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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 18:19:20 -0800 |
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| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-04 18:21:49 -0800 |
| commit | ed0be68bfe1098830cc860a0bf3862ec8693aa2e (patch) | |
| tree | 66a44d2cf2522e569ff295080a8ea4b614a90afc /conclusion.tex | |
| parent | 3dc183008e040aef7c64a4a5ede9557856326e31 (diff) | |
| download | kinect-ed0be68bfe1098830cc860a0bf3862ec8693aa2e.tar.gz | |
jon's pass on first half of section 5
Diffstat (limited to 'conclusion.tex')
| -rw-r--r-- | conclusion.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/conclusion.tex b/conclusion.tex index 1270fce..7a3e9ed 100644 --- a/conclusion.tex +++ b/conclusion.tex @@ -3,7 +3,7 @@ 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 +real skeletons. We present a 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 |