Abstract Moving Object Segmentation (MOS) is an important topic in computer vision. MOS
becomes a challenging problem in the presence of dynamic background and moving …

Moving Object Segmentation (MOS) is a fundamental task in computer vision. Due to
undesirable variations in the background scene, MOS becomes very challenging for static …

Background subtraction (BGS) is a fundamental video processing task which is a key
component of many applications. Deep learning-based supervised algorithms achieve very …

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 …

Foreground-background segmentation (FBS) is one of the prime tasks for automated video-
based applications like traffic analysis and surveillance. The different practical scenarios like …

Using dynamic surveillance cameras for security has significantly increased the privacy
concerns for captured individuals. Malicious users may misuse these videos by performing …

Semantic segmentation is a fundamental topic in computer vision. Several deep learning
methods have been proposed for semantic segmentation with outstanding results. However …

A roadside sensing unit can provide over-the-horizon perception information for
autonomous vehicles due to its high perception perspective. However, numerous …

Recently, some successful applications used by robust principal component analysis
(RPCA) have boosted the exploration of pattern recognition, especially for moving object …

Change detection is the foundation of intelligent video surveillance of the airport ground.
However, experiments have shown that change detection algorithms with good performance …