Machine vision classification of animals
Neal Finch, Patricia Murray · 2003
This paper proposes a machine vision system suitable for the automatic classification of animal species. Edge tracking and silhouette encapsulation using s- psi coding is used to match the outline shape of the animal against a normalised library. An experimental system is described, and results from initial tests are reported. The proposed system has great potential for a low-cost, robust system to remotely monitor or classify animals.