TY - GEN
T1 - Robust player gesture spotting and recognition in low-resolution sports video
AU - Roh, Myung Cheol
AU - Christmas, Bill
AU - Kittler, Joseph
AU - Lee, Seong Whan
PY - 2006
Y1 - 2006
N2 - 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, the camera covers a large part of the sports arena, so that the resolution of player's region is low. This makes the determination of the player's gestures and actions a challenging task, especially if there is large camera motion. To overcome these problems, we propose a method based on curvature scale space templates of the player's silhouette. The use of curvature scale space makes the method robust to noise and our method is robust to significant shape corruption of a part of player's silhouette. We also propose a new recognition method which is robust to noisy sequences of data and needs only a small amount of training data.
AB - 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, the camera covers a large part of the sports arena, so that the resolution of player's region is low. This makes the determination of the player's gestures and actions a challenging task, especially if there is large camera motion. To overcome these problems, we propose a method based on curvature scale space templates of the player's silhouette. The use of curvature scale space makes the method robust to noise and our method is robust to significant shape corruption of a part of player's silhouette. We also propose a new recognition method which is robust to noisy sequences of data and needs only a small amount of training data.
UR - http://www.scopus.com/inward/record.url?scp=33745860326&partnerID=8YFLogxK
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U2 - 10.1007/11744085_27
DO - 10.1007/11744085_27
M3 - Conference contribution
AN - SCOPUS:33745860326
SN - 3540338381
SN - 9783540338383
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 347
EP - 358
BT - Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings
T2 - 9th European Conference on Computer Vision, ECCV 2006
Y2 - 7 May 2006 through 13 May 2006
ER -