Neural Network Based Methodology for Automatic Detection of Whale Blows in Infrared Video

摘要

In this paper, we propose a new methodology based on neural networks to detect the presence of whale blows in infrared video. The algorithm is designed based on the spatial and temporal characteristics of whale blows. The first part of the algorithm consists of thresholding techniques that filter out the possible candidates to a group containing whale blows and certain textures on the sea. A novel thresholding technique called grid thresholding is proposed so that the detector is able to detect very small blows while keeping the number of false positives to a minimum. As the final part of the detection algorithm we have used a neural network to differentiate between whale blows and the various textures on the surface of the sea.