Estimation of distance and acoustical power of fish using compact array of cameras and hydrophones

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master_Escamilla_García_Sebastian_2025.pdf (10.08 MB)

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School of Electrical Engineering | Master's thesis
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Date

2025-09-24

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Major/Subject

Acoustics and Audio Technology

Mcode

Degree programme

Master's Programme in Computer, Communication and Information Sciences

Language

en

Pages

60

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Abstract

This thesis presents a novel method for estimating the sound source level of fish vocalizations by combining acoustic direction of arrival estimates with camera-based 3D localization. Based on the UPAC-360, a specialized spherical acoustic camera from the FishEye Collaborative, the work employs synchronized multi-view imagery and triangulation to determine the distance to a sound-emitting fish. A traditional feature matching pipeline was implemented to automate image point correspondence. The results show high accuracy for close-range distance estimation, with a median absolute error of 0.033 m. Crucially, the study finds that the geometric quality of camera views is more important than the number of cameras for triangulation accuracy. The system then infers source level using transmission loss models; its study emphasize that the choice of the spreading exponent in the transmission loss model significantly impacts the source level estimate, underscoring the need for empirical, site-specific measurements. This framework expands passive acoustic monitoring capabilities, provides a reliable tool for quantitative bioacoustic analysis, and a valuable reference for future integrated system designs.

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Supervisor

Pulkki, Ville

Thesis advisor

Dantzker, Marc

Keywords

bioacoustics, sound source level, 3D localization, hybrid acoustic-visual system, fisheye camera, computer vision

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https://urn.fi/URN:NBN:fi:aalto-202510208287

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[dipl] Sähkötekniikan korkeakoulu / ELEC