Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

A public, complete, compact, and well structured database is proposed, which allows to test
moving object detection strategies. The database is composed of many real indoor and …

The paper provides a specific perspective view on background subtraction for moving object
detection, as a building block for many computer vision applications, being the first relevant …

Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …

Owing to its powerful adaptability and robustness to the weak light, the infrared camera
equipped on the unmanned aerial vehicle is more and more applied for aerial photography …

Background subtraction (BS) is one of the most commonly encountered tasks in video
analysis and tracking systems. It distinguishes the foreground (moving objects) from the …