Method for obtaining motion acoustic field video based on random microphone array and binocular vision

Abstract

The invention relates to a method for acquiring motion sound field video based on a random microphone array and binocular vision, and belongs to the technical field of noise analysis and control. Firstly, sound filed information is obtained by the random microphone array, 3D measurement and automatic tracking of a moving body in the sound field space are performed by the binocular stereo vision technology, a space-time relation between the sound field space and signals is established, the sound field measurement result is matched with 3D video images of a camera to visually display the motion process of the object and the dynamic change process of the sound field by dynamic video and obtain positions of various noise sources. The method causes the existing sound field visualization method to be more accurate and practical, and causes the measurement and identification of motion noise to be easier, thus providing more accurate reference for the further sound source identification and noise reduction work.

Description

technical field [0001] The invention relates to a method for acquiring motion sound field video based on a random microphone array and binocular vision, and belongs to the technical field of noise analysis and control. Background technique [0002] Noise in modern society has become a major source of environmental pollution. In order to deal with noise in a targeted manner, it is first necessary to obtain the sound field of the noise source more accurately and distinguish each sound source. The visualization of the sound field can make the positioning and analysis of the noise source more intuitive, thus providing a basis for further noise control work, which is of great significance to noise measurement and control work. [0003] In traditional research, sound field visualization is generally realized by matching and displaying sound field contour maps or three-dimensional sound image maps with images of the measured object. This method needs to manually superimpose the m...

AI Technical Summary

Problems solved by technology

This method needs to manually superimpose the measurement results with the picture of the moving object to realize the localization and analysis of the sound source, which requires professional technicians to complete, which will affect the popularization and application of the measurement method

At present, there is a sound field visualization technology based on the combination of regular array and camera for moving sound source, which makes the acquisition of dynamic sound field and the identification of noise source more convenient and intuitive, but the side lobe characteristics of the regular array layout make the measurement of sound field more accurate. restricted

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