Smoke detection in video surveillance: the use of ViSOR (video surveillance on-line repository)

Authors:
Roberto Vezzani;Simone Calderara;Paolo Piccinini;Rita Cucchiara
Affiliations:
University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy
Venue:
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Year:
2008

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Abstract

ViSOR (Video Surveillance Online Repository) is a large video repository, designed for containing annotated video surveillance footages, comparing annotations, evaluating system performance, and performing retrieval tasks. The web interface allows video browse, query by annotated concepts or by keywords, compressed video preview, media download and upload. The repository contains metadata annotations, both manually created ground-truth data and automatically obtained outputs of particular systems. An example of application is the collection of videos and annotations for smoke detection, an important video surveillance task. In this paper we present the architecture of ViSOR, the build-in surveillance ontology which integrates many concepts, also coming from LSCOM, and MediaMill, the annotation tools and the visualization of results for performance evaluation. The annotation is obtained with an automatic smoke detection system, capable to detect people, moving objects, and smoke in real-time.