From 2fa61c47c9e93fdc4c4908dd9ee6e7885430e73b Mon Sep 17 00:00:00 2001 From: Jon Whiteaker Date: Sun, 4 Mar 2012 00:51:57 -0800 Subject: brano's comments --- conclusion.tex | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) (limited to 'conclusion.tex') diff --git a/conclusion.tex b/conclusion.tex index 3de1f74..1270fce 100644 --- a/conclusion.tex +++ b/conclusion.tex @@ -1,2 +1,28 @@ \section{Conclusion} \label{sec:conclusion} + +In this paper, we introduce skeleton recognition. We show that skeleton +measurements are unique enough to distinguish individuals using a dataset of +real skeletons. We present an probabilistic model for recognition, and extend +it to take advantage of consecutive frames. Finally we test our model by +collecting data for a week in a real-world setting. Our results show that +skeleton recognition performs close to face recognition, and it can be used in +many more scenarios. + +However, the Kinect SDK does have some limitations. First of all, the Kinect +SDK can only fit two skeletons at a time. Therefore, when a group of people +walk in front of the Kinect, not all of them can be recognized via skeleton, +where they might be by face recognition. Second, some times figure detection +gives false positives, which caused skeletons to be fit on a window and a +vacuum cleaner during our data collection (both of these are reflective +surfaces, which might explain the failure). + +Skeleton recognition can only get more accurate as the resolution of range +cameras increases and skeleton fitting algorithms improve. Microsoft is +planning on putting the Kinect technology inside +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 +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. -- cgit v1.2.3-70-g09d2