Abstract Discriminative Correlation Filters (DCFs) have demonstrated excellent performance
in visual object tracking. These methods utilize a periodic assumption of the training …

Abstract The Bag of Words (BoW) model is one of the most popular and effective image
representation methods and has been drawn increasing interest in computer vision filed …

In this paper, we propose a novel method to track non-rigid and/or articulated objects using
superpixel matching and markov random field (MRF). Our algorithm consists of three stages …

In this paper a novel patch-based tracking algorithm is proposed by using two-stage multiple
kernel learning. In the first stage, each object patch is represented with multiple features …

This paper proposes a new tracking method based on multilayer feature combination. In
each layer, the target is segmented into local patches, and patch sizes of different layers are …

To improve the robust and processing speed of the Tracking-Learning-Detection (TLD), the
robust and fast TLD tracker is proposed. Replacing with the forward-backward error …

Research and experimentation in various scientific fields are based on the knowledge and
ideas from scholarly literature. The advancement of research and development has, thus …