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Association and identification in heterogeneous sensors environment with coverage uncertainty

  • Stony Brook University
  • Ajou University

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

12 Scopus citations

Abstract

In this paper, we present an approach for providing dynamic object association and identification in heterogeneous sensor networks where identification sensors have coverage uncertainty. Detection uncertainty of identifications by the coverage uncertainty is managed by grouping unassociated identifications. In the system, visual sensors find corresponding objects between cameras by using homographic lines and track them by using multi-camera localization scheme. Identification sensors (i.e., RFID system, fingerprint or iris recognition system) are incorporated into the tracking system for objects identification. This paper elaborates possible identification cases and necessary conditions with the coverage uncertainty of identification sensors. Finally, the proposed association method is evaluated with a realistic simulation.

Original languageEnglish
Title of host publication6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
Pages553-558
Number of pages6
DOIs
StatePublished - 2009
Event6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009 - Genova, Italy
Duration: Sep 2 2009Sep 4 2009

Publication series

Name6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009

Conference

Conference6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
Country/TerritoryItaly
CityGenova
Period09/2/0909/4/09

Keywords

  • Association
  • Coverage uncertainty
  • Heterogenous sensor networks
  • Identification

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