Multi-sensor logical decision making in the single location surveillance point system

Mikko Nieminen, Tommi Räty, Mikko Lindholm

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

9 Citations (Scopus)

Abstract

As demand for surveillance of physical locations increases, automated decision making software can help maintain the rising costs of human monitoring. The variety in different types of sensors is also growing, and making use of their consolidated data can improve the decision making process. Using the constructive research method, we aim to define a design of a surveillance system's decision making component that utilizes data fusion from multiple types of sensors. As a solution we present the logical decision making server (LDMS), used in the single location surveillance point (SLSP), a system designed for monitoring an indoors location. The decision making capabilities in the LDMS are based on user-configurable security rules, which allow security personnel to define threats based on current and recent event reports from any or all of the environment&psila;s sensors. The LDMS has been successfully developed and integrated into an SLSP implementation.
Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Systems, ICONS 2009
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages86-90
ISBN (Print)978-1-4244-3469-5, 978-0-7695-3551-7
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
Event4th International Conference on Systems, ICONS 2009 - Gosier, France
Duration: 1 Mar 20096 Mar 2009

Conference

Conference4th International Conference on Systems, ICONS 2009
Abbreviated titleICONS 2009
CountryFrance
CityGosier
Period1/03/096/03/09

Fingerprint

Decision making
Sensors
Servers
Monitoring
Data fusion
Personnel
Costs

Keywords

  • Multi-sensor surveillance
  • decision making
  • data fusion

Cite this

Nieminen, M., Räty, T., & Lindholm, M. (2009). Multi-sensor logical decision making in the single location surveillance point system. In Proceedings of the 4th International Conference on Systems, ICONS 2009 (pp. 86-90). Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICONS.2009.18
Nieminen, Mikko ; Räty, Tommi ; Lindholm, Mikko. / Multi-sensor logical decision making in the single location surveillance point system. Proceedings of the 4th International Conference on Systems, ICONS 2009. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2009. pp. 86-90
@inproceedings{54884cef722644289ad08494d51b4f7b,
title = "Multi-sensor logical decision making in the single location surveillance point system",
abstract = "As demand for surveillance of physical locations increases, automated decision making software can help maintain the rising costs of human monitoring. The variety in different types of sensors is also growing, and making use of their consolidated data can improve the decision making process. Using the constructive research method, we aim to define a design of a surveillance system's decision making component that utilizes data fusion from multiple types of sensors. As a solution we present the logical decision making server (LDMS), used in the single location surveillance point (SLSP), a system designed for monitoring an indoors location. The decision making capabilities in the LDMS are based on user-configurable security rules, which allow security personnel to define threats based on current and recent event reports from any or all of the environment&psila;s sensors. The LDMS has been successfully developed and integrated into an SLSP implementation.",
keywords = "Multi-sensor surveillance, decision making, data fusion",
author = "Mikko Nieminen and Tommi R{\"a}ty and Mikko Lindholm",
note = "Project code: 19166",
year = "2009",
doi = "10.1109/ICONS.2009.18",
language = "English",
isbn = "978-1-4244-3469-5",
pages = "86--90",
booktitle = "Proceedings of the 4th International Conference on Systems, ICONS 2009",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
address = "United States",

}

Nieminen, M, Räty, T & Lindholm, M 2009, Multi-sensor logical decision making in the single location surveillance point system. in Proceedings of the 4th International Conference on Systems, ICONS 2009. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, pp. 86-90, 4th International Conference on Systems, ICONS 2009, Gosier, France, 1/03/09. https://doi.org/10.1109/ICONS.2009.18

Multi-sensor logical decision making in the single location surveillance point system. / Nieminen, Mikko; Räty, Tommi; Lindholm, Mikko.

Proceedings of the 4th International Conference on Systems, ICONS 2009. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2009. p. 86-90.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Multi-sensor logical decision making in the single location surveillance point system

AU - Nieminen, Mikko

AU - Räty, Tommi

AU - Lindholm, Mikko

N1 - Project code: 19166

PY - 2009

Y1 - 2009

N2 - As demand for surveillance of physical locations increases, automated decision making software can help maintain the rising costs of human monitoring. The variety in different types of sensors is also growing, and making use of their consolidated data can improve the decision making process. Using the constructive research method, we aim to define a design of a surveillance system's decision making component that utilizes data fusion from multiple types of sensors. As a solution we present the logical decision making server (LDMS), used in the single location surveillance point (SLSP), a system designed for monitoring an indoors location. The decision making capabilities in the LDMS are based on user-configurable security rules, which allow security personnel to define threats based on current and recent event reports from any or all of the environment&psila;s sensors. The LDMS has been successfully developed and integrated into an SLSP implementation.

AB - As demand for surveillance of physical locations increases, automated decision making software can help maintain the rising costs of human monitoring. The variety in different types of sensors is also growing, and making use of their consolidated data can improve the decision making process. Using the constructive research method, we aim to define a design of a surveillance system's decision making component that utilizes data fusion from multiple types of sensors. As a solution we present the logical decision making server (LDMS), used in the single location surveillance point (SLSP), a system designed for monitoring an indoors location. The decision making capabilities in the LDMS are based on user-configurable security rules, which allow security personnel to define threats based on current and recent event reports from any or all of the environment&psila;s sensors. The LDMS has been successfully developed and integrated into an SLSP implementation.

KW - Multi-sensor surveillance

KW - decision making

KW - data fusion

U2 - 10.1109/ICONS.2009.18

DO - 10.1109/ICONS.2009.18

M3 - Conference article in proceedings

SN - 978-1-4244-3469-5

SN - 978-0-7695-3551-7

SP - 86

EP - 90

BT - Proceedings of the 4th International Conference on Systems, ICONS 2009

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway, NJ, USA

ER -

Nieminen M, Räty T, Lindholm M. Multi-sensor logical decision making in the single location surveillance point system. In Proceedings of the 4th International Conference on Systems, ICONS 2009. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2009. p. 86-90 https://doi.org/10.1109/ICONS.2009.18