Kablosuz çoklu ortam sensör aǧlarinda otomatik hedef tespiti için özellik çikarimi ve siniflandirma

Translated title of the contribution: Feature extraction and object classification for target identification at wireless multimedia sensor networks

Muhsin Civelek, Adrian Yazici, Cengiz Yilmazer, Fazh Oncul Korkut

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, it is investigated the processes for automatic identification of the targets without personnel intervention in wireless multimedia sensor networks. Methods to extract the features of the object from the multimedia data and to classify the target type based on the extracted features are proposed within the scope of this study. The success of the proposed methods are tested by implementing a Matlab application and the results are presented in this paper.

Translated title of the contributionFeature extraction and object classification for target identification at wireless multimedia sensor networks
Original languageUndefined/Unknown
Title of host publication2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
PublisherIEEE Computer Society
Pages778-781
Number of pages4
ISBN (Print)9781479948741
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Duration: Apr 23 2014Apr 25 2014

Publication series

Name2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

Conference

Conference2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Country/TerritoryTurkey
CityTrabzon
Period4/23/144/25/14

Keywords

  • Classification
  • Feature Extraction
  • Sensor
  • Video

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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