SmartMocap: Joint Estimation of Human and Camera Motion using Uncalibrated RGB Cameras

1 code implementation • 28 Sep 2022 • Nitin Saini, Chun-Hao P. Huang, Michael J. Black, Aamir Ahmad

Second, we learn a probability distribution of short human motion sequences ($\sim$1sec) relative to the ground plane and leverage it to disambiguate between the camera and human motion.

AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

1 code implementation • 20 Jan 2022 • Nitin Saini, Elia Bonetto, Eric Price, Aamir Ahmad, Michael J. Black

In this letter, we present a novel markerless 3D human motion capture (MoCap) system for unstructured, outdoor environments that uses a team of autonomous unmanned aerial vehicles (UAVs) with on-board RGB cameras and computation.

3D human pose and shape estimation

AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning

no code implementations • 13 Jul 2020 • Rahul Tallamraju, Nitin Saini, Elia Bonetto, Michael Pabst, Yu Tang Liu, Michael J. Black, Aamir Ahmad

We focus on vision-based MoCap, where the objective is to estimate the trajectory of body pose and shape of a single moving person using multiple micro aerial vehicles.

Decision Making reinforcement-learning +1

Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles

no code implementations • ICCV 2019 • Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black

We combine multiple state-of-the-art 2D joint detectors with a 3D human body model and a powerful prior on human pose.

Markerless Motion Capture