Mitarbeiter IES

M.Sc. Daniel Stadler

  • Karlsruher Institut für Technologie – KIT
    Lehrstuhl für Interaktive Echtzeitsysteme (IES)
    Prof. Dr.- Ing. Jürgen Beyerer
    c/o Technologiefabrik
    Haid-und-Neu-Str. 7
    76131 Karlsruhe

Lebenslauf

Daniel Stadler studierte von 2013 bis 2019 Elektro- und Informationstechnik am Karlsruher Institut für Technologie. Seine Masterarbeit „Using Temporal Information for Improved Vehicle Detection in Aerial Images“ verfasste er in der Abteilung Videoauswertesysteme (VID) am Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung (IOSB). Seit September 2019 ist Herr Stadler als wissenschaftlicher Mitarbeiter am Lehrstuhl für Interaktive Echtzeitsysteme tätig. Aufbauend auf seiner Masterarbeit beschäftigt er sich derzeit mit Verfahren der Objektdetektion in Videos. Herr Stadler arbeitet dabei in enger Kooperation mit der Abteilung VID des Fraunhofer IOSB zusammen.

Veröffentlichungen


2023
Past Information Aggregation for Multi-Person Tracking
Stadler, D.; Beyerer, J.
2023. 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 08-11 October 2023, 321–325, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICIP49359.2023.10223159
An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions
Eisemann, L.; Fehling-Kaschek, M.; Gommel, H.; Hermann, D.; Klemp, M.; Lauer, M.; Lickert, B.; Luettner, F.; Moss, R.; Neis, N.; Pohle, M.; Romanski, S.; Stadler, D.; Stolz, A.; Ziehn, J.; Zhou, J.
2023. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC 2003), 2440–2447, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC57777.2023.10422676
A Detailed Study of the Association Task in Tracking-by-Detection-based Multi-Person Tracking
Stadler, D.
2023. Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, 59–85, KIT Scientific Publishing
BYTEv2: Associating More Detection Boxes Under Occlusion for Improved Multi-person Tracking
Stadler, D.; Beyerer, J.
2023. Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. Part I. Ed.: J.-J. Rousseau, 79–94, Springer. doi:10.1007/978-3-031-37660-3_6
An Improved Association Pipeline for Multi-Person Tracking
Stadler, D.; Beyerer, J.
2023. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
2022
Multi Person Tracking with a Multi Hypothesis Approach for Ambiguous Assignments
Stadler, D.
2022. Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 153–167, Karlsruher Institut für Technologie (KIT)
Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
Stadler, D.; Beyerer, J.
2022. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 133–142, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACVW54805.2022.00019
2021
On the Performance of Crowd-Specific Detectors in Multi-Pedestrian Tracking
Stadler, D.; Beyerer, J.
2021. 2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 1–12, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS52988.2021.9663836
Multi-Pedestrian Tracking with Clusters
Stadler, D.; Beyerer, J.
2021. 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 1–10, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS52988.2021.9663829
Multi-Object Tracking in Drone Videos
Stadler, D.
2021. Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer; T. Zander, 123–133, KIT Scientific Publishing
An Occlusion-Aware Multi-Target Multi-Camera Tracking System
Specker, A.; Stadler, D.; Florin, L.; Beyerer, J.
2021. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 4168–4177, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CVPRW53098.2021.00471
Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling
Stadler, D.; Beyerer, J.
2021. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10958–10967, Institute of Electrical and Electronics Engineers (IEEE)
PAS Tracker: Position-, Appearance- and Size-Aware Multi-object Tracking in Drone Videos
Stadler, D.; Sommer, L. W.; Beyerer, J.
2021. Computer Vision – ECCV 2020 Workshops. Part IV. Ed.: A. Bartoli, 604–620, Springer International Publishing. doi:10.1007/978-3-030-66823-5_36
2020
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
Fan, H.; Du, D.; Wen, L.; Zhu, P.; Hu, Q.; Ling, H.; Shah, M.; Pan, J.; Schumann, A.; Dong, B.; Stadler, D.; Xu, D.; Bunyak, F.; Seetharaman, G.; Liu, G.; Haritha, V.; Hrishikesh, P. S.; Han, J.; Palaniappan, K.; Zhu, K.; Sommer, L. W.; Zhang, L.; Shine, L.; Yao, M.; Al-Shakarji, N. M.; Li, S.; Sun, T.; Sai, W.; Yu, W.; Wu, X.; Hong, X.; Wei, X.; Zhao, X.; Zhao, Y.; Gong, Y.; Yao, Y.; He, Y.; Zhao, Z.; Xie, Z.; Yang, Z.; Xu, Z.; Luo, Z.; Duan, Z.
2020. Computer Vision – ECCV 2020 Workshops : Glasgow, UK, August 23–28, 2020, Proceedings, Part 4. Ed.: A. Bartoli, 713–727, Springer International Publishing. doi:10.1007/978-3-030-66823-5_43