Andreia Marini

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This paper presents a novel approach for bird species classification based on color features extracted from unconstrained images. This means that the birds may appear in different scenarios as well may present different poses, sizes and angles of view. Besides, the images present strong variations in illuminations and parts of the birds may be occluded by(More)
This paper presents a novel approach for bird species identification that relies on both visual features extracted from unconstrained bird images and acoustic features extracted from bird vocalizations. The Scale Invariant Feature Transform (SIFT) detects local features in bird images, which are then used to train a support vector machine classifier. The(More)
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