RGB-D cameras which become popular in recent years have brought new opportunities as
well as challenges to many computer vision tasks. However how to fully make use of the …

Since occlusion still be a challenge for object tracking in RGB data. In this paper, we
propose an RGBD single-object tracker that built upon the well-known base KCF tracker and …

RGB-D tracking has attracted attentions of researchers in computer vision community, there
is still a need to boost processing rate. We propose a RGB-D tracker based on color-only …

Robust scale estimation and occlusion handling are two challenging problems in visual
target tracking. Most existing methods do not perform well with complex image sequences …

Feature representation is at the core of visual tracking. This paper presents a robust tracking
method in RGB-D videos. Firstly, the RGB and depth images are separately encoded using …

In this paper, we proposed a novel visual tracking system by constructing the Constrained
Correlation Filter (CCF) with Depth Information. More specifically, in our proposed system, to …

Recently, the surge of depth sensors makes RGBD data available and facilitates the
development of RGBD tracking. Inspired by the popularity of discriminative correlation filter …

This paper proposes a new RGB-D tracker which is upon Kernelized Correlation Filter (KCF)
with deep features. KCF is a high-speed target tracker. However, the HOG feature used in …

Although there has been significant progress in the past decade, tracking is still a very
challenging computer vision task, due to problems such as occlusion and model drift …

Recently correlation filter based trackers have attracted considerable attention for their high
computational efficiency. However, they cannot handle occlusion and scale variation well …