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

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 …

Person re-identification across cameras remains a very challenging problem, especially
when there are no overlapping fields of view between cameras. In this paper, we present a …

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 …

Matching people across nonoverlapping camera views at different locations and different
times, known as person reidentification, is both a hard and important problem for associating …

Matching people across non-overlapping camera views, known as person re-identification,
is challenging due to the lack of spatial and temporal constraints and large visual …

This paper introduces Pairwise Constrained Component Analysis (PCCA), a new algorithm
for learning distance metrics from sparse pairwise similarity/dissimilarity constraints in high …

Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in
computer vision. This is likely due to the difficulty in matching two objects with unknown …

In a crowded public space, people often walk in groups, either with people they know or
strangers. Associating a group of people over space and time can assist understanding …

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 …