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.
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Ruth AGUILAR-PONCE, Ashok KUMAR, J. Luis TECPANECATL-XIHUITL, Magdy BAYOUMI, "Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 12, pp. 4462-4469, December 2005, doi: 10.1093/ietcom/e88-b.12.4462.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.12.4462/_p
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@ARTICLE{e88-b_12_4462,
author={Ruth AGUILAR-PONCE, Ashok KUMAR, J. Luis TECPANECATL-XIHUITL, Magdy BAYOUMI, },
journal={IEICE TRANSACTIONS on Communications},
title={Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters},
year={2005},
volume={E88-B},
number={12},
pages={4462-4469},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e88-b.12.4462},
ISSN={},
month={December},}
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TY - JOUR
TI - Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters
T2 - IEICE TRANSACTIONS on Communications
SP - 4462
EP - 4469
AU - Ruth AGUILAR-PONCE
AU - Ashok KUMAR
AU - J. Luis TECPANECATL-XIHUITL
AU - Magdy BAYOUMI
PY - 2005
DO - 10.1093/ietcom/e88-b.12.4462
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2005
AB - 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.
ER -