While color information is known to provide rich discriminative clues for visual inference,
most modern visual trackers limit themselves to the grayscale realm. Despite recent efforts to …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

This paper addresses the problem of single-target tracker performance evaluation. We
consider the performance measures, the dataset and the evaluation system to be the most …

We present an online visual tracking algorithm by managing multiple target appearance
models in a tree structure. The proposed algorithm employs Convolutional Neural Networks …

In this paper, we address the problem of model-free online object tracking based on color
representations. According to the findings of recent benchmark evaluations, such trackers …

Correlation filter based trackers are ranked top in terms of performances. Nevertheless, they
only employ a single kernel at a time. In this paper, we will derive a multi-kernel correlation …

We propose an online tracking algorithm that adaptively models target appearances based
on an online gradient boosting decision tree. Our algorithm is particularly useful for non-rigid …

In this paper, we propose an adaptive region proposal scheme with feature channel
regularization to facilitate robust object tracking. We consider tracking as a linear regression …

Correlation filter (CF) based trackers are currently ranked top in terms of their performances.
Nevertheless, only some of them, such as KCF [henriques12&15] and MKCF [tang&Feng15} …

One of the most popular approaches to multi-target tracking is tracking-by-detection. Current
min-cost flow algorithms which solve the data association problem optimally have three …