Papers Sports Analytics
“Sports Analytics” 태그가 달린 논문 97편 · 필터 해제
Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
In sports analytics, home field advantage is a robust phenomenon where the home team wins more games than the away team. However, discovering the causal factors behind home field advantage presents unique challenges due …
Causal DiscoverySports AnalyticsDIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization
Traditional approaches -- such as Win Probability Added (WPA)-based ranking or computer vision-driven event detection -- can identify scoring plays but often miss strategic depth, momentum shifts, and storyline progressi…
Event DetectionSports AnalyticsSoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding
The integration of artificial intelligence in sports analytics has transformed soccer video understanding, enabling real-time, automated insights into complex game dynamics. Traditional approaches rely on isolated data s…
Action ClassificationAutomatic Speech RecognitionAutomatic Speech Recognition (ASR)Decision Making+4Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges
Video event detection has become an essential component of sports analytics, enabling automated identification of key moments and enhancing performance analysis, viewer engagement, and broadcast efficiency. Recent advanc…
Action LocalizationAction SpottingEvent DetectionKnowledge Distillation+4From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup
Accurate prediction of FIFA World Cup match outcomes holds significant value for analysts, coaches, bettors, and fans. This paper presents a machine learning framework specifically designed to forecast match winners in F…
Dimensionality ReductionHyperparameter OptimizationSports AnalyticsTowards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
Analyzing a player's technique in table tennis requires knowledge of the ball's 3D trajectory and spin. While, the spin is not directly observable in standard broadcasting videos, we show that it can be inferred from the…
Monocular 3D Object LocalizationSports AnalyticsSynthetic Data GenerationTrajectory Prediction+1Action Anticipation from SoccerNet Football Video Broadcasts
Artificial intelligence has revolutionized the way we analyze sports videos, whether to understand the actions of games in long untrimmed videos or to anticipate the player's motion in future frames. Despite these effort…
Action AnticipationAction SpottingSports AnalyticsSoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
Sports video analysis is a key domain in computer vision, enabling detailed spatial understanding through multi-view correspondences. In this work, we introduce SoccerNet-v3D and ISSIA-3D, two enhanced and scalable datas…
Camera CalibrationObject LocalizationScene UnderstandingSports AnalyticsTowards Unconstrained 2D Pose Estimation of the Human Spine
We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports analytics, healthcare, and realistic animation. Existing pose datasets of…
2D Pose EstimationActive LearningKnowledge DistillationPose Estimation+1Action Valuation in Sports: A Survey
Action Valuation (AV) has emerged as a key topic in Sports Analytics, offering valuable insights by assigning scores to individual actions based on their contribution to desired outcomes. Despite a few surveys addressing…
Sports AnalyticsSurveyST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models
Spatio-temporal reasoning is essential in understanding real-world environments in various fields, eg, autonomous driving and sports analytics. Recent advances have improved the spatial reasoning ability of Vision-Langua…
4D reconstructionAutonomous DrivingSpatial ReasoningSports AnalyticsSimulating Tracking Data to Advance Sports Analytics Research
Advanced analytics have transformed how sports teams operate, particularly in episodic sports like baseball. Their impact on continuous invasion sports, such as soccer and ice hockey, has been limited due to increased ga…
Sports AnalyticsTrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos
Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactical strategies. However, existing datasets…
Game State ReconstructionMulti-Object TrackingObject TrackingPose Estimation+1GridMind: A Multi-Agent NLP Framework for Unified, Cross-Modal NFL Data Insights
The rapid growth of big data and advancements in computational techniques have significantly transformed sports analytics. However, the diverse range of data sources -- including structured statistics, semi-structured fo…
ArticlesData IntegrationRAGRepresentation Learning+3Multi-Stage Generative Upscaler: Reconstructing Football Broadcast Images via Diffusion Models
The reconstruction of low-resolution football broadcast images presents a significant challenge in sports broadcasting, where detailed visuals are essential for analysis and audience engagement. This study introduces a m…
Image ReconstructionSports AnalyticsVideo EnhancementSpiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data
Currently, most research and public datasets for video sports analytics are base on detecting players as bounding boxes in broadcast videos. Going from there to precise locations on the pitch is however hard. Modern solu…
3D Object DetectionSports AnalyticsMetamorphic Testing for Pose Estimation Systems
Pose estimation systems are used in a variety of fields, from sports analytics to livestock care. Given their potential impact, it is paramount to systematically test their behaviour and potential for failure. This is a …
Pose EstimationSports AnalyticsOpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
Sports analytics has become both more professional and sophisticated, driven by the growing availability of detailed performance data. This progress enables applications such as match outcome prediction, player scouting,…
PredictionSports AnalyticsFACTS: Fine-Grained Action Classification for Tactical Sports
Classifying fine-grained actions in fast-paced, close-combat sports such as fencing and boxing presents unique challenges due to the complexity, speed, and nuance of movements. Traditional methods reliant on pose estimat…
Action ClassificationAction RecognitionClassificationFine-grained Action Recognition+2Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences
Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot interaction frameworks, and it concerns the i…
Action RecognitionSports AnalyticsTemporal Action Localization