In this paper, we propose a novel on-line visual tracking framework based on the Siamese
matching network and meta-learner network, which run at real-time speeds. Conventional …

Sparse representation has been introduced to visual tracking by finding the best target
candidate with minimal reconstruction error within the particle filter framework. However …

Conventional visual ship tracking methods employ single and shallow features for the ship
tracking task, which may fail when a ship presents a different appearance and shape in …

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 …

Visual object tracking is a significant technology for camera-based sensor networks
applications. Multilayer convolutional features comprehensively used in correlation filter …

We propose a novel measure for template matching named Deformable Diversity Similarity--
based on the diversity of feature matches between a target image window and the template …

Cross-correlator plays a significant role in many visual perception tasks, such as object
detection and tracking. Beyond the linear cross-correlator, this paper proposes a kernel …

Most of the existing single object trackers track the target in a unitary local search window,
making them particularly vulnerable to challenging factors such as heavy occlusions and out …

The objective of the present study is to design a correlation filter-based tracking method for
robust visual object tracking. In the literature, numerous tracking methods have been …

While representation learning aims to derive interpretable features for describing visual
data, representation disentanglement further results in such features so that particular image …