Advances in Marine Animal Detection Techniques

Abstract

Technological advancement has now allowed researchers to overcome barriers that exist in the research of marine animals. While traditional methods provided limited insights and relied heavily on sound signals, the advent of sophisticated image and video- capturing devices has made it possible to collect data on marine animals in their natural habitat. This has allowed research into the detection and classification of marine animals underwater to rapidly rise in the last few decades. Computer vision and deep learning have given unprecedented results in this field in recent years yielding efficient results with low computational power. This chapter discusses the trends in the evolution of techniques used in underwater marine animal detection. This chapter also serves as a valuable resource in the field of marine research for researchers and practitioners alike to better understand the capabilities and limitations of specific areas. It will help in the further enhancement of techniques in the area of marine animal detection.