The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch

Author:

Sarkhoosh Mehdi Houshmand1ORCID,Gautam Sushant2ORCID,Midoglu Cise3ORCID,Sabet Saeed Shafiee4ORCID,Torjusen Thomas5ORCID,Halvorsen Pål6ORCID

Affiliation:

1. OsloMet & Forzasys, Norway

2. SimulaMet & OsloMet, Norway

3. SimulaMet & Forzasys, Norway

4. Forzasys, Norway

5. Norwegian Professional Football League, Norway

6. SimulaMet, OsloMet & Forzasys, Norway

Publisher

ACM

Reference31 articles.

1. Daniel Berjón, Carlos Cuevas, and Narciso García. 2023. Soccer line mark segmentation and classification with stochastic watershed transform. Signal Process. Image Commun. 118 (Oct. 2023), 117014.

2. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. 2022. SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. In Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 19--20.

3. Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam J. Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, and Marc Van Droogenbroeck. 2021. SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. In Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 19--25.

4. Fédération internationale de football association (FIFA). 2023. Pitch Dimensions and Surrounding Areas | FIFA Publications. https://publications.fifa.com/en/football-stadiums-guidelines/technical-guideline/stadium-guidelines/pitch-dimensions-and-surrounding-areas [Online; accessed 15. Mar. 2024].

5. Sushant Gautam. 2022. AI-based Soccer Game Summarization: From Video Highlights to Dynamic Text Summaries. Master's Thesis, Tribhuvan University. https://www.researchgate.net/publication/363857936_AI-based_Soccer_Game_Summarization_From_Video_Highlights_to_Dynamic_Text_Summaries

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