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This paper introduces an algorithm to protect the privacy of individuals instreaming video data by blurring faces such that face cannot be reliablyrecognized. This thwarts any possible face recognition, but because all facialdetails are obscured, the result is of limited use. We propose a new clusteringalgorithm to create raw trajectories for detected faces. Associating facesacross frames to form trajectories, it auto-generates cluster number anddiscovers new clusters through deep feature and position aggregated affinities.We introduce a Gaussian Process to refine the raw trajectories. We conducted anonline experiment with 47 participants to evaluate the effectiveness of faceblurring compared to the original photo (as-is), and users' experience(satisfaction, information sufficiency, enjoyment, social presence, and filterlikeability)

Pixelation is NOT Done in Videos Yet