Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos

Eman T. Hassan, Rakibul Hasan, Patrick Shaffer, David Crandall, Apu Kapadia · 2017

We describe an object replacement approach whereby privacy-sensitive objects in videos are replaced by abstract cartoons taken from clip art. Our approach uses a combination of computer vision, deep learning, and image processing techniques to detect objects, abstract details, and replace them with cartoon clip art. We conducted a user study (N=85) to discern the utility and effectiveness of our cartoon replacement technique. The results suggest that our object replacement approach preserves a video's semantic content while improving its privacy by obscuring details of objects.

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