Dipl.-Math. Roberto Henschel
Leibniz Universität Hannover
eNIFE
Schneiderberg 32
30167 Hannover
Germany
phone: +49 511 762-5311
fax: +49 511 762-5333
office location: room 239
 

Roberto Henschel studied Mathematics with a minor in Computer Science at the Freie Universität Berlin. He received his Dipl.-Math. degree from the Freie Universität Berlin in March 2012. His diploma thesis "Lattice Theoretic Implications on Chromatic Polynomials and Relations to Geometry" dealt with computing chromatic polynomials by applying Ehrhart theory.

 

In 2012-2013 he had been working at 'Fachbereich Mathematik' at the TU Darmstadt as a research assistant. Since then he has been working as a research assistant toward a PhD degree at the 'Institut für Informationverarbeitung' at the Leibniz University of Hannover. His research interests include multiple people tracking and graph algorithms.

Show recent publications only
  • Conference Contributions
    • Andrea Hornakova*, Roberto Henschel*, Bodo Rosenhahn, Paul Swoboda, (* equal contribution)
      Lifted Disjoint Paths with Application in Multiple Object Tracking
      Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020
    • Roberto Henschel, Timo von Marcard, Rosenhahn Bodo
      Simultaneous Identification and Tracking of Multiple People using Video and IMUs
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
    • Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn
      Multiple People Tracking using Body and Joint Detections
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
    • Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn, Gerard Pons-Moll
      Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
      European Conference on Computer Vision, September 2018
    • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
      Fusion of Head and Full-Body Detectors for Multi-Object Tracking
      Computer Vision and Pattern Recognition Workshops (CVPRW), accepted as spotlight presentation, June 2018
    • Holger Meuel, Luis Angerstein, Roberto Henschel, Bodo Rosenhahn, Jörn Ostermann
      Moving Object Tracking for Aerial Video Coding using Linear Motion Prediction and Block Matching
      Proceedings of the 32nd Picture Coding Symposium (PCS), pp. 1-5, Nuremberg, Germany, December 2016
    • Roberto Henschel, Laura Leal-Taixé, Rosenhahn Bodo
      Solving Multiple People Tracking In A Minimum Cost Arborescence
      IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), accepted as oral presentation, 1st Workshop on Benchmarking Multi-target Tracking (BMTT), Waikoloa Beach, Hawaii, USA, January 2015
    • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
      Efficient Multiple People Tracking Using Minimum Cost Arborescences
      German Conference on Pattern Recognition (GCPR), accepted as oral presentation, Münster, Germany, September 2014
  • Journals
    • Roberto Henschel, Timo von Marcard, Bodo Rosenhahn
      Accurate Long-Term Multiple People Tracking using Video and Body-Worn IMUs
      IEEE Transactions on Image Processing, IEEE, 2020
  • Technical Report
    • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
      Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking
      arXiv preprint, May 2017
    • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler
      Tracking with multi-level features
      arXiv, July 2016
Other activities

Student positions

Student positions (HiWi,bachelor and master’s thesis) are available as part of the project Multiple People Tracking .
If you are interested in any of these position, please do not hesitate to contact me.

Auszeichnungen:

 

Urkunde

Unser Ansatz Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking ist der Gewinner in der CVPR 2017 Challenge, Multiple Object Tracking (MOT17) des 1st Joint BMTT-PETS Workshop on Tracking and Surveillance .

Urkunde

Unser Paper Solving Multiple People Tracking In A Minimum Cost Arborescence erreichte den 2ten Platz in der WACV 2015 Challenge des 1st Workshop on Benchmarking Multi-target Tracking.