Feature-aided tracking for Marine Mammal detection and classification
Mots-clés :
Classification (of information), Offshore oil well production, Probability distributions, Data sets, Marine mammals, Spectral informationsRésumé
Cet article présente une méthode de détection et classification de clics d’écholocation d’odontocètes ainsi que d’estimation du nombre d’animaux vocalisant en même temps. Un détecteur de transitoires utilisant le test de Page permet d’extraire les clics : leurs instants, durées et amplitudes ainsi que leurs spectres sont stockés. L’analyse du spectre d’un clic permet de lui affecter une probabilité de distribution parmi les différentes espèces. L’estimation du nombre d’animaux se fait à l’aide d’un algorithme de tracking (multihypothesis tracking MHT). L’association des clics est basée sur l’hypothèse que l’amplitude et l’intervalle entre deux clics varient lentement en fonction du temps. Ce travail a été réalisé sur le jeu de données mis à disposition par les organisateurs du 3rd International Workshop on the Detection and Classification of Marine Mammals using Passive Acoustics, Boston, Juillet 2007. Ce dernier se compose de données d’entrainement sur trois espèces : Mésoplodon de Blainville (Mesoplodon densirostris), dauphins de Risso (Grampus griseus) et globicéphales (Globicephala macrorhynchus) et de fichiers test.Fichiers supplémentaires
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