Audio event recognition methods based on the Hidden Markov Model/Gaussian Mixture
Model (HMM/GMM) often depend on a large number of mixture components or multi-stage …

This paper summarizes a method for purely audio-based bird species recognition through
the application of convolutional neural networks. The approach is evaluated in the context of …

Passive bioacoustic recording devices are now widely available and able to continuously
record remotely located sites for extended periods, offering great potential for wildlife …

In low-altitude air traffic management, non-cooperation targets are the greatest threat to
security of low-flying aircraft. Among various aviation fatalities, flying bird is the main factor …

Flying bird detection (FBD) is critical in avoiding bird–aircraft collisions. Most existing
approaches rely on motion detection to identify the flying bird, since it is a typical moving …

Flying bird detection has recently attracted increasing attention in computer vision, which
becomes an urgent task with the opening up of the low-altitude airspace. However …

This paper proposes a novel method based on the archetypal analysis (AA) for bird activity
detection (BAD) task. The proposed method extracts a convex representation (frame-wise) …

Efficient sound classification of potentially hazardous events using Wireless Acoustic Sensor
Networks (WASNs) is considered to significantly contribute to the preservation of cultural …

A microelectronic system for monitoring areas of environmental interest through the
automated creation of soundmaps, based on data from a wireless acoustic sensor network …

With the opening up of the low-altitude airspace, flying bird detection has recently attracted
increasing attention in computer vision to avoid bird strike. However, compared with …