Accurately tracking, reconstructing, capturing and animating the human body in 3D is critical for human-computer interaction, games, special effects and virtual reality. In the past, this has required extensive manual animation. Nowadays research in this area is allowing us to capture and learn realistic models of people and hands from real measurements coming from scans, depth cameras, color cameras and inertial sensors. Such a model is, ultimately, a compact parameterization of surface geometry that can be deformed to generalize to novel poses and shapes. This model can then be used to track bodies and hands from noisy sensors by optimizing the model parameters as to best fit noisy and incomplete image observations. The workshop is intended to offer a meeting and discussion platform for researchers with diverse backgrounds, such as computer graphics, computer vision and optimization, and machine learning. This will hopefully push the state-of-the-art in “Capturing and modeling humans” in terms of models, methods and datasets.