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Journal ArticleDOI

Intelligent distributed surveillance systems: a review

M. Valera, +1 more
- Vol. 152, Iss: 2, pp 192-204
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TLDR
This survey describes the current state-of-the-art in the development of automated visual surveillance systems to provide researchers in the field with a summary of progress achieved to date and to identify areas where further research is needed.
Abstract
This survey describes the current state-of-the-art in the development of automated visual surveillance systems so as to provide researchers in the field with a summary of progress achieved to date and to identify areas where further research is needed. The ability to recognise objects and humans, to describe their actions and interactions from information acquired by sensors is essential for automated visual surveillance. The increasing need for intelligent visual surveillance in commercial, law enforcement and military applications makes automated visual surveillance systems one of the main current application domains in computer vision. The emphasis of this review is on discussion of the creation of intelligent distributed automated surveillance systems. The survey concludes with a discussion of possible future directions.

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A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance

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References
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Journal ArticleDOI

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TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
Journal ArticleDOI

Pfinder: real-time tracking of the human body

TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Journal ArticleDOI

Learning patterns of activity using real-time tracking

TL;DR: This paper focuses on motion tracking and shows how one can use observed motion to learn patterns of activity in a site and create a hierarchical binary-tree classification of the representations within a sequence.
Journal ArticleDOI

W/sup 4/: real-time surveillance of people and their activities

TL;DR: W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
Journal ArticleDOI

The Visual Analysis of Human Movement

TL;DR: A number of promising applications are identified and an overview of recent developments in this domain is provided, including work on whole-body or hand motion and the various methodologies.
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