Fast Gait Recognition from Kinect Skeletons

@inproceedings{Mallick2016FastGR,
  title={Fast Gait Recognition from Kinect Skeletons},
  author={Tanwi Mallick and Ankit Khedia and Partha Pratim Das and Arun K. Majumdar},
  booktitle={VISIGRAPP},
  year={2016}
}
Recognizing persons from gait has attracted attention in computer vision research for over a decade and a half. To extract the motion information in gait, researchers have either used wearable markers or RGB videos. Markers naturally offer good accuracy and reliability but has the disadvantage of being intrusive and expensive. RGB images, on the other hand, need high processing time to achieve good accuracy. Advent of low-cost depth data from Kinect 1.0 and its human-detection and skeleton… CONTINUE READING

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  • 2018 14th IEEE International Conference on Signal Processing (ICSP)
  • 2018
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Automatic gait recognition based on statistical shape analysis

  • IEEE Trans. Image Processing
  • 2003
VIEW 12 EXCERPTS
HIGHLY INFLUENTIAL

Full body gait analysis with Kinect

  • 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2012
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Dynamic Time Warping

M. Müller
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Gait recognition from time-normalized joint-angle trajectories in the walking plane

  • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

The representation and recognition of human movement using temporal templates

  • Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1997
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

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