Soccer video and player position dataset

SA Pettersen, D Johansen, H Johansen… - Proceedings of the 5th …, 2014 - dl.acm.org
This paper presents a dataset of body-sensor traces and corresponding videos from several
professional soccer games captured in late 2013 at the Alfheim Stadium in Tromsø, Norway …

Towards vision-based smart hospitals: a system for tracking and monitoring hand hygiene compliance

A Haque, M Guo, A Alahi, S Yeung… - Machine Learning …, 2017 - proceedings.mlr.press
One in twenty-five patients admitted to a hospital will suffer from a hospital acquired
infection. If we can intelligently track healthcare staff, patients, and visitors, we can better …

Analyzing basketball movements and pass relationships using realtime object tracking techniques based on deep learning

Y Yoon, H Hwang, Y Choi, M Joo, H Oh, I Park… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we present techniques for automatically classifying players and tracking ball
movements in basketball game video clips under poor conditions, where the camera angle …

Bringing {IoT} to sports analytics

M Gowda, A Dhekne, S Shen, RR Choudhury… - … USENIX Symposium on …, 2017 - usenix.org
This paper explores the possibility of bringing IoT to sports analytics, particularly to the game
of Cricket. We develop solutions to track a ball's 3D trajectory and spin with inexpensive …

Comprehensive survey of human-activity detection and recognition with time-series model

K Ishwarya, AA Nithya - AIP Conference Proceedings, 2023 - pubs.aip.org
Human activity recognition (HAR)-the exciting time series based classification task has been
categorize into vision, sensor and hybrid approaches based on the input modality. The …

Bagadus: An integrated real-time system for soccer analytics

HK Stensland, VR Gaddam, M Tennøe… - ACM Transactions on …, 2014 - dl.acm.org
The importance of winning has increased the role of performance analysis in the sports
industry, and this underscores how statistics and technology keep changing the way sports …

Multimedia and medicine: Teammates for better disease detection and survival

M Riegler, M Lux, C Griwodz, C Spampinato… - Proceedings of the 24th …, 2016 - dl.acm.org
Health care has a long history of adopting technology to save lives and improve the quality
of living. Visual information is frequently applied for disease detection and assessment, and …

Predicting outcome of Indian premier league (IPL) matches using machine learning

R Lamsal, A Choudhary - arxiv preprint arxiv:1809.09813, 2018 - arxiv.org
Cricket, especially the Twenty20 format, has maximum uncertainty, where a single over can
completely change the momentum of the game. With millions of people following the Indian …

Efficient live and on-demand tiled HEVC 360 VR video streaming

M Jeppsson, HN Espeland, T Kupka… - … Journal of Semantic …, 2019 - World Scientific
360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers
immersive user experiences, but as such technology becomes commonplace, the need for …

Secrets of soccer: Neural network flows and game performance

M Marchiori, M de Vecchi - Computers & Electrical Engineering, 2020 - Elsevier
Soccer is the most popular sport in the world, with currently over three billion fans. There are
various reasons for this success, but a unique feature of soccer stands out: every match has …