[Paper] Appearance-and-Spectral-Based Identification System for Penguin Individuals

We present a system for identifying individual penguins in flock images by combining appearance-based penguin detection with RGB images and spectral-based penguin identification with hyperspectral (HS) information. For the spectral-based identification, we propose a classification and ensemble appro...

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Bibliographic Details
Published inITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS Vol. 13; no. 2; pp. 211 - 220
Main Authors Noboru, Youta, Ozasa, Yuko, Tanaka, Masayuki
Format Journal Article
LanguageEnglish
Published The Institute of Image Information and Television Engineers 2025
Subjects
Hyperspectral Image
Individual Identification
Pixel-Wise Classification
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Summary:We present a system for identifying individual penguins in flock images by combining appearance-based penguin detection with RGB images and spectral-based penguin identification with hyperspectral (HS) information. For the spectral-based identification, we propose a classification and ensemble approach inspired by the observation that many animals have similar color patterns. For example, penguins typically have black and white coloration, with consistent color distributions across individuals. The proposed system's effectiveness was experimentally validated with a mean Average Precision (mAP) metric. The proposed Appearance-and-Spectral-Based identification system significantly outperformed conventional appearance-based and spectral-based systems.
ISSN:2186-7364
2186-7364
DOI:10.3169/mta.13.211