• DocumentCode
    3702115
  • Title

    Spectrograms, sparsograms and spectral signatures for wildlife intruder detection

  • Author

    Corneliu Rusu;L?crimioara Grama

  • Author_Institution
    Signal Processing Group, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper some properties of spectrograms and sparsograms are reviewed. The framework addressed is acoustic based wildlife intruder detection. The spectral signatures are also recalled within this framework. The averaged binary sparsogram is introduced and it is shown that it can be considered an effective tool for classifying the possible intruders sounds into different classes.
  • Keywords
    "Spectrogram","Agricultural machinery","Birds","Wildlife","Discrete Fourier transforms","Training","Acoustics"
  • Publisher
    ieee
  • Conference_Titel
    Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/SPED.2015.7343103
  • Filename
    7343103