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
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"
Conference_Titel :
Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on
DOI :
10.1109/SPED.2015.7343103