Abstract
Tracks of small animals are important in environmental surveillance, where pattern recognition algorithms allow species identification of the individuals creating tracks. These individuals can also be seen as artists, presented in their natural environments with a canvas upon which they can make prints. We present tracks of small mammals and reptiles which have been collected for identification purposes, and re-interpret them from an esthetic point of view. We re-classify these tracks not by their geometric qualities as pattern recognition algorithms would, but through interpreting the ‘artist’, their brush strokes and intensity. We describe the algorithms used to enhance and present the work of the ‘artists’.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Russell, J.C., Klette, R., Chen, CY. (2010). Tracking Small Artists. In: Huang, F., Wang, RC. (eds) Arts and Technology. ArtsIT 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11577-6_21
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DOI: https://doi.org/10.1007/978-3-642-11577-6_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11576-9
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