A random walk is known as a random process which describes a path including a
succession of random steps in the mathematical space. It has increasingly been popular in …

Image segmentation is one of the most basic tasks in computer vision and remains an initial
step of many applications. In this paper, we focus on interactive image segmentation (IIS) …

In this paper, we aim to predict human eye fixation with view-free scenes based on an end-to-
end deep learning architecture. Although convolutional neural networks (CNNs) have made …

This paper proposes a deep learning model to efficiently detect salient regions in videos. It
addresses two important issues: 1) deep video saliency model training with the absence of …

Superpixels group perceptually similar pixels to create visually meaningful entities while
heavily reducing the number of primitives for subsequent processing steps. As of these …

In this paper, we propose a real-time image superpixel segmentation method with 50
frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) …

There is a growing demand for image processing in a wide range of applications such as
photography, robotics, television, remote sensing, industrial inspection, and medical …

Visual tracking addresses the problem of localizing an arbitrary target in video according to
the annotated bounding box. In this article, we present a novel tracking method by …

The online learning methods are popular for visual tracking because of their robust
performance for most video sequences. However, the drifting problem caused by noisy …

Clustering algorithms by minimizing an objective function share a clear drawback of having
to set the number of clusters manually. Although density peak clustering is able to find the …