Open lanlankai opened 3 years ago
@lanlankai I think we would be happy to take a PR from you or your students to implement this, but no one is available to do the work for you.
If you have collective motion https://soft-matter.github.io/trackpy/v0.4.2/tutorial/prediction.html#Prediction:-Beyond-Simple-Random-Walks might be able to help you already?
We do the experiment on copepods to see the possible collective motion. The trackpy suite is nice to identify them, but we have a large portion miss-match during the tracking when we increase the number density of copepods. it seems that the so-called shake the box algorithm can resolve this problem. It is a pity that I don't know how to do the program. Is it possible to introduce this algorithm to the trackpy?
Shake-The-Box: Lagrangian particle tracking at high particle image densities Daniel Schanz, Sebastian Gesemann & Andreas Schröder Experiments in Fluids volume 57, Article number: 70 (2016)
thanks