Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Background/foreground separation is the first step in video surveillance system to detect
moving objects. Recent research on problem formulations based on decomposition into low …

Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …

Foreground detection is the first step in video surveillance system to detect moving objects.
Recent research on subspace estimation by sparse representation and rank minimization …

Video background modeling is an important preprocessing step in many video analysis
systems. Principal component pursuit (PCP), which is currently considered to be the state-of …

The effectiveness of supervised learning techniques has made them ubiquitous in research
and practice. In high-dimensional settings, supervised learning commonly relies on …

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image
and Video Processing shows you how robust subspace learning and tracking by …

The You Only Look Once (YOLO) series has been widely adopted across various domains.
With the increasing prevalence of continuous satellite observation, the resulting video …

Specular reflections (ie, highlight) always exist in endoscopic images, and they can severely
disturb surgeons' observation and judgment. In an augmented reality (AR)-based surgery …

Probably the most important technological invention of the previous century was the
transistor. And another very important invention was the digital computer, which got a …