Audio-visual tracking of an unknown number of concurrent speakers in 3D is a challenging
task, especially when sound and video are collected with a compact sensing platform. In this …

Convolutional neural networks (CNNs) have been applied to visual tracking with
demonstrated success in recent years. However, the performance of CNN-based trackers …

In view of the problem that the traditional tracker does not adapt to the large displacement or
abrupt motion well, the optimization method attracts more and more attention for a robust …

This paper presents a dynamic representation-based tracker (DRT) to handle occlusions in
the long-term pedestrian tracking of a single target. In our DRT, an adaptive representation …

Correlation filtering-based visual tracking has achieved impressive success in terms of both
tracking accuracy and computational efficiency. In this paper, a novel correlation filtering …

Object detection methods draw increasing attention in deep learning based visual tracking
algorithms due to their robust discrimination and powerful regression ability. To further …

Phytoplankton, a crucial component of aquatic ecosystems, requires efficient monitoring to
understand marine ecological processes and environmental conditions. Traditional …

Moth-flame optimization algorithm (MFO) is a new meta-heuristic optimization algorithm that
mimics the motion of moths flight around the flames. In this work, a novel MFO-based visual …

This paper aims at solving the problem of target drifting or losing due to the dramatic
changes in the appearance of the target caused by the presence of severe target occlusion …

Visual tracking is a challenging task in computer vision. Correlation filter (CF) based visual
tracking algorithm has become an attractive tracking technique, while there are still some …