Visual object tracking is a fundamental function of computer vision that has been the object
of numerous studies. The diversity of the proposed approaches leads to the idea of trying to …

When detecting diverse infrared (IR) small maritime targets on complicated scenes, the
existing methods get into trouble and unsatisfactory performance. The main reasons are as …

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object
visual trackers that do not apply pre-learned models of object appearance. Results of 70 …

Multimodal (RGB and thermal) applications are swiftly gaining importance in the computer
vision community with advancements in self-driving cars, robotics, Internet of Things, and …

Maritime surveillance contributes in the security of ports, oil platforms, and coastal littoral by
detecting unusual activities such as unlicensed fishing boats, pirate attacks, and human …

Short-wave infrared (SWIR) imaging has significant advantages in challenging propagation
conditions where the effectiveness of visible-light and thermal imaging is limited. Object …

针对背景杂乱, 遮挡, 热交叉以及目标形变等复杂跟踪场景下目标跟踪算法出现性能严重退化
问题, 提出一种基于自适应标签和稀疏学习相关滤波的实时红外单目标跟踪算法. 首先 …

Existing thermal infrared (TIR) trackers based on correlation filters cannot adapt to the abrupt
scale variation of nonrigid objects. This deficiency could even lead to tracking failure. To …

Aerial surveillance and tracking have gained significant traction in recent years for both
civilian applications and military reconnaissance. Disaster analysis, emergency medical …

Video analytic techniques have been used to extract high level information from video
streams. The technique leverages advances on machine learning to summarize complex …