Object tracking is a computer vision task that aims to locate and continuously follow the
movement of an object in video frames, given an initial annotation. Despite its importance …

This paper aims at highlighting cutting-edge research results in the field of visual tracking by
deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area …

Graph convolutional networks (GCN), which can model the human body skeletons as spatial
and temporal graphs, have shown remarkable potential in skeleton-based action …

Computer vision systems cannot function without visual target tracking. Intelligent video
monitoring, medical treatment, human‐computer interaction, and traffic management all …

Single-object visual tracking aims at locating a target in each video frame by predicting the
bounding box of the object. Recent approaches have adopted iterative procedures to …

The natural deep Q-network (DQN) usually requires a long training time because the data
usage efficiency is relatively low due to uniform sampling. Importance sampling (IS) can …

Visual object tracking plays a crucial role in various vision systems, including biometric
analysis, medical imaging, smart traffic systems, and video surveillance. Despite notable …

Emerging technologies have always been a strong driving force for the continuous
development of Computer Network Technology (CNT). A variety of emerging technologies …