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Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters

Ruth AGUILAR-PONCE, Ashok KUMAR, J. Luis TECPANECATL-XIHUITL, Magdy BAYOUMI

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Summary :

This work deploys Autonomous Decentralized System (ADS) based formulation to cluster of networked visual sensors. The goal is to utilize and integrate the sensing and networking capabilities of the sensors with the systematic and autonomous features of ADS to perform visual surveillance through object detection in the covered areas of interest. In the proposed approach, several cells are distributed through an area of interest called Autonomous Observer Cell. The decentralized subsystems detect and track moving objects present on the scene by looking through a camera embedded in each sensor. These subsystems form a cluster and each cluster sends information to an Autonomous Analysis Cell that determines if an object of interest is present. The Autonomous Observer Cells share a common data field and a cluster-head works as a gateway between the cluster and the Autonomous Analysis Cell.

Publication
IEICE TRANSACTIONS on Communications Vol.E88-B No.12 pp.4462-4469
Publication Date
2005/12/01
Publicized
Online ISSN
DOI
10.1093/ietcom/e88-b.12.4462
Type of Manuscript
Special Section PAPER (IEICE/IEEE Joint Special Section on Autonomous Decentralized Systems)
Category
Ad hoc, Sensor Network and P2P

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