Multicamera correspondence based on principal axis of human body

@article{Hu2004MulticameraCB,
  title={Multicamera correspondence based on principal axis of human body},
  author={Min Hu and Jianguang Lou and Weiming Hu and Tieniu Tan},
  journal={2004 International Conference on Image Processing, 2004. ICIP '04.},
  year={2004},
  volume={2},
  pages={1057-1060 Vol.2}
}
Multicamera correspondence of moving people is a relatively new issue in computer vision. To cope with it, we propose a simple but effective method based on the principal axis of human body. We apply the method to real video sequences in outdoor environments. The experimental results have demonstrated the efficiency of the proposed method. 

Figures and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 1 EXCERPT
CITES BACKGROUND

3D Road Scene Monitoring Based on Real-Time Panorama

  • J. Applied Mathematics
  • 2014
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition
  • 2013
VIEW 1 EXCERPT
CITES BACKGROUND

Multiple instance learning from multiple cameras

  • 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops
  • 2010
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.

Muln Cnnlpra lmse lrckins , in Proc

L. D. Reid, b. W. Murray