Appearance Tracker Based on Sparse Eigentemplate
نویسندگان
چکیده
A novel scheme is proposed for the efficient object tracking by using partial projections of a sparse set of pixels to eigenspaces. This paper shows a theoretical framework of the sparse eigentemplate matching and its application to a real-time face tracker. The sparse eigentemplate matching is formalized as a partial projection onto an eigenspace. Only using a small number of pixels, it facilitates an efficient template matching. In the application, a condensation framework is combined with the sparse eigentemplate matching in order to make a robust and efficient tracker. Experimental results show that the condensation tracker can track a face in real time even when the lighting condition changes.
منابع مشابه
Online Hierarchical Sparse Representation of Multifeature for Robust Object Tracking
Object tracking based on sparse representation has given promising tracking results in recent years. However, the trackers under the framework of sparse representation always overemphasize the sparse representation and ignore the correlation of visual information. In addition, the sparse coding methods only encode the local region independently and ignore the spatial neighborhood information of...
متن کاملImproving Appearance-based 3d Face Tracking Using Sparse Stereo Data
Recently, researchers proposed deterministic and statistical appearance-based 3D head tracking methods which can successfully tackle the image variability and drift problems. However, appearance-based methods dedicated to 3D head tracking may suffer from inaccuracies since these methods are not very sensitive to out-of-plane motion variations. On the other hand, the use of dense 3D facial data ...
متن کاملRobust Visual Object Tracking via Sparse Representation and Reconstruction
Visual object tracking plays an essential role in vision based applications. Most of the previous research has limitations due to the non-discriminated features used or the focus on simple template matching without the consideration of appearance variations. To address these challenges, this paper proposes a new approach for robust visual object tracking via sparse representation and reconstruc...
متن کاملVisual Tracking with Fragments-Based PCA Sparse Representation
In this paper, we propose a robust tracking method with a novel appearance model based on fragments-based PCA sparse representation. It samples non-overlapped local image patches within the templates in PCA subspace. Then, the candidate local image patches are sparse represented by the local template patches in PCA subspace. Finally, tracking is continued using the particle filter for propagati...
متن کاملAppearance-based Person Tracking and 3d Pose Estimation of Upper-body and Head
In the field of human-robot interaction (HRI), recognition of humans in a robot’s surroundings is a crucial task. Besides the localization, the estimation of a person’s 3D pose based on monocular camera images is a challenging problem on a mobile platform. For this purpose, an appearancebased approach, using a 3D model of the human upper body, has been developed end experimentally investigated....
متن کامل