This would depend on the nature of the movement. In a more realistic way: You should probably develop a simple way to create adverse images from local photographs, and a simple, decently reliable way to put those on t-shirts, hoodies, jackets. Creating imaging adverse to machine recognition is a field of active research, after all.

This would allow local privacy groups to put people from their group on their shirts and distribute them, kind of like facial recognition graffiti. This would be much harder to deal with due to the volume and flux of adverse imaging.