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The STARFLAG handbook on collective animal behaviour: Part II, three-dimensional analysis

@article{Cavagna2008TheSH,
  title={The STARFLAG handbook on collective animal behaviour: Part II, three-dimensional analysis},
  author={Andrea Cavagna and Irene Giardina and Alberto Orlandi and Giorgio Parisi and Andrea Procaccini},
  journal={arXiv: Quantitative Methods},
  year={2008}
}
The study of collective animal behaviour must progress through a comparison between the theoretical predictions of numerical models and data coming from empirical observations. To this aim it is important to develop methods of three-dimensional (3D) analysis that are at the same time informative about the structure of the group and suitable to empirical data. In fact, empirical data are considerably noisier than numerical data, and they are subject to several constraints. We review here the… 
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References

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The main technical problems in 3D data collection of large animal groups are reviewed and how to solve the stereoscopic correspondence - or matching - problem is explained, which was the major bottleneck of all 3D studies in the past.

The STARFLAG handbook on collective animal behaviour: 1. Empirical methods

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