Document Type

Conference Proceeding

Language

eng

Format of Original

10 p.

Publication Date

9-2008

Publisher

Institute of Electrical and Electronics Engineers

Source Publication

Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008. ICDSC 2008

Source ISSN

978-1-4244-2664-5

Original Item ID

doi: 10.1109/ICDSC.2008.4635698

Abstract

We present a cluster-based distributed algorithm for calibrating large networks of wireless cameras. Due to the complex nature of sensing modality of a camera sensor, the work presented here differs significantly from the previous localization methods. Our system does not require any beacon nodes; it only utilizes object features of moving objects in the scene extracted from image sequences. The algorithm is fully distributed, and the localization estimates can be improved as more object features are acquired in the network. We show simulations of our system using a graphical simulator we developed specifically for wireless camera sensor networks. Early results indicate that our system is capable of localizing a large network of cameras in an energy-efficient way.

Comments

Accepted version. Published as part of the proceedings of the conference, Second ACM/IEEE International Conference on Distributed Smart Cameras, September 7-11, 2008, Stanford, CA, 2008: 1-10. DOI. © 2008 Institute of Electrical and Electronics Engineers (IEEE). Used with permission.

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