I would like to analyse trajectory data based on given templates.
I need to stack similar trajectories together.
The data is a set of coordinates (xy, xy, xy) and the templates are again lines defined by the set of control points.
I don’t know to what direction to go, maybe to Neural Networks or pattern recognition?
Could you please recommend a page, book or library to start with?
Kind regards,
Arman.
PS:
Is it the right place to ask the question?
EDIT
To be more precise the trajectory contains about 50-100 control points.
Here you can see the example of trajectories:
http://www.youtube.com/watch?v=KFE0JLx6L-o
You can use a clustering algorithm to ‘stack the similar trajectories together’. I have used spectral clustering on trajectories with good results. Depending on your application hierarchical clustering may be more apropriate.
A critical part of your analysis will be the distance measure between trajectories. State of the art is dynamic time warping. I’ve also seen good results achieved with a modified Hausdorff measure.