Abstract:
Recognition of animal tracks plays an important role in environmental research and pest control. So far such track analysis can only be accurately carried out by experienced biologists. In this paper we discuss the potential of image analysis methodologies for allowing automatic identification of rat tracks. The approach is basically a refinement of template matching (as designed earlier for automated track localization), now also allowing identification of rat species.
Description:
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