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

    Määttä, M., Keränen, J. S., Räty, T., & Nieminen, M. (2012). Detecting abnormal activities from multi-sensor surveillance systems. In Proceedings: International Conference on Control, Automation and Information Sciences, ICCAIS 2012 (pp. 30-35). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICCAIS.2012.6466608