We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …

In this work, we present a novel background subtraction from video sequences algorithm
that uses a deep Convolutional Neural Network (CNN) to perform the segmentation. With …

Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …

Background subtraction techniques are often treated as fundamental and significant ways to
analyze and understand video content. In this paper, we propose a weight-sample-based …

In this paper, we present a complete change detection system named multimode
background subtraction. The universal nature of system allows it to robustly handle multitude …

Background subtraction is often used as the first step in video analysis and smart
surveillance applications. However, the issue of inconsistent performance across different …

Moving object detection is the foundation of research in many computer vision fields. In
recent decades, a number of detection methods have been proposed. Relevant surveys …

Change detection is an elementary task in computer vision and video processing
applications. Recently, a number of supervised methods based on convolutional neural …

In this work, we present a novel background subtraction system that uses a deep
Convolutional Neural Network (CNN) to perform the segmentation. With this approach …

Moving object detection is about foreground and background separation based on motion
detection. Detecting moving objects from similarly colored background (known as …