Bringing automated Spatio-temporal decision making to 3rd generation surveillance systems

Janne Merilinna, Mikko Nieminen, E Wetzinger

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

    Abstract

    Modern surveillance systems embody more stationary and mobile sensors, actuators and analytics software to cover wider areas of surveillance thus leading to more complex surveillance systems than ever before. As the systems tap into larger areas of surveillance, automation will also play a more significant role in intelligently reacting to threatening events. To tackle complexity, intelligent filtering and alarm semantic enrichment mechanisms for alarms are required to allow security personnel to concentrate on important events instead of redundant and meaningless alarms. Additionally, an automated planner is required to provide optimal solutions on reacting to events occurring in the surveillance area. In this paper we present a software component capable of spatio-temporal reasoning and planning to be integrated with a third generation surveillance system. The Milestone XProtect platform is utilized as an example legacy surveillance system
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationIASTED International Conference on Software Engineering, SE 2014
    Pages93-100
    ISBN (Electronic)978-0-88986-965-3
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event13th IASTED International Conference on Software Engineering, SE 2014 - Innsbruck, Austria
    Duration: 17 Feb 201419 Feb 2014

    Conference

    Conference13th IASTED International Conference on Software Engineering, SE 2014
    Abbreviated titleSE 2014
    Country/TerritoryAustria
    CityInnsbruck
    Period17/02/1419/02/14

    Keywords

    • Complex event processing
    • constraint satisfaction problem
    • expert systems
    • knowledge acquisition

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