A new classification method to simplify blue whale photo-identification technique

Author:

Gendron D.,De La Cruz A. Ugalde

Abstract

Individual identification of blue whales is based on unique pigmentation patterns. Historically photo-identification has been based on the pigmentation patterns observed on a large portion of the animal’s flanks. The new classification method presented here is based primarily on seven dorsal fin shapes and secondarily on five pigmentation patterns selected from a minor portion of the flank adjacent to the dorsal fin. This classification is then applied to a blue whale catalogue that comprises 621 individuals photo-identified in the waters adjacent to the Baja California Peninsula in Mexico. The classification system adequately divides the number of individuals per dorsal fin category and pigmentation patterns. It has been useful not only for reducing time and for matching photographs more efficiently but also has facilitated the finding of intra-catalogue photographic recaptures or photo-recaptures and has enhanced the efficiency of the field work. This new classification method should be considered by other blue whale researchers and for future inter-catalogue comparisons.

Publisher

International Whaling Commission

Subject

Animal Science and Zoology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. Surfacing rates, swim speeds, and patterns of movement of Antarctic blue whales;Frontiers in Marine Science;2023-01-26

4. Whale Species Classifier Using Dorsal Fin And Lateral Body Characteristic;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

5. Automated Blue Whale Photo-Identification Using Local Feature Matching;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023

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