Markerless Motion Capture in the Operating Room.

The Goal of this IDP was to extend the patch-based surface tracking algorithm proposed by Cagniart et al., to a skeleton based solution. Such a solution could be used to track surgeons in an operating room and enhance humanmachine interaction paradigms in this context. We implemented a model-based motion capture algorithm based on 3D point cloud data. An Expectation-Maximisation algorithm computes the point cloud/body parts assignment and the pose estimation is based on an Inverse Kinematics framework. This final report includes a brief introduction on the topic of motion capture, a discussion of the related works, a description of the method and its implementation, and concludes with some appreciation of the results.     «

The Goal of this IDP was to extend the patch-based surface tracking algorithm proposed by Cagniart et al., to a skeleton based solution. Such a solution could be used to track surgeons in an operating room and enhance humanmachine interaction paradigms in this context. We implemented a model-based motion capture algorithm based on 3D point cloud data. An Expectation-Maximisation algorithm computes the point cloud/body parts assignment and the pose estimation is based on an Inverse Kinema...     »