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Bayesian detection and tracking of odontocetes in 3-D from their echolocation clicks.
Jang, Junsu; Meyer, Florian; Snyder, Eric R; Wiggins, Sean M; Baumann-Pickering, Simone; Hildebrand, John A.
Afiliación
  • Jang J; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
  • Meyer F; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
  • Snyder ER; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
  • Wiggins SM; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
  • Baumann-Pickering S; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
  • Hildebrand JA; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
J Acoust Soc Am ; 153(5): 2690, 2023 05 01.
Article en En | MEDLINE | ID: mdl-37129673
Localization and tracking of marine animals can reveal key insights into their behaviors underwater that would otherwise remain unexplored. A promising nonintrusive approach to obtaining location information of marine animals is to process their bioacoustic signals, which are passively recorded using multiple hydrophones. In this paper, a data processing chain that automatically detects and tracks multiple odontocetes (toothed whales) in three dimensions (3-D) from their echolocation clicks recorded with volumetric hydrophone arrays is proposed. First, the time-difference-of-arrival (TDOA) measurements are extracted with a generalized cross-correlation that whitens the received acoustic signals based on the instrument noise statistics. Subsequently, odontocetes are tracked in the TDOA domain using a graph-based multi-target tracking (MTT) method to reject false TDOA measurements and close gaps of missed detections. The resulting TDOA estimates are then used by another graph-based MTT stage that estimates odontocete tracks in 3-D. The tracking capability of the proposed data processing chain is demonstrated on real acoustic data provided by two volumetric hydrophone arrays that recorded echolocation clicks from Cuvier's beaked whales (Ziphius cavirostris). Simulation results show that the presented MTT method using 3-D can outperform an existing approach that relies on manual annotation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecolocación Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: J Acoust Soc Am Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecolocación Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: J Acoust Soc Am Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos