A Pure python implementation of Crocker-Grier¶
| Release: | 0.2.0 |
|---|---|
| date: | August 31, 2016 |
The Crocker-Grier algorithm is a method of tracking features in a series of images from frame to frame. The core of the algorithm is to choose the frame-to-frame linking that globally minimizes the sum of the squared displacements.
trackpy is a simple and extendable implementation of
Crocker-Grier suitable for tracking a few hundred to a few thousand
features per frame. This implementation has been shown to consume an
unreasonable amount of memory when tracking >20k features. For large
data sets, see the c++ implementation of Crocker-Grier.