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Dr.-Ing. Florian Schmidt

research associate


Brief Biography

  • Diploma degree in geodesy and geoinformatics from University of Karlsruhe in 2009
  • Research associate and PhD student at the Insitute for Photogrammetry and Remote Sensing at KIT from 01.07.2009 to 31.12.2012
  • Promotion am 23.11.2012 zum Thema "Ein integraler stochastischer Ansatz zur automatischen Bestimmung von Personentrajektorien aus Luftbildsequenzen"

Research Interests

  • object detection
  • multi-object tracking
  • machine learning

Current Project

Detection of People and Motion Analysis in Aerial Image Sequences

The German Aerospace Center (DLR) has developed an airborne camera system which is especially designed for monitoring traffic and natural disasters in near real time. This work focuses on developing algorithms for an automatic analysis of the captured aerial image sequences. The goal is to derive information about the density and motion of people in a certain area which could be used to detect abnormal events or to monitor large events in a more efficient way.

project page (in german)

Publications

2011

  • Butenuth, M.; Burkert, F.; Kneidl, A.; Borrmann, A.; Schmidt, F.; Hinz, S.; Sirmacek, B.; Hartmann, D. (2011): Integrating pedestrian simulation, tracking and event detection for crowd analysis. First IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, pp. 150-157 (doi, pdf, bib) : double-blind peer-reviewed workshop paper
  • Schmidt, F.; Hinz. S. (2011): A Scheme for the Detection and Tracking of People Tuned for Aerial Image Sequences. PIA11, LNCS 6952, Springer, pp. 257-270 (doi, pdf, bib) : double-blind peer-reviewed conference paper

2010

  • Burkert, F.; Schmidt, F.; Butenuth, M.; Hinz, S. (2010): People Tracking and Trajectory Interpretation in Aerial Image Sequences. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII Part 3A, pp. 209-214 (pdf, bib) : double-blind peer-reviewed conference paper
More detailed information is available within the KIT-network.