Title:
Player Localization Using Multiple Static Cameras for Sports Visualization
Player Localization Using Multiple Static Cameras for Sports Visualization
| dc.contributor.author | Hamid, Raffay | |
| dc.contributor.author | Kumar, Ram Krishan | |
| dc.contributor.author | Grundmann, Matthias | |
| dc.contributor.author | Kim, Kihwan | |
| dc.contributor.author | Essa, Irfan | |
| dc.contributor.author | Hodgins, Jessica K. | |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | |
| dc.contributor.corporatename | Georgia Institute of Technology. College of Computing | |
| dc.contributor.corporatename | Disney Research | |
| dc.date.accessioned | 2011-03-28T20:02:01Z | |
| dc.date.available | 2011-03-28T20:02:01Z | |
| dc.date.issued | 2010-06 | |
| dc.description | ©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
| dc.description | Presented at the 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA. | |
| dc.description | DOI: 10.1109/CVPR.2010.5540142 | |
| dc.description.abstract | We present a novel approach for robust localization of multiple people observed using multiple cameras. We use this location information to generate sports visualizations, which include displaying a virtual offside line in soccer games, and showing players' positions and motion patterns. Our main contribution is the modeling and analysis for the problem of fusing corresponding players' positional information as finding minimum weight K-length cycles in complete K-partite graphs. To this end, we use a dynamic programming based approach that varies over a continuum of being maximally to minimally greedy in terms of the number of paths explored at each iteration. We present an end-to-end sports visualization framework that employs our proposed algorithm-class. We demonstrate the robustness of our framework by testing it on 60,000 frames of soccer footage captured over 5 different illumination conditions, play types, and team attire. | en_US |
| dc.identifier.citation | Hamid, R., Kumar, R.K., Grundmann, M., Kim, K., Essa, I., & Hodgins, J. (2010). "Player Localization Using Multiple Static Cameras for Sports Visualization." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), 13-18 June 2010, 731-738. | en_US |
| dc.identifier.issn | 1063-6919 | |
| dc.identifier.uri | http://hdl.handle.net/1853/38307 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | |
| dc.subject | Data fusion | en_US |
| dc.subject | Multi-player sports | en_US |
| dc.subject | Multiple synchronized cameras | en_US |
| dc.subject | Sports visualization systems | en_US |
| dc.title | Player Localization Using Multiple Static Cameras for Sports Visualization | en_US |
| dc.type | Text | |
| dc.type.genre | Post-print | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Essa, Irfan | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
| relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
| relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |