000217959 001__ 217959
000217959 005__ 20190317000424.0
000217959 037__ $$aCONF
000217959 245__ $$aWhat Players do with the Ball: A Physically Constrained Interaction Modeling
000217959 269__ $$a2016
000217959 260__ $$c2016
000217959 336__ $$aConference Papers
000217959 520__ $$aTracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low resolution images, due to the small size of the ball, its speed that creates motion blur, and its often being occluded by players. In this paper, we propose a generic and principled approach to modeling the interaction between the ball and the players while also imposing appropriate physical constraints on the ball’s trajectory. We show that our approach, formulated in terms of a Mixed Integer Program, is more robust and more accurate than several state-of-the-art approaches on real-life volleyball, basketball, and soccer sequences.
000217959 700__ $$0248995$$g244291$$aMaksai, Andrii
000217959 700__ $$0245095$$g199318$$aWang, Xinchao
000217959 700__ $$0240252$$g112366$$aFua, Pascal
000217959 7112_ $$dJun 26 - Jul 1 2016$$cLas Vegas$$aInternational Conference on Computer Vision and Pattern Recognition (CVPR)
000217959 8564_ $$uhttps://infoscience.epfl.ch/record/217959/files/1862.pdf$$zn/a$$s2892226$$yn/a
000217959 8564_ $$uhttps://infoscience.epfl.ch/record/217959/files/1862-supp.zip$$zn/a$$s634982
000217959 909C0 $$xU10659$$0252087$$pCVLAB
000217959 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:217959$$pIC
000217959 917Z8 $$x244291
000217959 917Z8 $$x112366
000217959 937__ $$aEPFL-CONF-217959
000217959 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000217959 980__ $$aCONF