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Workshop on Computer Vision for Sports Applications - cvSPORTS 2018

20 - 21 September, 2018 - Seville, Spain

In conjunction with the 6th International Congress on Sport Sciences Research and Technology Support - icSPORTS 2018


Jürgen Metzler
Fraunhofer IOSB
Brief Bio
Jürgen Metzler received his Diploma in Computer Science from Karlsruhe University in 2006. He currently hold a research position at Fraunhofer IOSB. His research interests are in the field of image exploitation, especially object detection, tracking, re-identification as well as video-based situation reconstruction and awareness for ground- and air-based moving platforms. His PhD topic addresses methods for detection, tracking and re-identification of persons in low-resolution images. He has collected experiences in several visual-assisted soccer projects for 5 years.
Thomas Pollok
Fraunhofer IOSB
Brief Bio
Thomas Pollok received the B.Sc. degree in computer science from the University of Applied Sciences, Karlsruhe, Germany in 2012 and his M.Sc. in computer science at the Berlin Institute of Technology, Berlin, Germany in 2016. To support his Bachelor Thesis at the Computer Vision Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, he received a scholarship in 2011 by the State of Baden-Württemberg. During his studies, he intensively collaborated with the Fraunhofer IOSB in the field of image-based real-time systems where he currently is working towards his PhD. His research interests are in the field of Computer Vision, especially, multi-camera calibration, 3D and 4D scene reconstruction and real-time systems. In this area, he developed a soccer precision trainer prototype that includesa 3D reconstruction and an estimation of the soccer ball trajectory using a mobile stereo camera system.
Chengchao Qu
Fraunhofer IOSB
Brief Bio
Chengchao Qu received his Diploma in Computer Science from Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, in 2012. From August 2012, he joined Fraunhofer IOSB as a research assistant in the field of computer vision and machine learning, where he finished his PhD thesis addressing registration, 3D reconstruction and Super-Resolution of low-quality face images in May 2018. In recent years, he has been involved in several visual-assisted soccer projects.


Computer vision and machine learning techniques, especially Deep Learning are playing an ever-increasing role in the domain of sports. Automatic collection and exploitation of sports data with cameras are of high interest for training purposes, match analysis, statistic collection, referee support, replay creation and many other sports applications. However, there is still need of research and improvements of vision and cognitive based approaches in this domain. The current state-of-the-art systems are able to automatically collect and analyse sports data, however, they have shortcomings in the precision or manual post processing is necessary. This workshop focuses on the application of computer vision approaches in sports. We will explore novel approaches and sophisticated ideas of how vision-assisted systems can improve sports applications.

Topics of Interest

Topics of interest include (but are not limited to):
  • Detection, tracking and trajectory reconstruction of players and balls
  • Deep Learning techniques for classification of sports objects and events
  • Prediction of match results
  • Automatic statistic collection and analysis
  • Player rating
  • Novel 2D/3D visualizations in sports
  • Recent advances in vision-assisted training support and feedback


Paper Submission: July 19, 2018 (expired)
Authors Notification: July 23, 2018 (expired)
Camera Ready and Registration: July 31, 2018 (expired)


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in the workshop proceedings book, under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


icSPORTS Workshops - cvSPORTS 2018