Cater Demo



Action Recognition on Input videos:

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NOTES:

  • The above videos portray the model's atomic action recognition capabilities.
  • Active actions are shown with red bounding boxes that are accompanied with the detected action label.
  • For the 'Contain' action, the opposite object index is also labelled on corresponding objects.
  • These results are preliminary, and are for videos with static camera angles only.
  • The input videos were generated by modifying the original CATER Blender code in order to obtain object bounding boxes.
  • The bounding boxes are taken from the object annotations (this often leads to occluded objects being labelled in the above samples).


Action Trajectories:

  • Each image below compares the actual and predicted Action Trajectory for an input video.
  • The X-axis represents the frame index, and the Y-axis denotes the object label.
  • Each rectangle represents one action, with it's color representing the action type and it's width denoting the start/end frame.
  • For each object instance, the Shaded rectangles (above the object's central line) show the actual actions that the object did.
  • The Unshaded rectangles (below the object's central line) show the actions predicted by the model.
  • The legend on the top right provides the action-color mapping.



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