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 …

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

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 …

There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …

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 …

Numerous approaches on object tracking have been proposed during the past decade with
demonstrated success. However, most tracking algorithms are evaluated on limited video …

General object tracking is a challenging problem, where each tracking algorithm performs
well on different sequences. This is because each of them has different strengths and …

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 …

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 …

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