Conference paper

CHMELAŘ Petr, LÁNÍK Aleš and MLÍCH Jozef. SUNAR: Surveillance Network Augmented by Retrieval. In: ACIVS 2010. Sydney: Springer Verlag, 2010, pp. 155-166. ISBN 978-1-234-56789-7.
Publication language:english
Original title:SUNAR: Surveillance Network Augmented by Retrieval
Title (cs):SUNAR: Dohledový systém rozšířený o vyhledávání (Surveillance Network Augmented by Retrieval)
Proceedings:ACIVS 2010
Conference:Advanced Concepts for Intelligent Vision Systems 2010
Series:LNCS 6475
Place:Sydney, AU
Publisher:Springer Verlag
SUNAR, wide area, surveillance, video analytics, retrieval, similarity, tracking, trajectory, integration.
The paper deals with Surveillance Network Augmented by
Retrieval (SUNAR) system - an information retrieval based wide area
(video) surveillance system being developed as a free software at FIT,
Brno University of Technology. It contains both standard and experi-
mental techniques evaluated by NIST at the AVSS 2009 Multi-Camera
Tracking Challenge and SUNAR performed comparably well.
In brief, SUNAR is composed of three basic modules - video process-
ing, retrieval and the monitoring interface. Computer Vision Modules are
based on the OpenCV Library for object tracking extended by feature
extraction and network communication capability similar to MPEG-7.
Information about objects and the area under surveillance is cleaned,
integrated, indexed and stored in Video Retrieval Modules. They are
based on the PostgreSQL database extended to be capable of similarity
and spatio-temporal information retrieval, which is necessary for both
non-overlapping surveillance camera system as well as information anal-
ysis and mining in a global context.

   author = {Petr Chmela{\v{r}} and Ale{\v{s}} L{\'{a}}n{\'{i}}k and
	Jozef Ml{\'{i}}ch},
   title = {SUNAR: Surveillance Network Augmented by Retrieval},
   pages = {155--166},
   booktitle = {ACIVS 2010},
   series = {LNCS 6475},
   year = {2010},
   location = {Sydney, AU},
   publisher = {Springer Verlag},
   ISBN = {978-1-234-56789-7},
   language = {english},
   url = {}

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