An evidential fusion architecture for people surveillance in wide open areas

M. Fornaciari, D. Sottara, A. Prati, P. Mello, R. Cucchiara

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

1 Scopus citations


A new evidential fusion architecture is proposed to build an hybrid artificial intelligent system for people surveillance in wide open areas. Authorized people and intruders are identified and localized thanks to the joint employment of cameras and RFID tags. Complex Event Processing and Transferable Belief Model are exploited for handling noisy data and uncertainty propagation. Experimental results on complex synthetic scenarios demonstrate the accuracy of the proposed solution.

Original languageEnglish (US)
Title of host publicationHybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
PublisherSpringer Verlag
Number of pages8
EditionPART 1
ISBN (Print)9783642212185
StatePublished - 2011
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6678 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'An evidential fusion architecture for people surveillance in wide open areas'. Together they form a unique fingerprint.

Cite this