Acoustic counting algorithms for wireless sensor networks

Abstract : This study presents two algorithms that count birds with wireless sensors equipped with microphones. Audio inputs are parametrized to get some kind of fingerprints which are used to recognize the song of the birds in a classification process. Afterward, counting algorithms derive an estimate of the number of singing birds in the habitat. Unlike traditional approaches which leverage the audio waveform to get the location of the targets, we use a trilateration technique on graphs derived from the detection of the birds. These graphs exhibit nice properties which enable the finding of the estimate in polynomial time. Further, experiments are conducted and confirmm the efficiency of our counting algorithms even in the presence of noise.
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Communication dans un congrès
6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, 2009, New York, United States. ACM, pp.79--84, 2009, 〈10.1145/1641876.1641891〉
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https://hal.archives-ouvertes.fr/hal-00602263
Contributeur : Erick Stattner <>
Soumis le : mardi 21 juin 2011 - 21:46:14
Dernière modification le : mardi 21 juin 2011 - 22:03:14

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Harry Gros-Désormeaux, Philippe Hunel, Nicolas Vidot, Erick Stattner. Acoustic counting algorithms for wireless sensor networks. 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks, 2009, New York, United States. ACM, pp.79--84, 2009, 〈10.1145/1641876.1641891〉. 〈hal-00602263〉

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