Apr 5, 2011 · In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter ...

Abstract—In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework.

Abstract—In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework.

This paper proposes a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework and extends the ...

In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework.

In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework.

In order to fill this knowledge gap, the part-based tracking algorithms are introduced in this paper for tracking articulated equipment in construction sites.

To address these challenges, this paper proposes a new approach for robust visual object tracking via sparse representation and reconstruction, where two main ...

In this paper, we present a novel robust visual tracking algorithm based on structured sparse representation model. This model includes one fixed template, nine ...

In this paper, we formulate object tracking in a particle filter framework as a multi-task sparse learning problem, which we denote as Multi-Task Tracking ...