Combined Ordered and Improved Trajectories for Large Scale Human Action Recognition

@inproceedings{Murthy2013CombinedOA,
  title={Combined Ordered and Improved Trajectories for Large Scale Human Action Recognition},
  author={O. V. Ramana Murthy and Roland Goecke},
  year={2013}
}
Recently, a video representation based on dense trajectories has been shown to outperform other human action recognition methods on several benchmark datasets. The trajectories capture the motion characteristics of different objects, for example human bodies, in spatial and temporal dimensions. In dense trajectories, points are sampled at uniform intervals in space and time and then tracked using a dense optical flow field over a fixed length time window of L frames (optimally 15) overlapping… CONTINUE READING
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