Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation

@inproceedings{Ivekovic2010MarkerlessMA,
  title={Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation},
  author={Spela Ivekovic and Vijay John and Emanuele Trucco},
  booktitle={EvoApplications},
  year={2010}
}
In this paper, we present a new adaptive approach to multi-view markerless articulated human body pose estimation from multi-view video sequences, using Particle Swarm Optimisation (PSO). We address the computational complexity of the recently developed hierarchical PSO (HPSO) approach, which successfully estimated a wide range of different motion with a fixed set of parameters, but incurred an unnecessary overhead in computational complexity. Our adaptive approach, called APSO, preserves the… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Vision-based Human Motion Analysis:a Review

View 3 Excerpts
Highly Influenced

Motion capture systems

Vicon
www.vicon.com • 2008
View 3 Excerpts

Probability Evolutionary Algorithm based human motion tracking using voxel data

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) • 2008
View 1 Excerpt