Treating visual object tracking as foreground and background classification problem has
attracted much attention in the past decade. Most methods adopt mean shift or brute force …

A novel visual tracking algorithm using patch-based appearance models is proposed in this
paper. We first divide the bounding box of a target object into multiple patches and then …

In this paper, we propose a new method for modeling appearance variances in generic
object tracking task. Although object tracking has been studied by many researchers for a …

Appearance modeling plays a critical role in robust object tracking, which should be
adaptive to various appearance changes. We propose a new appearance model based on …

A novel statistical method is proposed in this paper to overcome abrupt motion for robust
visual tracking. Existing tracking methods that are based on the small motion assumption are …

In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust
template matching and incremental sub-space update. There are two template matching …

Most tracking algorithms implicitly apply a coarse segmentation of each target object using a
simple mask such as a rectangle or an ellipse. Although convenient, such coarse …

In this paper, we propose a novel tracking framework, multi-cues spatial pyramid matching
(MSPM). Different cues are used to generate a set of probability maps, where the value of …

This paper proposes a new tracking algorithm which combines object and background
information, via building object and background appearance models simultaneously by non …

This paper proposes a visual tracking algorithm that combines motion and appearance in a
statistical framework. It is assumed that image observations are generated simultaneously …