Recently, sparse coding has been successfully applied in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on sparse coding. We first …

We propose a multi-expert restoration scheme to address the model drift problem in online
tracking. In the proposed scheme, a tracker and its historical snapshots constitute an expert …

Object tracking is one of the most important components in numerous applications of
computer vision. While much progress has been made in recent years with efforts on sharing …

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 …

Adaptive tracking-by-detection methods are widely used in computer vision for tracking
arbitrary objects. Current approaches treat the tracking problem as a classification task and …

Sparse representation has been applied to visual tracking by finding the best candidate with
minimal reconstruction error using target templates. However most sparse representation …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Modeling the target appearance is critical in many modern visual tracking algorithms. Many
tracking-by-detection algorithms formulate the probability of target appearance as …

Recently sparse representation has been applied to visual tracker by modeling the target
appearance using a sparse approximation over a template set, which leads to the so-called …

In this paper, we formulate object tracking in a particle filter framework as a structured multi-
task sparse learning problem, which we denote as Structured Multi-Task Tracking (S-MTT) …