Recognizing Animals Using Motion Parts
نویسندگان
چکیده
We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a ‘configuration of motion parts’ model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori knowledge of the physical or locomotive characteristics of the animals concerned. Results are presented demonstrating excellent classification performance, with accuracy exceeding 98% on a test set consisting of over 100 sequences of 7 different species.
منابع مشابه
Human Motion Analysis: A Review - Nonrigid and Articulated Motion Workshop, 1997. Proceedings., IEEE
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