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
Link To Document