Exploring human activity annotation using a privacy preserving 3D model

Annotating activity recognition datasets is a very time consuming process. Using lay annotators (e.g. using crowd-sourcing) has been suggested to speed this up. However, this requires to preserve privacy of users and may preclude relying on video for annotation. We investigate to which extent usi…