I am analyzing a stream of data and I want to seed every new instance with the best guess output (line) of the previous, so as to eventually converge.
Given that Scikit Learn - RANSAC is an iterative model is it possible to seed it with a best-guess / prior linear model to aid outlier detection and model-fitting?
I am working on a lane detection system using a stream of video frames. I use RANSAC for lane detection after passing the image through various filters. Given that lanes do not vary much across adjacent frames I could seed the output of the previous frame to the current (useful when the filters don't yield a good signal/noise ration, for example: bridge shadows / sun glare in frames).