Introduced in Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor2016
The EgoDexter dataset provides both 2D and 3D pose annotations for 4 testing video sequences with 3190 frames. The videos are recorded with body-mounted camera from egocentric viewpoints and contain cluttered backgrounds, fast camera motion, and complex interactions with various objects. Fingertip positions were manually annotated for 1485 out of 3190 frames.
Source: Hand Pose Estimation via Latent 2.5D Heatmap Regression Image Source: https://handtracker.mpi-inf.mpg.de/projects/OccludedHands/EgoDexter.htm
