Faculty of Information Technology, BUT

Publication Details

SUNAR: Surveillance Network Augmented by Retrieval

CHMELAŘ Petr. SUNAR: Surveillance Network Augmented by Retrieval. Genova, 2009.
English title
SUNAR: Surveillance Network Augmented by Retrieval
Type
presentation,e-document
Language
czech
Authors
Chmelař Petr, Ing. (DIFS FIT BUT)
URL
Keywords
SUNAR, surveillance, retrieval, AVSS, challenge, NIST
Abstract
The work dealt with an information retrieval based wide area surveillance system Sunar (Surveillance Network Augmented by Queries) being developed as an open source software at FIT BUT. It includes many experimental techniques evaluated by NIST at the Multiple Camera Person Tracking Challenge as a part of the AVSS 2009 Conference.

We used OpenCV Library for tracking in Computer Vision Modules processing the surveillance video. We have improved some methods and added feature extraction capability to the library. Information about objects and the area under surveillance is cleaned, integrated, indexed and stored in Video Retrieval Modules. It is based on the PostgreSQL database extended to be capable of similarity and spatio-temporal information retrieval and some data analysis and mining in the global context.
Published
2009
Pages
17
Conference
Advanced Video and Signal Based Surveillance, 6th IEEE International Conference on, Genoa, IT
Place
Genova, IT
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