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Authors: Sven Tomforde 1 ; Uwe Jänen 1 ; Jörg Hähner 1 and Martin Hoffmann 2

Affiliations: 1 University of Augsburg, Germany ; 2 Volavis GmbH, Germany

ISBN: 978-989-8565-70-9

Keyword(s): Intelligent Surveillance, Cloud Computing, Automated Machine Learning, Smart Camera, Organic Computing

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: 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. (More)

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Paper citation in several formats:
Tomforde, S.; Jänen, U.; Hähner, J.; Hähner, J. and Hoffmann, M. (2013). SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance System.In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 288-293. DOI: 10.5220/0004590902880293

@conference{icinco13,
author={Sven Tomforde. and Uwe Jänen. and Jörg Hähner. and Jörg Hähner. and Martin Hoffmann.},
title={SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance System},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004590902880293},
isbn={978-989-8565-70-9},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance System
SN - 978-989-8565-70-9
AU - Tomforde, S.
AU - Jänen, U.
AU - Hähner, J.
AU - Hähner, J.
AU - Hoffmann, M.
PY - 2013
SP - 288
EP - 293
DO - 10.5220/0004590902880293

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