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diff --git a/abstract.tex b/abstract.tex index 9386d11..4940b90 100644 --- a/abstract.tex +++ b/abstract.tex @@ -1,11 +1,11 @@ \begin{abstract} - This paper explores a novel approach for person recognition based on - skeletal measurements. After showing that exact measurements allow - for accurate recognition, we study two algorithmic approaches for - identification in case of approximate measurements. A real-life - experiment with 25 people and measurements obtained from the Kinect - range camera gives us promising results and comparison with state of - the art facial recognition validates the viability of - skeleton-based identification. -\end{abstract} + This paper explores a novel approach for person recognition based on skeletal + measurements. After showing that exact measurements allow for accurate + recognition in a large dataset, we study two algorithmic approaches for + recognition given approximate measurements. We perform a real-world + experiment with measurements captured from the Kinect and obtain 95\% + accuracy with three people and 85\% accuracy with five people. Our results + and a comparison with state of the art facial recognition validate the + viability of skeleton-based recognition. + \end{abstract} |