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CHMELAŘ, P. LÁNÍK, A. MLÍCH, J.
Original Title
SUNAR: Surveillance Network Augmented by Retrieval
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
SUNAR, wide area, surveillance, video analytics, retrieval, similarity, tracking, trajectory, integration.
Authors
CHMELAŘ, P.; LÁNÍK, A.; MLÍCH, J.
RIV year
2010
Released
13. 12. 2010
Publisher
Springer Verlag
Location
Sydney
ISBN
978-1-234-56789-7
Book
ACIVS 2010
Edition
Lecture Notes in Computer Science
Pages from
155
Pages to
166
Pages count
12
BibTex
@inproceedings{BUT35131, author="Petr {Chmelař} and Aleš {Láník} and Jozef {Mlích}", title="SUNAR: Surveillance Network Augmented by Retrieval", booktitle="ACIVS 2010", year="2010", series="Lecture Notes in Computer Science", volume="6475", pages="155--166", publisher="Springer Verlag", address="Sydney", isbn="978-1-234-56789-7" }