Thomas Heitzinger is a research assistant and PhD student at the Computer Vision Lab (CVL) at TU Wien. His research interests are 3D scene understanding and human behavior analysis using depth sensors and other non-RGB based visual sensors, as well as computer vision in the absence of strong textural information. At the moment he is working on the project MaLeStV which aims to support security personnel and reduce the number of safety-related incidents in Austrian prisons by using a 3D sensor to register critical movement and behavioral patters in real time.
|2019||MSc. TU Wien, Logic and Computation. Thesis title: High Accuracy Semantic Segmentation for Motor Vehicles. Thesis advisor: Martin Kampel|
|2018||MSc. TU Wien, Technical Mathematics. Thesis title: Complex scaling for one-dimensional resonance problems in inhomogeneous exterior domains. Thesis advisor: Lothar Nannen|
|2016||BSc. TU Wien, Technical Mathematics. Thesis title: Radial Perfectly Matched Layer. Thesis advisor: Lothar Nannen|
- Heitzinger T. and Kampel M. “Highly Accurate Binary Image Segmentation for Cars”. in Proceedings of the ARW & OAGM Workshop 2020, Graz, Austria, September 2020
- Heitzinger T. and Kampel M. “IPT: A Dataset for Identity Preserved Tracking in Closed Domains”, in Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, January 2021
Awards & Achievements
- Best Paper Award, ARW & OAGM Workshop 2020, September 2020