A Binary-Classification-Tree based Framework for Distributed Target Classification in Multimedia Sensor Networks Conference Paper

abstract

• With rapid improvements and miniaturization in hardware, sensor nodes equipped with acoustic and visual information collection modules promise an unprecedented opportunity for target surveillance applications. This paper investigates a critical task of target surveillance, multi-class classification, in distributed multimedia sensor networks. We first analyze the procedure of target classification utilizing the acoustic and visual information. Then, we propose a binary classification tree based framework for distributed target classification in multimedia sensor networks. The proposed framework includes three main components: Generation of binary classification tree, Division of binary classification tree, and Selection of multimedia sensor nodes. Finally, we conduct an experimental application of target classification and extensive simulations to validate and evaluate our proposed framework and related schemes. 2012 IEEE.

name of conference

• 2012 Proceedings IEEE INFOCOM

authors

• Zhang, Xi

published proceedings

• 2012 PROCEEDINGS IEEE INFOCOM

author list (cited authors)

• Liu, L., Ming, A., Ma, H., & Zhang, X. i.

citation count

• 12

complete list of authors

• Liu, Liang||Ming, Anlong||Ma, Huadong||Zhang, Xi

publication date

• March 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Infocom. Proceedings  Journal

keywords

• Classification Tree
• Multimedia Sensor Network
• Node Selection
• Target Classification

Digital Object Identifier (DOI)

• 10.1109/infcom.2012.6195802

International Standard Book Number (ISBN) 13

• 9781467307758

start page

• 594

end page

• 602

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Finfcom.2012.6195802