- RUB
- Computer Science
- INI
- People
- Matthias Michael
CV
since 2019 | Software Engineer | e.solutions GmbH |
2014 — 2019 | Research Member | Institut für Neuroinformatik, Ruhr-Universität Bochum |
2012 — 2014 | Student Assistent | |
2009 — 2014 | Studiengang Angewandte Informatik, M.Sc. | Ruhr-Universität Bochum |
2000 — 2009 | Gymnasium | Otto-Pankok Gymnasium, Mülheim a. d. Ruhr |
Study projects
- Master-Thesis: Real-time Stereo Vision: Optimizing Semi-Global Matching (2013)
- Master-Studienprojekt: Microsoft(tm) Surface in der Entwicklung von Product-Service Systemen: Gamestorming
- Bachelor-Thesis: GPU-Implementierung des Semi-Global Matching Algorithmus für Stereo-Bildverarbeitung (2011)
- Bachelor-Studienprojekt: Erstellung eines Web-Bewertungsportals für unterschiedliche Lokalitäten
Scope of work
- Computer Vision in the field of driver assistant systems (fish-eye-cameras, motion estimation in camera images)
- Application of deep learning in the field of Computer Vision
Other activities
- C++ Praktikum, since 2013.
- Lab exercises: Computer Vision and Autonomous Robotics
- Exercises for the lecture: Digital image processing
- Student Counsellor for Applied Computer Science
-
Park marking-based vehicle self-localization with a fisheye topview systemHouben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F.Journal of Real-Time Image Processing, 16(2), 289–304
@article{HoubenNeuhausenMichaelEtAl2019, author = {Houben, Sebastian and Neuhausen, Marcel and Michael, Matthias and Kesten, Robert and Mickler, Florian and Schuller, Florian}, title = {Park marking-based vehicle self-localization with a fisheye topview system}, journal = {Journal of Real-Time Image Processing}, volume = {16}, number = {2}, pages = {289–304}, year = {2019}, }
Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F. (2019). Park marking-based vehicle self-localization with a fisheye topview system. Journal of Real-Time Image Processing, 16(2), 289–304.Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with OcclusionsMichael, M., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424)@inproceedings{MichaelHornHouben2019, author = {Michael, Matthias and Horn, Daniela and Houben, Sebastian}, title = {Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {1417–1424}, year = {2019}, }
Michael, M., Horn, D., & Houben, S.. (2019). Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424).2016
Fast Change Detection for Camera-based Surveillance SystemsMichael, M., Feist, C., Schuller, F., & Tschentscher, M.In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (Vol. 19, pp. 1–8)@inproceedings{MichaelFeistSchullerEtAl2016, author = {Michael, M. and Feist, C. and Schuller, F. and Tschentscher, M.}, title = {Fast Change Detection for Camera-based Surveillance Systems}, booktitle = {Proceedings of the IEEE International Conference on Intelligent Transportation Systems}, pages = {1–8}, volume = {19}, year = {2016}, }
Michael, M., Feist, C., Schuller, F., & Tschentscher, M.. (2016). Fast Change Detection for Camera-based Surveillance Systems. In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (Vol. 19, pp. 1–8).2015
Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garageIbisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F.In SPIE/IS&T Electronic Imaging International Society for Optics and Photonics@inproceedings{IbischHoubenMichaelEtAl2015, author = {Ibisch, André and Houben, Sebastian and Michael, Matthias and Kesten, Robert and Schuller, Florian}, title = {Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage}, booktitle = {SPIE/IS&T Electronic Imaging}, organization = {International Society for Optics and Photonics}, year = {2015}, }
Ibisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F. (2015). Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage. In SPIE/IS&T Electronic Imaging. International Society for Optics and Photonics.Extending Traffic Light Recognition: Efficient Classification of Phase and PictogramMichael, M., & Schlipsing, M.In Proceedings of the IEEE International Joint Conference on Neural Networks@inproceedings{MichaelSchlipsing2015, author = {Michael, M. and Schlipsing, M.}, title = {Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram}, booktitle = {Proceedings of the IEEE International Joint Conference on Neural Networks}, year = {2015}, }
Michael, M., & Schlipsing, M.. (2015). Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram. In Proceedings of the IEEE International Joint Conference on Neural Networks.2013
Real-Time Stereo Vision: Optimizing Semi-Global MatchingMichael, M., Salmen, J., Stallkamp, J., & Schlipsing, M.In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 1197–1202)@inproceedings{MichaelSalmenStallkampEtAl2013, author = {Michael, M. and Salmen, J. and Stallkamp, J. and Schlipsing, M.}, title = {Real-Time Stereo Vision: Optimizing Semi-Global Matching}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium}, pages = {1197–1202}, year = {2013}, }
Michael, M., Salmen, J., Stallkamp, J., & Schlipsing, M.. (2013). Real-Time Stereo Vision: Optimizing Semi-Global Matching. In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 1197–1202).Winter Term 2018/2019
Lab courses Intensive Course C++ Summer Term 2018
Lab courses Intensive Course C++ Winter Term 2017/2018
Lab courses Intensive Course C++ Lab courses Programming Applications in C++ Summer Term 2017
Lab courses Computer Vision Lectures Digital Image Processing Lab courses Intensive Course C++ Winter Term 2016/2017
Lab courses Computer Vision Lab courses Intensive Course C++ Lab courses Programming Applications in C++ Summer Term 2016
Lab courses Intensive Course C++ -
Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen InstanzsegmentierungAsakura, V.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany
@mastersthesis{Asakura2019, author = {Asakura, Vincent}, title = {Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }
Asakura, V. (2019). Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.2018
Entwicklung eines erweiterbaren grafischen Frameworks für KlassifikationsalgorithmenBönnighausen, N.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Bönnighausen2018, author = {Bönnighausen, Nils}, title = {Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {February}, year = {2018}, }
Bönnighausen, N. (2018, February). Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4Lüke, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Lüke2018, author = {Lüke, Kevin}, title = {Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2018}, }
Lüke, K. (2018). Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2017
Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPMBröcheler, C.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Bröcheler2017b, author = {Bröcheler, Christian}, title = {Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPM}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {March}, type = {B.Sc. thesis}, year = {2017}, }
Bröcheler, C. (2017, March). Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPM. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPNBröcheler, C.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Bröcheler2017, author = {Bröcheler, Christian}, title = {Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPN}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2017}, }
Bröcheler, C. (2017). Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPN. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2016
Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im ParkhausAsakura, V.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Asakura2016, author = {Asakura, Vincent}, title = {Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im Parkhaus}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }
Asakura, V. (2016). Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im Parkhaus. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2015
Spatio-Temporal Integral Channel Feature: Effiziente CPU-Implementierung im Viola-Jones Detection FrameworkBarowski, T.Master’s thesis, Electrical Engineering, Univ. of Bochum, Germany@mastersthesis{Barowski2015b, author = {Barowski, Thomas}, title = {Spatio-Temporal Integral Channel Feature: Effiziente CPU-Implementierung im Viola-Jones Detection Framework}, school = {Electrical Engineering, Univ. of Bochum, Germany}, month = {November}, type = {M.Sc. thesis}, year = {2015}, }
Barowski, T. (2015, November). Spatio-Temporal Integral Channel Feature: Effiziente CPU-Implementierung im Viola-Jones Detection Framework. Master’s thesis, Electrical Engineering, Univ. of Bochum, Germany.Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-FrameworkBarowski, T.Master’s thesis, ETIT, Ruhr University Bochum, Germany@mastersthesis{Barowski2015, author = {Barowski, Thomas}, title = {Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-Framework}, school = {ETIT, Ruhr University Bochum, Germany}, year = {2015}, }
Barowski, T. (2015). Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-Framework. Master’s thesis, ETIT, Ruhr University Bochum, Germany.The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, GermanyTel: (+49) 234 32-28967
Fax: (+49) 234 32-14210
2019