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 …

This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

The availability of an initial background model that describes the scene without foreground
objects is the prerequisite for a wide range of applications, ranging from video surveillance …

Recent feasibility studies involving children with autism spectrum disorders (ASD)
interacting with socially assistive robots have shown that some children have positive …

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In
order to act, situational awareness is needed to decide what to do. Geolocalized photos and …

Video-based automatic incident detection (AID) systems are increasingly being used in
intelligent transportation systems (ITS). Video-based AID is a promising method of incident …

Traffic surveillance is an important topic in computer vision and intelligent transportation
systems and has intensively been studied in the past decades. However, most of the state-of …

Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To
promote water sports activities, it is crucial to develop surveillance systems that enhance …

Due to advances in information technology (eg, digital video cameras, ubiquitous sensors),
the automatic detection of human behaviors from video is a very recent research topic. In this …