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

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Presentation transcript:

Taylor Rassmann

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

 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

 Golf Swing

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

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

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

 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