Action Recognition From Video Using Feature Covariance Matrices

@article{Guo2013ActionRF,
  title={Action Recognition From Video Using Feature Covariance Matrices},
  author={Ke-you Guo and Prakash Ishwar and Janusz Konrad},
  journal={IEEE Transactions on Image Processing},
  year={2013},
  volume={22},
  pages={2479-2494}
}
We propose a general framework for fast and accurate recognition of actions in video using empirical covariance matrices of features. A dense set of spatio-temporal feature vectors are computed from video to provide a localized description of the action, and subsequently aggregated in an empirical covariance matrix to compactly represent the action. Two supervised learning methods for action recognition are developed using feature covariance matrices. Common to both methods is the… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 74 CITATIONS, ESTIMATED 98% COVERAGE

Feature covariance matrix-based dynamic hand gesture recognition

  • Neural Computing and Applications
  • 2018
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Human Action Recognition With Video Data: Research and Evaluation Challenges

  • IEEE Transactions on Human-Machine Systems
  • 2014
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Real-time action recognition based on cumulative Motion shapes

  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2014
VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2013
2019

CITATION STATISTICS

  • 10 Highly Influenced Citations

  • Averaged 10 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 63 REFERENCES

Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2010
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Actions as Space-Time Shapes

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2007
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Action Recognition from One Example

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2011
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Behavior recognition via sparse spatio-temporal features

  • 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

A gesture-driven computer interface using Kinect

  • 2012 IEEE Southwest Symposium on Image Analysis and Interpretation
  • 2012

Similar Papers

Loading similar papers…