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Insect Soup Challenge: Segmentation, Counting, and Simple Classification
AbstractIn the paper we present a method for segmentation of insects from the Insect Soup images. The method enables reliable segmentation of insects of variable size, shape and color. After segmentation, a set of properties are assigned to each segmented insect which enables classification into different categories. The approach was successfully applied on two different types of real life images: images from the Insect Soup Challenge and images acquired from traps in the field using low resolution cameras.
Related Material
[pdf][bibtex]@InProceedings{Mele_2013_ICCV_Workshops,
author = {Katarina Mele},
title = {Insect Soup Challenge: Segmentation, Counting, and Simple Classification},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {June},
year = {2013}
}
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