Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction

@inproceedings{Yu2014DiscriminativeOM,
  title={Discriminative Orderlet Mining for Real-Time Recognition of Human-Object Interaction},
  author={Gang Yu and Zicheng Liu and Junsong Yuan},
  booktitle={ACCV},
  year={2014}
}
This paper presents a novel visual representation, called orderlets, for real-time human action recognition with depth sensors. An orderlet is a middle level feature that captures the ordinal pattern among a group of low level features. For skeletons, an orderlet captures specific spatial relationship among a group of joints. For a depth map, an orderlet characterizes a comparative relationship of the shape information among a group of subregions. The orderlet representation has two nice… CONTINUE READING
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