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}
}
  • Gang Yu, Zicheng Liu, Junsong Yuan
  • Published in ACCV 2014
  • Computer Science
  • This paper presents a novel visual representation, called orderlets, for real-time human action recognition with depth sensors. [...] Key Result Experimental results demonstrate its superior performance on online action recognition and cross-environment action recognition.Expand Abstract
    131 Citations

    Figures, Tables, and Topics from this paper

    Distances evolution analysis for online and off-line human object interaction recognition
    • 12
    • Highly Influenced
    • PDF
    Human Object Interaction Recognition
    • 1
    • Highly Influenced
    Human Object Interaction Recognition Using Rate-Invariant Shape Analysis of Inter Joint Distances Trajectories
    • 8
    • PDF
    Discriminative-Element-Aware Sparse Representation for Action Recognition
    • Highly Influenced
    Discriminative Spatio-Temporal Pattern Discovery for 3D Action Recognition
    • 17
    • PDF
    Linear-time online action detection from 3D skeletal data using bags of gesturelets
    • 18
    • Highly Influenced
    • PDF
    Human action recognition based on 3D skeleton part-based pose estimation and temporal multi-resolution analysis
    • 5
    Category-Blind Human Action Recognition: A Practical Recognition System
    • 47
    • PDF

    References

    SHOWING 1-10 OF 38 REFERENCES
    Robust 3D Action Recognition with Random Occupancy Patterns
    • 460
    • PDF
    Fusing Spatiotemporal Features and Joints for 3D Action Recognition
    • 207
    • PDF
    Mining actionlet ensemble for action recognition with depth cameras
    • 1,248
    • PDF
    The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection
    • 365
    • Highly Influential
    • PDF
    Recognizing human actions: a local SVM approach
    • 2,840
    • PDF
    Action recognition based on a bag of 3D points
    • W. Li, Z. Zhang, Zicheng Liu
    • Computer Science, Mathematics
    • 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops
    • 2010
    • 1,136
    • PDF
    Behavior recognition via sparse spatio-temporal features
    • 2,630
    • PDF
    EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor
    • Xiaodong Yang, Yingli Tian
    • Computer Science
    • 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
    • 2012
    • 457
    • Highly Influential
    • PDF
    HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences
    • Omar Oreifej, Zicheng Liu
    • Computer Science, Mathematics
    • 2013 IEEE Conference on Computer Vision and Pattern Recognition
    • 2013
    • 791
    • PDF