Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Abstract Systems and techniques are provided for tracking puts and takes of inventory items
by subjects in an area of real space. A plurality of cameras with overlapping fields of view …

One of the main and most effective measures to contain the recent viral outbreak is the
maintenance of the so-called Social Distancing (SD). To comply with this constraint …

Our goal is to develop a visual monitoring system that passively observes moving objects in
a site and learns patterns of activity from those observations. For extended sites, the system …

Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one
of the most active research topics in computer vision. It has a wide spectrum of promising …

The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

We propose a novel approach for modelling correlations between activities in a busy public
space captured by multiple non-overlapping and uncalibrated cameras. In our approach …

Virtual immersive environments or telepresence setups often consist of multiple cameras
that have to be calibrated. We present a convenient method for doing this. The minimum is …

The Video Surveillance and Monitoring (VSAM) team at Carnegie Mellon University (CMU)
has developed an end-to-end, multicamera surveillance system that allows a single human …