Object tracking is an essential problem in computer vision that has been extensively
researched for decades. Tracking objects in thermal images is particularly difficult because …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

Spatial regularization (SR) is known as an effective tool to alleviate the boundary effect of
correlation filter (CF), a successful visual object tracking scheme, from which a number of …

Tower cranes are very common at construction sites. As workers focus most of their attention
on their own tasks, their ability to detect changes in the surrounding environment is reduced …

For visual object tracking, most of the traditional correlation filters (CF) based methods suffer
from the bottleneck of feature redundancy and lack of motion information. In this paper, we …

基于深度学习的目标跟踪方法研究现状与展望 Page 1 基于深度学习的目标跟踪方法研究现状与
展望 罗海波1,2,3,4,许凌云1,2,3,4,惠斌1,3,4,常铮1,3,4 (1. 中国科学院沈阳自动化研究所,辽宁 …

Recently Siamese-based trackers have shown their outstanding performance in visual
object tracking community. But they seldom pay attention to the inter-branch interaction as …

Visual object tracking is an important task in computer vision, which has many real-world
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …

Recently deep neural networks have been widely employed to deal with the visual tracking
problem. In this work, we present a new deep architecture which incorporates the temporal …

Automatic pterygium detection is an essential screening tool for health community service
groups. It allows non-expert to perform screening process without the needs of big and …