Multimedia Computing and Computer Vision Lab

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Dan Zecha

From Multimedia Computing Lab - University of Augsburg


Main
  • Phone:
    • +49 (821) 598 4386
  • Room:
    • 1025N

Research Interests

  • In general: computer vision algorithms, image and video processing, machine learning ("old school" as well as deep learning)
  • More specifically: human pose estimation with a focus on human pose analysis, kinematic and dynamic parameter extraction from pose estimates in videos footage

Projects

  • Swimmer detection and pose estimation for continuous stroke rate determination ( project page )

Publications

  • Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha, Rainer Lienhart, A Closer Look: Small Object Detection in Faster R-CNN, IEEE ICME 2017 Hong Kong, China, July 2017. to appear
  • Dan Zecha, Christian Eggert, Rainer Lienhart, Pose Estimation for Deriving Kinematic Parameters of Competitive Swimmers, Computer Vision Applications in Sports, part of IS&T Electronic Imaging 2017, Burlingame, California, January 2017. [PDF]
  • Christian Eggert, Anton Winschel, Dan Zecha, Rainer Lienhart, Saliency-guided Selective Magnification for Company Logo Detection, International Conference on Pattern Recognition 2016 (ICPR 2016), Cancun, December 2016.
  • Dan Zecha and Rainer Lienhart. Key-Pose Prediction in Cyclic Human Motion. IEEE Winter Conference on Applications of Computer Vision 2015 (WACV15), Waikoloa Beach, HI, January 6-9, 2015 [PDF]
  • Dan Zecha and Rainer Lienhart. Bestimmung intrazyklischer Phasengeschwindigkeiten von Schwimmern im Schwimmkanal mittels vollautomatischer Videoanalyse. Technical Report 2014-04, University of Augsburg, Institute of Computer Science, July 2014. [PDF]
  • Dan Zecha, Thomas Greif, and Rainer Lienhart. Swimmer Detection and Pose Estimation for Continuous Stroke Rate Determination. Multimedia Content Access: Algorithms and Systems VI, part of IS&T/SPIE Electronic Imaging, 23 January 2012, Burlingame, California, USA
    Also Technical Report 2011-13, University of Augsburg, Institute of Computer Science, July 2011. [PDF] [Video]

Presentations

  • Dan Zecha, Jürgen Küchler, Rainer Lienhart. Leistungsdiagnose von Freiwasser- und Beckenschwimmern im Strömungskanal mittels hoch-moderner tiefer neuronaler Netze, 6. BISp Symposium, 13-14 March 2017, SportCentrum Kamen-Kaisenau, Germany.
  • Dan Zecha and Rainer Lienhart. Bestimmung intrazyklischer Phasengeschwindigkeiten von Schwimmern im Schwimmkanal mittels vollautomatischer Videoanalyse. DVS Schulung, 27. September 2014, Leipzig, Germany.
  • Dan Zecha and Rainer Lienhart. Bestimmung intrazyklischer Phasengeschwindigkeiten von Schwimmern im Schwimmkanal mittels vollautomatischer Videoanalyse. 16 Frühjahrsschule Informations- und Kommunikationstechnologien in der angewandten Trainingswissenschaft, 9-10 April 2014, Leipzig, Germany.
  • Dan Zecha and Rainer Lienhart. Automating quantitative performance analyses of swimmers by means of continuous pose estimation in videos. 21 dvs-Hochschultag, 25-27 September 2013, Konstanz, Germany.

Theses

  • Dan Zecha. An Analysis and Efficient Implementation of Felzenszwalb's Object Detection System. Master Thesis, March 2013. [PDF]
  • Dan Zecha. Detecting Swimmers and Estimating their Pose in a Swimming Channel. Bachelor Thesis, June 2011. [PDF]

Teaching