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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-05 12:57:13 -0800 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-05 12:57:13 -0800 |
| commit | d141015881e15abb55b868350fae592a15064746 (patch) | |
| tree | e512b1194191e9db509f8061cfc273e74fd5e9b1 /experimental.tex | |
| parent | 0d8cb3842cc87b92eccdf2bf29b100f860fb6dbd (diff) | |
| download | kinect-d141015881e15abb55b868350fae592a15064746.tar.gz | |
changes to wording in dataset setction
Diffstat (limited to 'experimental.tex')
| -rw-r--r-- | experimental.tex | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/experimental.tex b/experimental.tex index 57189ab..b4d781c 100644 --- a/experimental.tex +++ b/experimental.tex @@ -41,11 +41,13 @@ operates in real-time without calibration. We collect data using the Kinect SDK over a period of a week in a research laboratory setting. The Kinect is placed at the tee of a frequently used -hallway. The view of the Kinect is seen in \fref{fig:hallway}, showing the -color image, the depth image, and the fitted skeleton of a person in a single -frame. Skeletons are fit from roughly 1-5 meters away from the Kinect. For each -frame where a person is detected and a skeleton is fit we capture the 3-D -coordinates of 20 body joints, and the color image. +hallway. For each frame, the Kinect SDK performs figure detection to identify +regions of interest. Then, it fits a skeleton to the identified figures and +outputs a set of joints in real world coordinates. The view of the Kinect is +seen in \fref{fig:hallway}, showing the color image, the depth image with +figures, and the fitted skeleton of a person in a single frame. Skeletons are +fit from roughly 1-5 meters away from the Kinect. For each frame with a +skelton we record color image and the positions of the joints. \begin{figure}[t] \begin{center} |
