During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Fall detection (FD) system tends to monitor the fall events with restricted movement patterns
and provides alerts to detect actions and corresponds to human falls. Based on high-level …

Removing image shadows has been a challenging task in computer vision due to its
diversity and complexity. Shadow removal techniques have been greatly enhanced by deep …

Video foreground extraction has been widely applied to quantitative fields and attracts great
attention all over the world. Nevertheless, the performance of a such method can be easily …

Object detection with shadow removal is one of the challenging issues in computer vision.
Dynamic shadow resembles a moving object's properties, so separating this shadow from …

Moving object detection is one of the essential tasks for surveillance video analysis. The
dynamic background often composed by waving trees, rippling water or fountains, etc. in …

Background subtraction aims to extract moving objects from a video sequence which is a
prerequisite for high-level surveillance video analysis. There are many challenges triggered …

To select videos to compose a change detection dataset, we can consider the videos'
difficulty level. We need to use difficulty maps, which store values representing the pixels' …

The evaluation of a change detection algorithm should show its superiority over state-of-the-
art algorithms' performances. Evaluating an algorithm involves executing it to segment a set …

Background subtraction is a prerequisite for a wide range of applications, including video
surveillance systems. A significant number of algorithms are often developed and published …