A method for monitoring bird activity distribution in urban streets based on bird call intensity

Abstract

This invention relates to the fields of ecological environment monitoring and bioacoustics, specifically disclosing a method for monitoring the distribution of bird activity in urban streets based on the intensity of bird calls. This method simultaneously collects multi-channel audio and video data from street areas, uses visual information to identify non-bird dynamic sound sources and constructs a spatial sound source mask model, and combines beamforming technology to directionally focus the audio signal and attenuate interference frequencies. Subsequently, it detects bird call events and calculates their intensity, correlates them with spatial positioning information to generate a spatiotemporal distribution map of bird activity intensity, and verifies the validity of the call events through video verification. This invention improves the signal-to-noise ratio and monitoring accuracy through audio-visual fusion and a closed-loop verification mechanism, achieving highly reliable and high spatial resolution monitoring of urban bird activity distribution.

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