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Low Light Tracking Tool

126 bytes added, 13:43, 22 May 2013
Choose a tracking method
There are currently two tracking algorithms available:
===GaussianML===
This algorithm implements the [http://en.wikipedia.org/wiki/Maximum_likelihood_estimator maximum likelihood estimator ] based on a [http://en.wikipedia.org/wiki/Shot_noise shot noise ] model. This means it considers the statistics of photon distribution in the image generation process to find the optimal location estimate. In our publication this is referred to as the inner loop.
===EMCCD-GaussianML===
This algorithm implements the maximum likelihood estimator based on a more sophisticated model including which in addition includes the stochastic amplification process in an [http://en.wikipedia.org/wiki/Electron-multiplying_CCD EMCCD]camera. We have shown, that it yields more accurate results in situations with low light levels. In our publication this algorithm is referred to as the '''Nested Maximum Likelihood Algorithm'''.
==Pick Session Options==
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