Now showing items 1-2 of 2
Learning embodied models of actions from first person video
(Georgia Institute of Technology, 2017-08-28)
Advances in sensor miniaturization, low-power computing, and battery life have enabled the first generation of mainstream wearable cameras. Millions of hours of videos are captured by these devices every year, creating a ...
Understanding the motion of a human state in video classification
(Georgia Institute of Technology, 2019-03-29)
For the last 50 years we have studied the correspondence between human motion and the action or goal they are attempting to accomplish. Humans themselves subconsciously learn subtle cues about other individuals that gives ...