1. Taylor Rassmann

2.  Optical flow is still being attained from the UCF50 dataset.  On action 35 out of 50  Currently at 900 GB of data

3.  Code for 11 kinematic features complete with visualizations  Next Step:  Create a system similar to the optical flow code to attain the kinematic features from the entire dataset instead of single videos

4.  Golf Swing

5.  Symmetric Flow Field: captures the dynamics that emphasize the symmetry of a human action around a diagonal axis.

6.  Divergence: captures the amount of local expansion taking place in the fluid.

7.  Vorticity: the measure of local spin around the axis perpendicular to the plane of the flow field.

8.  Finish UCF50 optical flow computation  Hopefully done by the end of the day  Apply Saad Ali’s old kinematic features and MIL code to UCF50 dataset  Implement vorticity and divergence kinematic features on UCF50 dataset  Determine which actions have global movement for use of COCOA  See if saliency maps increase accuracy when there is occlusion