Opponent Color Subtraction Result

I've implemented image subtraction using the blue/yellow channel as opposed to just rgb.
I also had to dilate the image before doing the connected component labeling for the daytime bike to be more apparent.

This is a video clip of the rgb subtract, notice no bike spotted in the image subtraction.


This is a video clip of the blue/yellow channel subtract with dilation.


This is the same capture as above with the footage shown.


Using this blue/yellow channel image subtraction seems to hurt night time bike tracking.The bike is first labeled as 2 and then when the car drives by, it becomes a new blob.


Maybe use RGB for night time and B/Y on daytime?

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For the classification rules, I'm thinking of something that trains on a set of known trajectories that are known to be bike traffic. Then each actual labeled blob is compared to this set and check if the distance between the two trajectories are within a certain bounds.