We propose a method for object tracking using prototype-based deformable template
models. To track an object in an image sequence, we use a criterion which combines two …

In this paper, we present the ALIEN tracking method that exploits oversampling of local
invariant representations to build a robust object/context discriminative classifier. To this …

We propose a complete solution to robust and accurate object tracking in face of various
types of occlusions which pose many challenges to correct judgment of occlusion situation …

抄録< jats: p> The goal of this article is to review the state-of-the-art tracking methods,
classify them into different categories, and identify new trends. Object tracking, in general, is …

While some efforts have been paid to handle deformation and occlusion in visual tracking,
they are still great challenges. In this paper, a dynamic graph-based tracker (DGT) is …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Visual tracking, in essence, deals with non-stationary image streams that change over time.
While most existing algorithms are able to track objects well in controlled environments, they …

This paper addresses the problem of tracking objects which undergo rapid and significant
appearance changes. We propose a novel coupled-layer visual model that combines the …

Enormous uncertainties in unconstrained environments lead to a fundamental dilemma that
many tracking algorithms have to face in practice: Tracking has to be computationally …

A tracking-by-detection framework is proposed that combines nearest-neighbor
classification of bags of features, efficient subwindow search, and a novel feature selection …