Paper Abstract The massive growth of sports videos has resulted in a need for automatic generation of sports highlights that are comparable in quality to the hand-edited highlights produced by broadcasters such as ESPN. Unlike previous works that mostly use audio-visual cues derived from the video, we propose an approach that additionally leverages contextual cues […]
Dagstuhl Workshop 2015: "Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training"
Participated in the Dagstuhl Workshop on “Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training” at the Dagstuhl Castle, September 13 – 16, 2015. Motivation Computational modeling and simulation are essential to analyze human motion and interaction in sports science. Applications range from game analysis, issues in training science like training load-adaptation […]
Paper in CVIU 2013 "A Visualization Framework for Team Sports Captured using Multiple Static Cameras"
Abstract We present a novel approach for robust localization of multiple people observed using a set of static cameras. We use this location information to generate a visualization of the virtual offside line in soccer games. To compute the position of the offside line, we need to localize players′ positions, and identify their team roles. […]
Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain Matthews, Jessica Hodgins, Irfan Essa (2010) “Motion Field to Predict Play Evolution in Dynamic Sport Scenes” in Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions […]
Raffay Hamid, Ram Krishan Kumar, Matthias Grundmann, Kihwan Kim, Irfan Essa, Jessica Hodgins (2010), “Player Localization Using Multiple Static Cameras for Sports Visualization” In Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract We present a novel approach for robust localization of multiple people observed using multiple […]