Next Article in Journal
Small Magnetic Sensors for Space Applications
Next Article in Special Issue
Electrochemical Direct Determination of Catecholamines for the Early Detection of Neurodegenerative Diseases
Previous Article in Journal
The Micro-Pillar Shear-Stress Sensor MPS3 for Turbulent Flow
Previous Article in Special Issue
Determination of Lactoferrin and Immunoglobulin G in Animal Milks by New Immunosensors
Sensors 2009, 9(4), 2252-2270; doi:10.3390/s90402252
Review

Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy

* ,
,
 and
Received: 9 January 2009 / Revised: 25 March 2009 / Accepted: 26 March 2009 / Published: 30 March 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy)
View Full-Text   |   Download PDF [2055 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

The paper is a survey of the main technological aspects of advanced visual-based surveillance systems. A brief historical view of such systems from the origins to nowadays is given together with a short description of the main research projects in Italy on surveillance applications in the last twenty years. The paper then describes the main characteristics of an advanced visual sensor network that (a) directly processes locally acquired digital data, (b) automatically modifies intrinsic (focus, iris) and extrinsic (pan, tilt, zoom) parameters to increase the quality of acquired data and (c) automatically selects the best subset of sensors in order to monitor a given moving object in the observed environment.
Keywords: Advanced visual surveillance; visual sensor networks; active vision; object detection; tracking; human behaviour understanding Advanced visual surveillance; visual sensor networks; active vision; object detection; tracking; human behaviour understanding
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Foresti, G.L.; Micheloni, C.; Piciarelli, C.; Snidaro, L. Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy. Sensors 2009, 9, 2252-2270.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert