Detecting abnormal activities from multi-sensor surveillance systems

Marko Määttä, Janne S. Keränen, Tomi Räty, Mikko Nieminen

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

    Abstract

    The main purpose of a surveillance system is to monitor valuable assets, such as office buildings and homes, and report any occurring security incidents. Sensor malfunctions or abnormal usages of the system are possible scenarios in a real life and a surveillance system with hundreds of sensors is creating a vast amount of data which is impossible to handle manually. This renders the fixing of these potential faults slow and expensive. This paper proposes a system which can analyse data received from a surveillance system. The proposed system will report abnormal activities, such as malfunctioning or dead sensors, abnormal usage, and abnormal events created by the surveillance system. The experimental evaluation is performed by using six cases describing different types of abnormal activity. The experiments indicate that the proposed system can effectively pinpoint faulty sensors and other abnormal activities. This will ease the task of the maintenance personnel to locate and fix possible problem in the surveillance system.
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationInternational Conference on Control, Automation and Information Sciences, ICCAIS 2012
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages30-35
    ISBN (Electronic)978-1-4673-0813-7
    ISBN (Print)978-1-4673-0812-0
    DOIs
    Publication statusPublished - 2012
    MoE publication typeNot Eligible
    EventInternational Conference on Control, Automation and Information Sciences, ICCAIS 2012 - Saigon, Viet Nam
    Duration: 26 Nov 201229 Nov 2012

    Conference

    ConferenceInternational Conference on Control, Automation and Information Sciences, ICCAIS 2012
    Abbreviated titleICCAIS 2012
    CountryViet Nam
    CitySaigon
    Period26/11/1229/11/12

    Fingerprint Dive into the research topics of 'Detecting abnormal activities from multi-sensor surveillance systems'. Together they form a unique fingerprint.

    Cite this