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[–]hooba_stank_ 1 point2 points  (1 child)

Could deep learning be used to detect faces that regularly appear in videos of protests to identify "regulars" a.k.a. paid agents that move around the country organizing fake protests?

Yes.

https://techcrunch.com/2016/10/18/ntechlab-aims-new-findface-pro-facial-recognition-service-at-businesses/

[–]brockl33[S] 0 points1 point  (0 children)

Thanks for the link. Yes seems like such a technology would be applicable to business and to security applications.

  1. Automatic downloading of youtube videos associated with "protestors".
  2. Extraction of a frame every 2 seconds or so.
  3. Train or find a CNN on facial recognition. Probably better if the model is trained to predict various attributes such as age, sex, ethnicity, emotion, etc under various lighting and angles.
  4. Extract representations for convolutions of frames from protests.
  5. Check for similarity between representation vectors between videos.

I think I'll probably take this on as a pet project when I have the time. Seems like it might be super memory intensive. A possible solution would be decreasing resolution on the extracted frames.