CG Colloquium Thursday, March 12th

You are cordially invited to attend our CG Colloquium on Thursday, March 12th, 2020, 15:45-17:45h, Lecture Hall D@ta (Building 36)

The program features the following two speakers:

Prerak Mody

Title: 3D Human Pose Estimation Using a Top-view Depth Camera

Abstract: Delirium is a cause of concern within the health industry due to many postsurgery patients succumbing to this mental disease which disturbs their path to a full recovery. To understand and detect the onset of delirium within hospital ICU rooms, a depth camera (Microsoft Kinect) is attached to the ceiling. This depth data preserves privacy but also provides an opportunity to analyze the interactions taking place between the various stakeholders such as patient, hospital staff and visiting family. This project is being done at Philips Research, Eindhoven where my task is to extract the 3D human pose of individuals in the rooms. To this end, I extract the 3D point cloud data and run a supervised learning technique (i.e. 3D Convolutional Neural Network) to extract human pose. Having established a baseline, I am now investigating unsupervised and semi-supervised techniques to reduce the data and data annotation requirements respectively.

Thomas Saulou

Title: TBA

Abstract: TBA