed. While polynomial parameterized flow models have been shown to be effective in tracking the rigid motion of planar objects, these models are inappropriate for tracking moving objects that change appearance revealing their 3D structure. We extend these models by adding a structure-compactness constraint that accounts for image motion that deviates from a planar structure. The constraint is based on the assumption that object structure variations are limited with respect to planar object projection onto the image plane and therefore can be expressed as a direct constraint on the image motion. The performance of ...
The dimensionality of visual motion analysis can be reduced by analyzing projections of flow vector ...
We present a new technique for tracking 3D objects in 2D image sequences. We assume that objects are...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
We consider the problem of tracking non-rigid objects moving in a complex scene. We describe a mode...
The static perception of scene structure contributes in part to the perception of 3D motion, in the ...
This paper deals with the development of computer vision techniques for tracking the position of rig...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
In this paper, we propose the combined use of complementary concepts for 3D tracking: region fitting...
This paper describes a new method for tracking objects in 3D motion from image sequences by using co...
In this paper, we present a method for deformable object tracking that exploits the entire image inf...
The talk describes an innovative method to simultaneously estimate motion and track a structure on a...
We propose a dynamical model-based approach for tracking the shape and deformation of highly deformi...
An approach for estimating composite independent object and camera image motions is proposed. The ap...
In this paper, we propose a method for estimating ob-ject motion by three-dimensional scene flow usi...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
The dimensionality of visual motion analysis can be reduced by analyzing projections of flow vector ...
We present a new technique for tracking 3D objects in 2D image sequences. We assume that objects are...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
We consider the problem of tracking non-rigid objects moving in a complex scene. We describe a mode...
The static perception of scene structure contributes in part to the perception of 3D motion, in the ...
This paper deals with the development of computer vision techniques for tracking the position of rig...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
In this paper, we propose the combined use of complementary concepts for 3D tracking: region fitting...
This paper describes a new method for tracking objects in 3D motion from image sequences by using co...
In this paper, we present a method for deformable object tracking that exploits the entire image inf...
The talk describes an innovative method to simultaneously estimate motion and track a structure on a...
We propose a dynamical model-based approach for tracking the shape and deformation of highly deformi...
An approach for estimating composite independent object and camera image motions is proposed. The ap...
In this paper, we propose a method for estimating ob-ject motion by three-dimensional scene flow usi...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
The dimensionality of visual motion analysis can be reduced by analyzing projections of flow vector ...
We present a new technique for tracking 3D objects in 2D image sequences. We assume that objects are...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...