Copyright © 2005 The Institute of Electronics, Information and Communication Engineers
IEICE/IEEE Joint Special Section on Autonomous Decentralized Systems -- Papers -- Ad hoc, Sensor Network and P2P |
Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters*
1 The authors are with the Center for Advanced Computer Studies, University of Louisiana at Lafayette, LA 70504-4330, USA. E-mail: ak{at}cacs.louisiana.edu
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.
Key Words: autonomous decentralized system, multi-agent system, cluster network
Manuscript received March 30, 2005. Manuscript revised June 23, 2005.
* The authors acknowledge the support of the U.S. DoE, EETAPP program DE97ER12220, the Governor's IT Initiative, DoE award DE-FGO2-04ER46136 and the Louisiana Board of Regents contract DOE/LEQSF (2004-07)-ULL, and the support of NSF, INF 6-001-006. This paper is an extended work of the authors' accepted IEEE-CAMP'05 conference paper in [22].