Fusion of Static and Temporal Information for Threat Evaluation in Sensor Networks

WenJun Ma, Weiru Liu, Jun Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

In many CCTV and sensor network based intelligent surveillance systems, a number of attributes or criteria are used to individually evaluate the degree of potential threat of a suspect. The outcomes for these attributes are in general from analytical algorithms where data are often pervaded with uncertainty and incompleteness. As a result, such individual threat evaluations are often inconsistent, and individual evaluations can change as time elapses. Therefore, integrating heterogeneous threat evaluations with temporal influence to obtain a better overall evaluation is a challenging issue. So far, this issue has rarely be considered by existing event reasoning frameworks under uncertainty in sensor network based surveillance. In this paper, we first propose a weighted aggregation operator based on a set of principles that constraints the fusion of individual threat evaluations. Then, we propose a method to integrate the temporal influence on threat evaluation changes. Finally, we demonstrate the usefulness of our system with a decision support event modeling framework using an airport security surveillance scenario.
Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - The 8th International Conference on Knowledge Science, Engineering and Management (KSEM15).
EditorsSongmao Zhang, Martin Wirsing, Zilil Zang
PublisherSpringer
Pages66-77
Number of pages12
ISBN (Electronic)978-3-319-25159-2
ISBN (Print)978-3-319-25158-5
DOIs
Publication statusPublished - 01 Nov 2015
EventThe 8th International Conference on Knowledge Science, Engineering and Management (KSEM15). - ChengDu, China
Duration: 29 Oct 201531 Oct 2015

Publication series

NameLecture Notes in Artificial Intelligence
ISSN (Print)0302-9743

Conference

ConferenceThe 8th International Conference on Knowledge Science, Engineering and Management (KSEM15).
CountryChina
CityChengDu
Period29/10/201531/10/2015

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  • Cite this

    Ma, W., Liu, W., & Hong, J. (2015). Fusion of Static and Temporal Information for Threat Evaluation in Sensor Networks. In S. Zhang, M. Wirsing, & Z. Zang (Eds.), Knowledge Science, Engineering and Management - The 8th International Conference on Knowledge Science, Engineering and Management (KSEM15). (pp. 66-77). (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-25159-2_6