Earticle

초록

영어

We propose architecture for multi-agent systems to retrieve and classify features extracted from images and videos of smart cameras. To enable cooperative inference between agents on cameras, structured representation of agents’ knowledge and abilities is required in the form of ontologies. Recognized features if properly structured and annotated, can be a useful source of information for context aware surveillance. This work builds a hierarchical inference data deployment structure and import related and required data to annotate rich data arriving from multiple sensor streams, in this case smart cameras. The annotation provides an impetus to the improvement of knowledge over time. Proactive deployment provides the main concepts and properties to model a hierarchical area ontology structure which can span a university campus or a city. We also define management policies to compare their performance for the wide area surveillance specifically.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Architecture
 4. Knowledge Base Management Scheme
 5. Experiment and Implementation Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Soomi Yang [ Department of Information Security, The University of Suwon ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605