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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 14:34:54 -0800 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 14:34:54 -0800 |
| commit | 898a85e9d27cac39f403a9a499ea49578a856f4f (patch) | |
| tree | 2501910f1d4aec0123804d0fe5ab76714758f00f /conclusion.tex | |
| parent | 75bdb4858889f2af6e074ed9448b6ded1a81cbc4 (diff) | |
| download | kinect-898a85e9d27cac39f403a9a499ea49578a856f4f.tar.gz | |
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| -rw-r--r-- | conclusion.tex | 21 |
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diff --git a/conclusion.tex b/conclusion.tex index d423e29..0d435b1 100644 --- a/conclusion.tex +++ b/conclusion.tex @@ -2,14 +2,15 @@ \label{sec:conclusion} In this paper, we present exciting and promising results for skeleton -recognition. With greater than 90\% accuracy for less than 10 people, skeleton -recognition can already be used in households, \eg to load personalized -settings for a home entertainment system. Skeleton recognition performs less -than 10\% worse than face recognition in the current setting. This is a good -result considering face recognition has been studied for years and is more -mature. Furthermore, skeleton recognition works in many situations when face -recognition does not. For example, when a person is not facing the camera or -when it is dark. +recognition. With greater than 90\% accuracy for less than 10 people, +skeleton recognition can already be used in households, \eg to load +personalized settings for a home entertainment system. Skeleton +recognition performs less than 10\% worse than face recognition in the +current setting. This is a good result considering face recognition +has been studied for years and is more mature \cite{face-survey}. +Furthermore, skeleton recognition works in many situations when face +recognition does not. For example, when a person is not facing the +camera or when it is dark. %we introduce skeleton recognition. We show that skeleton %measurements are unique enough to distinguish individuals using a dataset of @@ -29,9 +30,9 @@ vacuum cleaner during our data collection. Finally, as the resolution of range cameras increases and skeleton fitting algorithms improve, so will the accuracy of skeleton recognition. Microsoft is planning on putting the Kinect technology inside -laptops~\footnote{\url{http://www.thedaily.com/page/2012/01/27/012712-tech-kinect-laptop/}} +laptops\footnote{\url{http://www.thedaily.com/page/2012/01/27/012712-tech-kinect-laptop/}} and the Asus Xtion -pro~\footnote{\url{http://www.asus.com/Multimedia/Motion_Sensor/Xtion_PRO/}} is +pro\footnote{\url{http://www.asus.com/Multimedia/Motion_Sensor/Xtion_PRO/}} is a range camera like the Kinect designed for PCs. The increased usage of range cameras and competition among vendors can only lead to advancements in the associated technologies. |