Alive fishes species characterization from video sequences

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Abstract

This article presents a method suitable for the characterization of fishes evolving in a basin. It is based on the analysis of video sequences obtained from a fixed camera. One of the main difficulties of analyzing natural scenes acquired from an aquatic environment is the variability of illumination. This disturbs every phase of the whole process. We propose to make each task more robust. In particular, we propose to use a clustering method allowing to provide species parameters estimates that are less sensitive to outliers. © Springer-Verlag Berlin Heidelberg 2002.

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Semani, D., Saint-Jean, C., Frélicot, C., Bouwmans, T., & Courtellemont, P. (2002). Alive fishes species characterization from video sequences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2396, 689–698. https://doi.org/10.1007/3-540-70659-3_72

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