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An algorithm to track overlapping features in video images

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clustertracking

An algorithm to track overlapping features in video images

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This package contains Python code for tracking overlapping features in video images, such as present in for example confocal images of colloidal clusters. The code is heavily based on Trackpy.

Installation

If you are new to python, please checkout this page.

With pip:

pip install https://github.com/caspervdw/clustertracking/archive/master.zip

With git:

git clone https://github.com/caspervdw/clustertracking
python setup.py install

Dependencies

  • python (tested on both 2.7 or 3.5)
  • numpy
  • scipy
  • pandas >= 0.17.0
  • trackpy >= 0.3.0
  • pims >= 0.3.3
  • optional: numdifftools

Documentation

API documentation is available over here. A preprint of the article corresponding to this code is available on arXiv.

Support

This package was developed in by Casper van der Wel, as part of his PhD thesis work in Daniela Kraft's group at the Huygens-Kamerlingh-Onnes laboratory, Institute of Physics, Leiden University, The Netherlands. This work was supported by the Netherlands Organisation for Scientific Research (NWO/OCW).

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