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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 02:17:18 -0800 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 02:17:18 -0800 |
| commit | 4777da8bcee956f100dcce83c8d0be565fc693cc (patch) | |
| tree | 2fc99a72b74bd5d91fb54986f5b1c5ea8f160f4a /conclusion.tex | |
| parent | c7b48885def36f3965be91c76ec1f54a5d9bf27a (diff) | |
| download | kinect-4777da8bcee956f100dcce83c8d0be565fc693cc.tar.gz | |
Some corrections. Adress some of Brano's comments.
Plots are now square
Proper separation of captions
Diffstat (limited to 'conclusion.tex')
| -rw-r--r-- | conclusion.tex | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/conclusion.tex b/conclusion.tex index 7a3e9ed..c54bc9a 100644 --- a/conclusion.tex +++ b/conclusion.tex @@ -6,8 +6,8 @@ measurements are unique enough to distinguish individuals using a dataset of 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 -many more scenarios. +skeleton recognition performs close to face recognition, and it can be +used in other 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 |