Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …

Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

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 …

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 …

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 …

Intelligent video surveillance is a vital technique in smart city construction, where detection
of surveillance objects is generally achieved by subtracting estimated background from the …

Motion detection is a fundamental step in analyzing video sequences, capable of enhancing
consumer electronics products with increased intelligence, interactivity, and convenience …

The application of deep learning techniques in background subtraction for VHR optical
remote sensing videos holds the potential to facilitate multiple intelligent remote sensing …

Decades of ongoing research have shown that background modelling is a very powerful
technique, which is used in intelligent surveillance systems, in order to extract features of …

Foreground-background separation of surveillance video, that models static background
and extracts moving foreground simultaneously, attracts increasing attentions in building a …