Ghent University Academic Bibliography

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- Journal Article
- A1
- open access
A machine learning approach for the classification of sports based on a coaches' perspective of environmental, individual and task requirements : a sports profile analysis

Jan Willem Teunissen (UGent) , Irene R. Faber, Jelle De Bock (UGent) , Maarten Slembrouck (UGent) , Steven Verstockt (UGent) , Matthieu Lenoir (UGent) and Johan Pion (UGent)

(2025) JOURNAL OF SPORTS SCIENCES. 43(1). p.23-32
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- Journal Article
- A1
- open access
Fully automatic camera for personalized highlight generation in sporting events

Robbe Decorte (UGent) , Jelle De Bock (UGent) , Joachim Taelman (UGent) , Maarten Slembrouck (UGent) and Steven Verstockt (UGent)

(2024) SENSORS. 24(3).
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- Journal Article
- A2
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'There is more that unites us than divides us' : optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities

Jan Willem Teunissen (UGent) , Jelle De Bock (UGent) , Dominique Schasfoort, Maarten Slembrouck (UGent) , Steven Verstockt (UGent) , Matthieu Lenoir (UGent) and Johan Pion (UGent)

(2024) FRONTIERS IN SPORTS AND ACTIVE LIVING. 6.
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- Conference Paper
- C3
- open access
Low cost and personalized highlight generation during cycling races

Robbe Decorte (UGent) , Jelle De Bock (UGent) , Maarten Slembrouck (UGent) and Steven Verstockt (UGent)

(2023) Science & Cycling 2023, Abstracts.
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- Conference Paper
- C3
- open access
Automated PTZ framing of track cyclists using timing loops

Maarten Slembrouck (UGent) , Robbe Decorte (UGent) , Jelle De Bock (UGent) and Steven Verstockt (UGent)

(2023) Science & Cycling 2023, Abstracts.
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- Conference Paper
- C3
- open access
Sensor-driven recording and annotation of dry slope jumps

Steven Verstockt (UGent) , Timothy De Bock, Jelle De Bock (UGent) , Robbe Decorte (UGent) , Jelle Vanhaeverbeke (UGent) and Maarten Slembrouck (UGent)

(2023) Abstract Book of the 9th International Congress on Science and Skiing. p.63-64
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- PhD Thesis
Data-driven performance and safety analysis in cycling races

Jelle De Bock (UGent)

(2023)
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Road cycling safety scoring based on geospatial analysis, computer vision and machine learning

Jelle De Bock (UGent) and Steven Verstockt (UGent)

(2023) MULTIMEDIA TOOLS AND APPLICATIONS. 82(6). p.8359-8380
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- Conference Paper
- C3
- open access
Computer vision-based gate crossing detection for timing and analysis of ski and snowboard races

Robbe Decorte (UGent) , Jelle De Bock (UGent) , Maarten Slembrouck (UGent) and Steven Verstockt (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
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Video- and location-based analysis of cycling routes for safety measures and fan engagement

Pirlouit Dumez, Guillaume Prevost, Maarten Slembrouck (UGent) , Jelle De Bock (UGent) , Julien Marbaix and Steven Verstockt (UGent)

(2022) PROCEEDINGS OF THE 5TH ACM INTERNATIONAL WORKSHOP ON MULTIMEDIA CONTENT ANALYSIS IN SPORTS, MMSPORTS 2022. p.29-37

Academic Bibliography

A machine learning approach for the classification of sports based on a coaches' perspective of environmental, individual and task requirements : a sports profile analysis

Fully automatic camera for personalized highlight generation in sporting events

'There is more that unites us than divides us' : optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities

Low cost and personalized highlight generation during cycling races

Automated PTZ framing of track cyclists using timing loops

Sensor-driven recording and annotation of dry slope jumps

Data-driven performance and safety analysis in cycling races

Road cycling safety scoring based on geospatial analysis, computer vision and machine learning

Computer vision-based gate crossing detection for timing and analysis of ski and snowboard races

Video- and location-based analysis of cycling routes for safety measures and fan engagement

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