SmaCCS: Smart Camera Cloud Services - towards an intelligent cloud-based surveillance system

  • Today, high performance and feature rich surveillance systems are very costly as they require an expensive set of infrastructure components. As a consequence, such systems including, e.g., complex automatic video content analysis, are restricted to large scale applications, such as airports or train stations. In smaller settings, e.g. in shop surveillance, mostly low-cost display or record-only systems are in use. In this position paper we propose to combine two well-known approaches in order to make Intelligent Video Surveillance applicable and affordable in small to medium-scale scenarios. The proposal includes to combine the concept of Smart Cameras, i.e. cameras equipped with local processing resources, with the ideas of Cloud Computing, i.e. the on-demand provisioning of computing and storage services for complex calculations, and the management of large amounts of data, i.e. video storage. The former allows for the cost effective pre-processing of video data close to the sensor ,Today, high performance and feature rich surveillance systems are very costly as they require an expensive set of infrastructure components. As a consequence, such systems including, e.g., complex automatic video content analysis, are restricted to large scale applications, such as airports or train stations. In smaller settings, e.g. in shop surveillance, mostly low-cost display or record-only systems are in use. In this position paper we propose to combine two well-known approaches in order to make Intelligent Video Surveillance applicable and affordable in small to medium-scale scenarios. The proposal includes to combine the concept of Smart Cameras, i.e. cameras equipped with local processing resources, with the ideas of Cloud Computing, i.e. the on-demand provisioning of computing and storage services for complex calculations, and the management of large amounts of data, i.e. video storage. The former allows for the cost effective pre-processing of video data close to the sensor , while using the latter concept does not require large initial investments into expensive infrastructure components such as powerful compute servers. The paper presents research issues of the necessary system design, including precise system goal and system model aspects. Based on this, we discuss several research issues required to be addressed for solving the overall goals.show moreshow less

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Metadaten
Author:Sven TomfordeGND, Uwe Jänen, Jörg HähnerORCiDGND, Martin Hoffmann
URN:urn:nbn:de:bvb:384-opus4-480941
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/48094
ISBN:978-989-8565-70-9OPAC
Parent Title (English):10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013), July 29-31, 2013, in Reykjavík, Iceland
Publisher:SciTePress
Place of publication:Setúbal
Editor:Jean-Louis Ferrier, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek
Type:Conference Proceeding
Language:English
Year of first Publication:2013
Publishing Institution:Universität Augsburg
Release Date:2019/02/26
Issue:Volume 1
First Page:288
Last Page:293
DOI:https://doi.org/10.5220/0004590902880293
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 9 - Industrie, Innovation und Infrastruktur
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)