Within this survey an attempt is made to document the present status of video surveillance
systems. The main components of a surveillance system are presented and studied …

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 …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

A multi-camera system combines features from different cameras to exploit a scene of an
event to increase the output image quality. The combination of two or more cameras …

This paper presents new approaches for gait and activity analysis based on data streams of
a rotating multibeam (RMB) Lidar sensor. The proposed algorithms are embedded into an …

Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …

In this paper we propose a novel methodology for people re-identification based on skeletal
information. Features are evaluated on the skeleton joints and a highly distinctive and …

Ubiquitousness of multiple cameras in surveillance systems is very beneficial for studying
peoples behavior. The multiple views of the observed scene permit the management of …

In this paper, we propose an approach on real-time 3D people surveillance, with
probabilistic foreground modeling, multiple person tracking and on-line re-identification. Our …

Person re-identification (re-id) on robot platform is an important application for human-robot-
interaction (HRI), which aims at making the robot recognize the around persons in varying …