SUNAR: Surveillance Network Augmented by Retrieval

SUNAR, wide area, surveillance, video analytics, retrieval, similarity, tracking, trajectory, integration.

Článek se zabývá dohledovým systémem rozšířeným o vyhledávání (SUNAR) vyvíjeném na FIT, Vysokém učení technickém v Brně, který obsahuje standardní a experimentální techniky, ohodnocené NIST na evaluaci AVSS 2009 Multi-Camera Tracking Challenge, kde si vedl porovnatelně dobře. 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.