Robust action recognition using local motion and group sparsity

@article{Cho2014RobustAR,
  title={Robust action recognition using local motion and group sparsity},
  author={Jungchan Cho and Minsik Lee and Hyung Jin Chang and Songhwai Oh},
  journal={Pattern Recognition},
  year={2014},
  volume={47},
  pages={1813-1825}
}
Recognizing actions in a video is a critical step for making many vision-based applications possible and has attracted much attention recently. However, action recognition in a video is a challenging task due to wide variations within an action, camera motion, cluttered background, and occlusions, to name a few. While dense sampling based approaches are currently achieving the stateof-the-art performance in action recognition, they do not perform well for many realistic video sequences since… CONTINUE READING
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