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 …

Object tracking has gained much interest in the last few years, especially in the context of
multiple object tracking. Many datasets used for tracking provide video sequences of people …

Maritime surveillance is important for applications in safety and security, but the visual
detection of objects in maritime scenes remains challenging due to the diverse and …

Maritime obstacle detection is critical for safe navigation of autonomous surface vehicles
(ASVs). While the accuracy of image-based detection methods has advanced substantially …

Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from
both academia and industry. To make a high-level autonomy for USVs, the environment …

This paper presents a new method for object detection and tracking based on visual
saliency as a way of mitigating against challenges present in maritime environments. Object …

In the maritime scene, visible light sensors installed on ships have difficulty accurately
detecting the sea–sky line (SSL) and its nearby ships due to complex environments and six …

Currently, deep learning is extensively utilized for ship target detection; however, achieving
accurate and real-time detection of multi-scale targets remains a significant challenge …

Recognition of obstacle type based on visual sensors is important for navigation by
unmanned surface vehicles (USV), including path planning, obstacle avoidance, and …

Vision-based Marine ship detection has been explored for many years, effectively improving
maritime transportation management. However, many ship detection methods get troubles …