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Distributed architectures and logical-task decomposition in multimedia surveillance systems

Marcenaro L
•
Oberti F
•
Regazzoni CS
•
FORESTI, Gian Luca
2001
  • journal article

Periodico
PROCEEDINGS OF THE IEEE
Abstract
In the past few years, the development of complex surveillance systems has captured the interest of both the research and industrial worlds. Strong and challenging requirements of modern society are involved in this problem, which aims to increase safety and security in several application domains such as transport, tourism, home and bank security, military applications, etc. At the same time, fast improvements in microelectronics, telecommunications, and computer science make it necessary to consider new perspectives in this field. The main objective of this paper is to investigate, discuss, and evaluate the impact of distributed processing and new communication techniques on multimedia surveillance systems, which represent the so-called third-generation surveillance systems (3GSSs). In particular aspects related to the distribution of intelligence among multiple-processing and wide-bandwidth resources are discussed in detail. It is shown how distribution of intelligence can be obtained by a hierarchical architecture that partitions, in a dynamic way, the main logical processing tasks (i.e., representation, recognition, and communication) performed in a 3GSS physical architecture made lip of intelligent cameras, hubs, and central control rooms. The advantages of this solution are pointed out in terms of: 1) increased flexibility and reconfigurability and 2) optimal allocation of available processing and bandwidth resources. Finally, a case study is analyzed that allows one to gain a deeper insight into a distributed surveillance system.
DOI
10.1109/5.959339
WOS
WOS:000171805500005
Archivio
http://hdl.handle.net/11390/688226
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-6344283723
Diritti
metadata only access
Scopus© citazioni
64
Data di acquisizione
Jun 7, 2022
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Web of Science© citazioni
46
Data di acquisizione
Mar 22, 2024
Visualizzazioni
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Data di acquisizione
Apr 19, 2024
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