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CVPR
2011
IEEE

Identifying Players in Broadcast Sports Videos using Conditional Random Fields

8 years 2 months ago
Identifying Players in Broadcast Sports Videos using Conditional Random Fields
We are interested in the problem of automatic tracking and identification of players in broadcast sport videos shot with a moving camera from a medium distance. While there are many good tracking systems, there are fewer methods that can identify the tracked players. Player identification is challenging in such videos due to blurry facial features (due to fast camera motion and low-resolution) and rarely visible jersey numbers (which, when visible, are deformed due to player movements). We introduce a new system consisting of three components: a robust tracking system, a robust person identification system, and a conditional random field (CRF) model that can perform joint probabilistic inference about the player identities. The resulting system is able to achieve a player recognition accuracy up to 85% on unlabeled NBA basketball clips.
Wei-Lwun Lu, Jo-Anne Ting, Kevin Murphy, Jim Littl
Added 31 Mar 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Wei-Lwun Lu, Jo-Anne Ting, Kevin Murphy, Jim Little
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