2004-09-01
Semi-Automatic Identification of Humpback Whales
Publication
Publication
Presented at the
Irish Machine Vision and Image Processing Conference, Dublin, Ireland
This paper describes current work on a photo-id system for humpback whales. Individuals of this
species can be uniquely identied by the light and dark pigmentation patches on their tails. We propose
semi-automatic algorithm based on marker-controlled watershed transformation for segmenting
the animal's tail from the surrounding sea. We propose tting an afne invariant coordinate grid to
the resulting segmentation. The grid can be adjusted according to the level of occlusion by the sea.
A numerical feature vector capturing the patch-distribution with respect to the grid is then automatically
extracted and used to match the individual against the database of similarly processed images.
Additional Metadata | |
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Trinity College Dublin, Ireland | |
K. Dawson-Howe , A.C. Kokaram , F. Shevlin | |
Multimedia Understanding through Semantics, Computation and Learning | |
Irish Machine Vision and Image Processing Conference | |
Organisation | Signals and Images |
Ranguelova, E., Huiskes, M., & Pauwels, E. (2004). Semi-Automatic Identification of Humpback Whales. In K. Dawson-Howe, A. C. Kokaram, & F. Shevlin (Eds.), Proceedings of Irish Machine Vision and Image Processing Conference (pp. 180–185). Trinity College Dublin, Ireland. |