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» A Novel Computer Vision Technique Used On Sport Video
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CVPR
2011
IEEE
13 years 4 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 m...
Wei-Lwun Lu, Jo-Anne Ting, Kevin Murphy, Jim Littl...
3DIM
2007
IEEE
14 years 2 months ago
Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events
Generating free-viewpoint video in outdoor sports environments is currently an unsolved problem due to difficulties in obtaining accurate background segmentation and camera calib...
Joe Kilner, Jonathan Starck, Adrian Hilton, Oliver...
ECCV
2006
Springer
14 years 9 months ago
Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video
The determination of the player's gestures and actions in sports video is a key task in automating the analysis of the video material at a high level. In many sports views, th...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
CVPR
2007
IEEE
14 years 9 months ago
Segmental Hidden Markov Models for View-based Sport Video Analysis
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Yi Ding, Guoliang Fan
ICDCSW
2003
IEEE
14 years 1 months ago
A Novel Video Shot Detection Technique Using Color Anglogram and Latent Semantic Indexing
In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and highlevel concepts in the domain of video shot detection. We intro...
Rong Zhao, William I. Grosky