Add to ORKGThe paper presents an appearance-based adaptive algorithm for simultaneous tracking and recognition by generalizing the transformation model to 3D perspective transformation. A trilinear tensor operator is used to represent the 3D geometrical structure. The tensor is estimated by predicting the corresponding points using the existing affine-transformation based algorithm. The estimated tensor is used to synthesize novel views to update the appearance templates. Some experimental results using airborne video are presented. 1
In this work, we present a framework for tracking objects in changing views by finding the subwindow...
In this paper we describe our work on 3-D modelbased tracking and recognition of human movement from...
International audienceIn this paper, a trifocal tensor-based approach is developed for 6 degrees-of-...
In the visual tracking scenarios, if there are multiple objects, due to the interference of similar ...
Most existing color-based tracking algorithms utilize the statistical color information of the objec...
This paper describes methods for tracking using point and line features in affine views to provide f...
This diploma thesis was done from December 2004 to May 2005 at the Fraunhofer Institute for Graphica...
. The topic of representation, recovery and manipulation of three-dimensional (3D) scenes from two-d...
We propose a method to augment live video based on the tracking of natural features, and the online ...
This paper describes a novel approach to automatically recognize the target based on a view morphing...
This paper presents algorithms for tracking unknown objects in the presence of zoom. Since prior mod...
We propose a geometric approach to 3-D motion segmentation from point correspondences in three persp...
This article describes a method to track 3D articulated structures from a monocular perspective imag...
We present a new method for rendering novel images of flexible 3D objects from a small number of exa...
We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line...
In this work, we present a framework for tracking objects in changing views by finding the subwindow...
In this paper we describe our work on 3-D modelbased tracking and recognition of human movement from...
International audienceIn this paper, a trifocal tensor-based approach is developed for 6 degrees-of-...
In the visual tracking scenarios, if there are multiple objects, due to the interference of similar ...
Most existing color-based tracking algorithms utilize the statistical color information of the objec...
This paper describes methods for tracking using point and line features in affine views to provide f...
This diploma thesis was done from December 2004 to May 2005 at the Fraunhofer Institute for Graphica...
. The topic of representation, recovery and manipulation of three-dimensional (3D) scenes from two-d...
We propose a method to augment live video based on the tracking of natural features, and the online ...
This paper describes a novel approach to automatically recognize the target based on a view morphing...
This paper presents algorithms for tracking unknown objects in the presence of zoom. Since prior mod...
We propose a geometric approach to 3-D motion segmentation from point correspondences in three persp...
This article describes a method to track 3D articulated structures from a monocular perspective imag...
We present a new method for rendering novel images of flexible 3D objects from a small number of exa...
We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line...
In this work, we present a framework for tracking objects in changing views by finding the subwindow...
In this paper we describe our work on 3-D modelbased tracking and recognition of human movement from...
International audienceIn this paper, a trifocal tensor-based approach is developed for 6 degrees-of-...